[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-lllllllama-paper-context-resolver-en":3,"guides-for-lllllllama-paper-context-resolver":500,"similar-k175ertwjfkcvp66gkbsvvsjf586mb1e-en":501},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":243,"isFallback":228,"parentExtension":248,"providers":249,"relations":254,"repo":256,"tags":496,"workflow":497},1778692396032.7783,"k175ertwjfkcvp66gkbsvvsjf586mb1e",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Optional narrow helper skill for README-first AI repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.",{"claudeCode":12},"lllllllama/ai-paper-reproduction-skill","paper-context-resolver","https://github.com/lllllllama/ai-paper-reproduction-skill",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":226,"workflow":241},1778692586692.9114,"kn756xqp8tzpr6hvbtfne41kvs86n7rp","en",{"checks":20,"evaluatedAt":196,"extensionSummary":197,"features":198,"nonGoals":203,"promptVersionExtension":208,"promptVersionScoring":209,"purpose":210,"rationale":211,"score":212,"summary":213,"tags":214,"targetMarket":220,"tier":221,"useCases":222},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,99,103,107,110,113,116,120,123,126,129,132,135,138,142,146,150,153,157,160,163,166,169,173,176,180,183,186,189,193],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly states the problem of resolving reproduction-critical gaps in AI research, specifically detailing when and when not to use the skill.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers a unique value proposition by providing targeted resolution of specific paper details to unblock reproduction when a narrow gap exists, going beyond general paper summary or README guidance.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill appears to be production-ready, as it is designed to supplement an existing reproduction workflow and has documented inputs and outputs.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill has a single, narrow responsibility focused on resolving specific details from primary paper sources to supplement AI repo reproduction efforts.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately reflects the skill's purpose, scope, and limitations as detailed in the SKILL.md and README.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This is a prompt-based skill and does not expose tools in the traditional sense.",{"category":45,"check":46,"severity":42,"summary":47},"Documentation","Configuration & parameter reference","The skill does not appear to have configurable parameters beyond its core function.",{"category":33,"check":49,"severity":24,"summary":50},"Tool naming","The skill name 'paper-context-resolver' is descriptive and aligns with its function.",{"category":33,"check":52,"severity":24,"summary":53},"Minimal I/O surface","The skill's expected inputs and outputs are clearly defined and appear minimal for its stated purpose.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The repository includes an MIT license file, which is a permissive open-source license.",{"category":59,"check":60,"severity":24,"summary":61},"Maintenance","Commit recency","The repository has recent commits, with the latest push on 2026-05-09, indicating active maintenance.",{"category":59,"check":63,"severity":42,"summary":64},"Dependency Management","The skill does not appear to have third-party dependencies that require explicit management beyond Python scripts.",{"category":66,"check":67,"severity":42,"summary":68},"Security","Secret Management","The skill does not handle secrets.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill focuses on processing provided information and does not appear to load or execute external, untrusted code or data.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill operates on provided metadata and does not fetch external content at runtime.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","The skill's function is information retrieval and processing, not file system modification outside of its intended scope.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","No detached processes or retry loops around denied calls are evident in the skill's description.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill's purpose is to resolve paper details and does not involve reading or submitting confidential data.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled content appears free of hidden-steering tricks; descriptions are clean printable ASCII.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The skill's logic is described in plain text and does not involve obfuscated code or runtime script fetching.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill makes no structural assumptions about the user's project layout beyond needing a README or paper link.",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","There are 0 open and 0 closed issues in the last 90 days, indicating low recent activity but no unaddressed issues.",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","The repository has a CHANGELOG.md, indicating versioning practices are in place.",{"category":104,"check":105,"severity":42,"summary":106},"Code Execution","Validation","The skill's primary function is prompt-based information processing, not direct execution of arbitrary inputs requiring schema validation.",{"category":66,"check":108,"severity":24,"summary":109},"Unguarded Destructive Operations","The skill is read-only and does not perform any destructive operations.",{"category":104,"check":111,"severity":24,"summary":112},"Error Handling","The skill's description implies clear reporting of findings and conflicts, suggesting structured error handling.",{"category":104,"check":114,"severity":42,"summary":115},"Logging","As a prompt-based skill focused on information retrieval, explicit local audit logging is not applicable.",{"category":117,"check":118,"severity":42,"summary":119},"Compliance","GDPR","The skill does not operate on personal data; it resolves information from papers and repositories.",{"category":117,"check":121,"severity":24,"summary":122},"Target market","The skill is described as a general helper for AI research reproduction and has no regional restrictions, hence 'global'.",{"category":92,"check":124,"severity":24,"summary":125},"Runtime stability","The skill is described as a prompt-based helper, implying compatibility with standard Claude environments.",{"category":45,"check":127,"severity":24,"summary":128},"README","The README file provides comprehensive information about the repository, its skills, and installation instructions.",{"category":33,"check":130,"severity":42,"summary":131},"Tool surface size","This is a single-purpose skill, not a collection of multiple tools.",{"category":40,"check":133,"severity":42,"summary":134},"Overlapping near-synonym tools","As a single skill, there are no overlapping tools.",{"category":45,"check":136,"severity":24,"summary":137},"Phantom features","All advertised capabilities in the description and SKILL.md appear to be implemented or directly supported by the described function.",{"category":139,"check":140,"severity":24,"summary":141},"Install","Installation instruction","The README provides clear installation instructions using `npx skills add` and `python scripts/install_skills.py`.",{"category":143,"check":144,"severity":24,"summary":145},"Errors","Actionable error messages","The skill's description implies clear reporting of findings and conflicts, suggesting actionable error messages will be provided.",{"category":147,"check":148,"severity":42,"summary":149},"Execution","Pinned dependencies","No explicit third-party script dependencies are declared or required beyond standard Python interpreters.",{"category":33,"check":151,"severity":42,"summary":152},"Dry-run preview","This skill is purely analytical and does not perform any state-changing operations.",{"category":154,"check":155,"severity":42,"summary":156},"Protocol","Idempotent retry & timeouts","The skill does not involve remote calls or state-changing operations that would require idempotency or timeouts.",{"category":117,"check":158,"severity":42,"summary":159},"Telemetry opt-in","There is no indication of telemetry being emitted by this skill.",{"category":40,"check":161,"severity":24,"summary":162},"Precise Purpose","The skill's purpose is precisely defined, stating what it does (resolve specific paper details) and when to use it (narrow reproduction-critical gap), with clear boundaries.",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","The SKILL.md frontmatter is concise and effectively summarizes the core capability and trigger conditions.",{"category":45,"check":167,"severity":24,"summary":168},"Concise Body","The SKILL.md body is concise, outlining the purpose, usage, and boundaries, deferring detailed references.",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","The SKILL.md references `references/paper-assisted-reproduction.md` for more detailed guidance, demonstrating progressive disclosure.",{"category":170,"check":174,"severity":42,"summary":175},"Forked exploration","This skill is not an exploration or audit-style skill; it is a narrow helper for information retrieval.",{"category":22,"check":177,"severity":178,"summary":179},"Usage examples","info","While the skill's purpose and inputs/outputs are clear, explicit end-to-end usage examples showing invocation and outcome are not present in the SKILL.md or README.",{"category":22,"check":181,"severity":24,"summary":182},"Edge cases","The skill's description explicitly lists 'When not to apply' scenarios and 'Clear boundaries', addressing potential edge cases and limitations.",{"category":104,"check":184,"severity":42,"summary":185},"Tool Fallback","This skill does not rely on external tools like MCP servers and therefore does not require fallbacks.",{"category":92,"check":187,"severity":24,"summary":188},"Stack assumptions","The skill is described as a helper, implying compatibility with the standard Claude Code runtime, and does not bundle scripts with specific stack assumptions.",{"category":190,"check":191,"severity":24,"summary":192},"Safety","Halt on unexpected state","The 'Clear boundaries' and 'When not to apply' sections imply that the skill will not proceed if pre-conditions are not met or if used outside its scope.",{"category":92,"check":194,"severity":24,"summary":195},"Cross-skill coupling","The skill is described as a helper, explicitly stating it should be orchestrator-invoked, implying it is designed to work standalone or be integrated deliberately.",1778692586585,"This skill resolves specific, critical details from primary paper sources (like dataset splits or evaluation protocols) to unblock AI repository reproduction when the README or repository files are ambiguous. It acts as a focused information supplement, not a general paper summarizer.",[199,200,201,202],"Resolves reproduction-critical paper details","Targets dataset splits, preprocessing, evaluation protocols, and runtime assumptions","Records conflicts between README and primary paper sources","Supplements README-first reproduction efforts",[204,205,206,207],"General paper summary or explanation","Repository scanning or environment setup","Command execution or replacing README guidance by default","Overriding README instructions without documenting the conflict","3.0.0","4.4.0","To provide narrow, targeted assistance in resolving specific details from primary paper sources that are critical for reproducing AI research repositories, especially when a gap exists between the README and the paper.","The skill is well-documented, has a clear and focused purpose, and demonstrates good maintenance practices. The only minor finding is the lack of explicit usage examples.",95,"A well-defined and documented helper skill for resolving specific reproduction gaps in AI research papers.",[215,216,217,218,219],"ai","research","reproduction","documentation","paper","global","verified",[223,224,225],"Use when the README and repository files leave a narrow, reproduction-critical gap concerning specific paper details.","Use when the main skill needs a narrow evidence supplement to resolve a concrete reproduction question.","Use to identify and record conflicts between README instructions and primary paper source details.",{"codeQuality":227,"collectedAt":229,"documentation":230,"maintenance":233,"security":238,"testCoverage":240},{"hasLockfile":228},false,1778692567644,{"descriptionLength":231,"readmeSize":232},517,22701,{"closedIssues90d":8,"forks":234,"hasChangelog":235,"openIssues90d":8,"pushedAt":236,"stars":237},4,true,1778347974000,75,{"hasNpmPackage":228,"license":239,"smitheryVerified":228},"MIT",{"hasCi":235,"hasTests":235},{"updatedAt":242},1778692586693,{"basePath":244,"githubOwner":245,"githubRepo":246,"locale":18,"slug":13,"type":247},"skills/paper-context-resolver","lllllllama","ai-paper-reproduction-skill","skill",null,{"evaluate":250,"extract":252},{"promptVersionExtension":208,"promptVersionScoring":209,"score":212,"tags":251,"targetMarket":220,"tier":221},[215,216,217,218,219],{"commitSha":253},"HEAD",{"repoId":255},"kd7629v5mqesxwwe9w7qtfgp7d86n6re",{"_creationTime":257,"_id":255,"identity":258,"providers":259,"workflow":492},1778692391648.3123,{"githubOwner":245,"githubRepo":246,"sourceUrl":14},{"classify":260,"discover":486,"github":489},{"commitSha":253,"extensions":261},[262,339,369,381,401,414,427,440,447,461,474],{"basePath":263,"description":264,"displayName":265,"installMethods":266,"rationale":267,"selectedPaths":268,"source":338,"sourceLanguage":18,"type":247},"skills/ai-research-explore","Explore-lane end-to-end orchestrator for the third research scenario: the researcher has already chosen the task family, dataset, benchmark, evaluation method, and provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-only or run-only exploration, passive repo analysis, or implicit experimentation.","ai-research-explore",{"claudeCode":12},"SKILL.md frontmatter at skills/ai-research-explore/SKILL.md",[269,272,275,277,279,281,283,285,288,290,292,294,296,298,300,302,304,306,308,310,312,314,316,318,320,322,324,326,328,330,332,334,336],{"path":270,"priority":271},"SKILL.md","mandatory",{"path":273,"priority":274},"references/ai-research-explore-policy.md","medium",{"path":276,"priority":274},"references/idea-evaluation-framework.md",{"path":278,"priority":274},"references/research-campaign-spec.md",{"path":280,"priority":274},"references/smoke-validation-policy.md",{"path":282,"priority":274},"references/source-mapping-policy.md",{"path":284,"priority":274},"references/sources-naming-policy.md",{"path":286,"priority":287},"scripts/lookup/__init__.py","low",{"path":289,"priority":287},"scripts/lookup/cache_store.py",{"path":291,"priority":287},"scripts/lookup/inventory_writer.py",{"path":293,"priority":287},"scripts/lookup/normalizers.py",{"path":295,"priority":287},"scripts/lookup/providers/__init__.py",{"path":297,"priority":287},"scripts/lookup/providers/arxiv_provider.py",{"path":299,"priority":287},"scripts/lookup/providers/base.py",{"path":301,"priority":287},"scripts/lookup/providers/doi_provider.py",{"path":303,"priority":287},"scripts/lookup/providers/github_provider.py",{"path":305,"priority":287},"scripts/lookup/providers/optional_provider.py",{"path":307,"priority":287},"scripts/lookup/providers/url_provider.py",{"path":309,"priority":287},"scripts/lookup/record_schema.py",{"path":311,"priority":287},"scripts/lookup/repo_extractors.py",{"path":313,"priority":287},"scripts/lookup/source_support.py",{"path":315,"priority":287},"scripts/orchestrate_explore.py",{"path":317,"priority":287},"scripts/passes/__init__.py",{"path":319,"priority":287},"scripts/passes/atomic_idea_decomposition.py",{"path":321,"priority":287},"scripts/passes/candidate_idea_generation.py",{"path":323,"priority":287},"scripts/passes/execution_feasibility.py",{"path":325,"priority":287},"scripts/passes/idea_cards.py",{"path":327,"priority":287},"scripts/passes/idea_ranking.py",{"path":329,"priority":287},"scripts/passes/implementation_fidelity.py",{"path":331,"priority":287},"scripts/passes/improvement_bank.py",{"path":333,"priority":287},"scripts/passes/lookup_sources.py",{"path":335,"priority":287},"scripts/passes/source_mapping.py",{"path":337,"priority":287},"scripts/write_outputs.py","rule",{"basePath":340,"description":341,"displayName":342,"installMethods":343,"rationale":344,"selectedPaths":345,"source":338,"sourceLanguage":18,"type":247},"skills/ai-research-reproduction","Main orchestrator for README-first AI repo reproduction. Use when the user wants an end-to-end, minimal-trustworthy reproduction flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, silent protocol changes, or broad research assistance outside repository-grounded reproduction.","ai-research-reproduction",{"claudeCode":12},"SKILL.md frontmatter at skills/ai-research-reproduction/SKILL.md",[346,347,349,351,353,355,357,359,361,363,365,367],{"path":270,"priority":271},{"path":348,"priority":287},"assets/COMMANDS.template.md",{"path":350,"priority":287},"assets/LOG.template.md",{"path":352,"priority":287},"assets/PATCHES.template.md",{"path":354,"priority":287},"assets/SUMMARY.template.md",{"path":356,"priority":287},"assets/status.template.json",{"path":358,"priority":274},"references/architecture.md",{"path":360,"priority":274},"references/language-policy.md",{"path":362,"priority":274},"references/output-spec.md",{"path":364,"priority":274},"references/patch-policy.md",{"path":366,"priority":274},"references/research-safety-principles.md",{"path":368,"priority":287},"scripts/orchestrate_repro.py",{"basePath":370,"description":371,"displayName":372,"installMethods":373,"rationale":374,"selectedPaths":375,"source":338,"sourceLanguage":18,"type":247},"skills/analyze-project","Trusted-lane analysis skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model structure and training or inference entrypoints, review configs and insertion points, or flag suspicious implementation patterns without modifying code or running heavy jobs. Do not use for active command execution, broad refactoring, speculative code adaptation, or automatic bug fixing.","analyze-project",{"claudeCode":12},"SKILL.md frontmatter at skills/analyze-project/SKILL.md",[376,377,379],{"path":270,"priority":271},{"path":378,"priority":274},"references/analysis-policy.md",{"path":380,"priority":287},"scripts/analyze_project.py",{"basePath":382,"description":383,"displayName":384,"installMethods":385,"rationale":386,"selectedPaths":387,"source":338,"sourceLanguage":18,"type":247},"skills/env-and-assets-bootstrap","Environment and assets sub-skill for README-first AI repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.","env-and-assets-bootstrap",{"claudeCode":12},"SKILL.md frontmatter at skills/env-and-assets-bootstrap/SKILL.md",[388,389,391,393,395,397,399],{"path":270,"priority":271},{"path":390,"priority":274},"references/assets-policy.md",{"path":392,"priority":274},"references/env-policy.md",{"path":394,"priority":287},"scripts/bootstrap_env.py",{"path":396,"priority":287},"scripts/bootstrap_env.sh",{"path":398,"priority":287},"scripts/plan_setup.py",{"path":400,"priority":287},"scripts/prepare_assets.py",{"basePath":402,"description":403,"displayName":404,"installMethods":405,"rationale":406,"selectedPaths":407,"source":338,"sourceLanguage":18,"type":247},"skills/explore-code","Explore-lane code adaptation skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together low-risk migration ideas with summary-only records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, or default repository analysis.","explore-code",{"claudeCode":12},"SKILL.md frontmatter at skills/explore-code/SKILL.md",[408,409,411,413],{"path":270,"priority":271},{"path":410,"priority":274},"references/explore-policy.md",{"path":412,"priority":287},"scripts/plan_code_changes.py",{"path":337,"priority":287},{"basePath":415,"description":416,"displayName":417,"installMethods":418,"rationale":419,"selectedPaths":420,"source":338,"sourceLanguage":18,"type":247},"skills/explore-run","Explore-lane experimental execution skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with results summarized in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline execution, conservative training verification, default routing, or implicit experimentation.","explore-run",{"claudeCode":12},"SKILL.md frontmatter at skills/explore-run/SKILL.md",[421,422,424,426],{"path":270,"priority":271},{"path":423,"priority":274},"references/execution-policy.md",{"path":425,"priority":287},"scripts/plan_variants.py",{"path":337,"priority":287},{"basePath":428,"description":429,"displayName":430,"installMethods":431,"rationale":432,"selectedPaths":433,"source":338,"sourceLanguage":18,"type":247},"skills/minimal-run-and-audit","Trusted-lane execution and reporting skill for README-first AI repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, or end-to-end orchestration by itself.","minimal-run-and-audit",{"claudeCode":12},"SKILL.md frontmatter at skills/minimal-run-and-audit/SKILL.md",[434,435,437,439],{"path":270,"priority":271},{"path":436,"priority":274},"references/reporting-policy.md",{"path":438,"priority":287},"scripts/run_command.py",{"path":337,"priority":287},{"basePath":244,"description":10,"displayName":13,"installMethods":441,"rationale":442,"selectedPaths":443,"source":338,"sourceLanguage":18,"type":247},{"claudeCode":12},"SKILL.md frontmatter at skills/paper-context-resolver/SKILL.md",[444,445],{"path":270,"priority":271},{"path":446,"priority":274},"references/paper-assisted-reproduction.md",{"basePath":448,"description":449,"displayName":450,"installMethods":451,"rationale":452,"selectedPaths":453,"source":338,"sourceLanguage":18,"type":247},"skills/repo-intake-and-plan","Narrow helper skill for README-first AI repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.","repo-intake-and-plan",{"claudeCode":12},"SKILL.md frontmatter at skills/repo-intake-and-plan/SKILL.md",[454,455,457,459],{"path":270,"priority":271},{"path":456,"priority":274},"references/repo-scan-rules.md",{"path":458,"priority":287},"scripts/extract_commands.py",{"path":460,"priority":287},"scripts/scan_repo.py",{"basePath":462,"description":463,"displayName":464,"installMethods":465,"rationale":466,"selectedPaths":467,"source":338,"sourceLanguage":18,"type":247},"skills/run-train","Trusted-lane training execution skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with status, checkpoint, and metric capture written to standardized `train_outputs/`. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.","run-train",{"claudeCode":12},"SKILL.md frontmatter at skills/run-train/SKILL.md",[468,469,471,473],{"path":270,"priority":271},{"path":470,"priority":274},"references/training-policy.md",{"path":472,"priority":287},"scripts/run_training.py",{"path":337,"priority":287},{"basePath":475,"description":476,"displayName":477,"installMethods":478,"rationale":479,"selectedPaths":480,"source":338,"sourceLanguage":18,"type":247},"skills/safe-debug","Trusted-lane debug skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.","safe-debug",{"claudeCode":12},"SKILL.md frontmatter at skills/safe-debug/SKILL.md",[481,482,484],{"path":270,"priority":271},{"path":483,"priority":274},"references/debug-policy.md",{"path":485,"priority":287},"scripts/safe_debug.py",{"sources":487},[488],"manual",{"closedIssues90d":8,"description":490,"forks":234,"license":239,"openIssues90d":8,"pushedAt":236,"readmeSize":232,"stars":237,"topics":491},"",[],{"classifiedAt":493,"discoverAt":494,"extractAt":495,"githubAt":495,"updatedAt":493},1778692395631,1778692391648,1778692393876,[215,218,219,217,216],{"evaluatedAt":242,"extractAt":498,"updatedAt":499},1778692396032,1778692750509,[],[502,531,562,590,613,643],{"_creationTime":503,"_id":504,"community":505,"display":506,"identity":512,"providers":516,"relations":524,"tags":527,"workflow":528},1778699234184.6135,"k175frmf44tn80mcd6gvw1c1th86ngq9",{"reviewCount":8},{"description":507,"installMethods":508,"name":510,"sourceUrl":511},"Invoke parallel document-specialist agents for external web searches and documentation lookup",{"claudeCode":509},"Yeachan-Heo/oh-my-claudecode","external-context","https://github.com/Yeachan-Heo/oh-my-claudecode",{"basePath":513,"githubOwner":514,"githubRepo":515,"locale":18,"slug":510,"type":247},"skills/external-context","Yeachan-Heo","oh-my-claudecode",{"evaluate":517,"extract":523},{"promptVersionExtension":208,"promptVersionScoring":209,"score":518,"tags":519,"targetMarket":220,"tier":221},100,[520,218,216,521,522],"search","information-retrieval","multi-agent",{"commitSha":253},{"parentExtensionId":525,"repoId":526},"k17brg5egdw1jbncj1j4wfv3fh86n639","kd74zv63fryf9prygtq7gf4es986n22y",[218,521,522,216,520],{"evaluatedAt":529,"extractAt":530,"updatedAt":529},1778699449790,1778699234184,{"_creationTime":532,"_id":533,"community":534,"display":535,"identity":541,"providers":546,"relations":555,"tags":558,"workflow":559},1778696691708.3274,"k170az7r02e9e2v47mpy80kx6n86nff3",{"reviewCount":8},{"description":536,"installMethods":537,"name":539,"sourceUrl":540},"Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy",{"claudeCode":538},"ruvnet/ruflo","Trader Regime","https://github.com/ruvnet/ruflo",{"basePath":542,"githubOwner":543,"githubRepo":544,"locale":18,"slug":545,"type":247},"plugins/ruflo-neural-trader/skills/trader-regime","ruvnet","ruflo","trader-regime",{"evaluate":547,"extract":554},{"promptVersionExtension":208,"promptVersionScoring":209,"score":518,"tags":548,"targetMarket":220,"tier":221},[549,550,551,215,552,553],"finance","trading","market-analysis","typescript","cli",{"commitSha":253,"license":239},{"parentExtensionId":556,"repoId":557},"k17drge8h1fgzchr0p4jaeg33n86mwmy","kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[215,553,549,551,550,552],{"evaluatedAt":560,"extractAt":561,"updatedAt":560},1778701108877,1778696691708,{"_creationTime":563,"_id":564,"community":565,"display":566,"identity":572,"providers":576,"relations":582,"tags":585,"workflow":586},1778693539593.1863,"k173a67a16bpq0e29wjd85v71986nx03",{"reviewCount":8},{"description":567,"installMethods":568,"name":570,"sourceUrl":571},"Domain knowledge for AI trading memory — Outcome-Weighted Memory (OWM) architecture, 5 memory types, recall scoring, and behavioral analysis. Use when recording trades, recalling similar contexts, analyzing performance, or checking behavioral drift. Triggers on \"record trade\", \"remember trade\", \"recall\", \"similar trades\", \"performance\", \"behavioral\", \"disposition\", \"affective state\", \"confidence\".",{"claudeCode":569},"mnemox-ai/tradememory-protocol","trading-memory","https://github.com/mnemox-ai/tradememory-protocol",{"basePath":573,"githubOwner":574,"githubRepo":575,"locale":18,"slug":570,"type":247},"tradememory-plugin/skills/trading-memory","mnemox-ai","tradememory-protocol",{"evaluate":577,"extract":581},{"promptVersionExtension":208,"promptVersionScoring":209,"score":518,"tags":578,"targetMarket":220,"tier":221},[550,215,579,549,580],"memory","python",{"commitSha":253},{"parentExtensionId":583,"repoId":584},"k170vxkqee48k2xq1v55a025nh86nzn7","kd73z11kfekksxyrs8ds0snacs86ncdy",[215,549,579,580,550],{"evaluatedAt":587,"extractAt":588,"updatedAt":589},1778693719816,1778693539593,1778693833320,{"_creationTime":591,"_id":592,"community":593,"display":594,"identity":598,"providers":601,"relations":608,"tags":609,"workflow":610},1778693539593.1858,"k171p5pgbfbm5g4k5sa3y4cj9s86m6hk",{"reviewCount":8},{"description":595,"installMethods":596,"name":597,"sourceUrl":571},"Domain knowledge for the Evolution Engine — LLM-powered autonomous strategy discovery from raw OHLCV data. Covers the generate-backtest-select-evolve loop, vectorized backtesting, out-of-sample validation, and strategy graduation. Use when discovering trading patterns, running backtests, evolving strategies, or reviewing evolution logs. Triggers on \"evolve\", \"discover patterns\", \"backtest\", \"evolution\", \"strategy generation\", \"candidate strategy\".",{"claudeCode":569},"TradeMemory Protocol",{"basePath":599,"githubOwner":574,"githubRepo":575,"locale":18,"slug":600,"type":247},"tradememory-plugin/skills/evolution-engine","evolution-engine",{"evaluate":602,"extract":607},{"promptVersionExtension":208,"promptVersionScoring":209,"score":518,"tags":603,"targetMarket":220,"tier":221},[550,215,579,604,605,606],"audit","compliance","llm",{"commitSha":253,"license":239},{"parentExtensionId":583,"repoId":584},[215,604,605,606,579,550],{"evaluatedAt":611,"extractAt":588,"updatedAt":612},1778693678813,1778693832942,{"_creationTime":614,"_id":615,"community":616,"display":617,"identity":623,"providers":628,"relations":636,"tags":639,"workflow":640},1778691104676.0042,"k17c25w174y6873nhdh566etts86mv7m",{"reviewCount":8},{"description":618,"installMethods":619,"name":621,"sourceUrl":622},"Transform images with resize, crop, smart crop, upscale, remove background, and 20+ operations.",{"claudeCode":620},"iterationlayer/skills","Image Transformation API","https://github.com/iterationlayer/skills",{"basePath":624,"githubOwner":625,"githubRepo":626,"locale":18,"slug":627,"type":247},"skills/image-transformation-api","iterationlayer","skills","image-transformation-api",{"evaluate":629,"extract":635},{"promptVersionExtension":208,"promptVersionScoring":209,"score":518,"tags":630,"targetMarket":220,"tier":221},[631,632,633,634,215],"image","transformation","editing","api",{"commitSha":253,"license":239},{"parentExtensionId":637,"repoId":638},"k1721s0xmp59902ybtpakrrffn86n10s","kd76p4g2qmtrkgx99cnab3683d86n4g8",[215,634,633,631,632],{"evaluatedAt":641,"extractAt":642,"updatedAt":641},1778693613399,1778691104676,{"_creationTime":644,"_id":645,"community":646,"display":647,"identity":653,"providers":657,"relations":665,"tags":668,"workflow":669},1778693180473.0972,"k1716aj3p8agwq6vwvn5n19v8n86mps9",{"reviewCount":8},{"description":648,"installMethods":649,"name":651,"sourceUrl":652},"Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. Triggers: \"Document Intelligence\", \"DocumentIntelligenceClient\", \"form recognizer\", \"invoice extraction\", \"receipt OCR\", \"document analysis .NET\".\n",{"claudeCode":650},"microsoft/agent-skills","azure-ai-document-intelligence-dotnet","https://github.com/microsoft/agent-skills",{"basePath":654,"githubOwner":655,"githubRepo":656,"locale":18,"slug":651,"type":247},".github/plugins/azure-sdk-dotnet/skills/azure-ai-document-intelligence-dotnet","microsoft","agent-skills",{"evaluate":658,"extract":664},{"promptVersionExtension":208,"promptVersionScoring":209,"score":518,"tags":659,"targetMarket":220,"tier":221},[660,215,661,662,663],"azure","document-intelligence","dotnet","sdk",{"commitSha":253},{"parentExtensionId":666,"repoId":667},"k1795g6t3v2fg9whacs7xkm88186nxr1","kd77czgnv00rfjm815pcc5xx5986n5t8",[215,660,661,662,663],{"evaluatedAt":670,"extractAt":671,"updatedAt":670},1778693591440,1778693180473]