Evaluate Agent Framework
技能 已验证 活跃Assess an open-source agent framework for investment readiness by evaluating community health, supersession risk, architecture alignment, and governance sustainability. Produces a four-tier classification (INVEST / EVALUATE-FURTHER / CONTRIBUTE-CAUTIOUSLY / AVOID) to guide resource allocation decisions before committing engineering effort.
To provide a structured, data-driven evaluation of open-source agent frameworks for investment readiness, helping users make informed decisions about adoption, contribution, and resource allocation.
功能
- Quantitative assessment of community health
- Calculation of supersession risk
- Architecture alignment and lock-in risk evaluation
- Governance and sustainability analysis
- Four-tier investment readiness classification
使用场景
- Evaluating agent frameworks for production adoption
- Assessing dependency risk on external frameworks
- Deciding on engineering effort for framework contributions
- Comparing competing agent frameworks
非目标
- Performing deep code reviews of framework internals
- Providing financial investment advice
- Evaluating closed-source or proprietary frameworks
工作流
- Step 1: Gather Framework Census
- Step 2: Assess Community Health
- Step 3: Calculate Supersession Risk
- Step 4: Evaluate Architecture Alignment
- Step 5: Assess Governance and Sustainability
- Step 6: Classify Investment Readiness
实践
- Framework Evaluation
- Risk Assessment
- Community Health Analysis
- Investment Readiness
先决条件
- GitHub PAT with appropriate scopes for API access
- GitHub CLI (`gh`) installed and authenticated
- Standard POSIX command-line tools (Bash, grep, jq, curl, etc.)
安装
/plugin install agent-almanac@pjt222-agent-almanac质量评分
已验证类似扩展
Oss Contribution
99当用户处理开源贡献、响应维护者反馈、撰写 PR 描述、处理 issue、跟进过期的 PR 或需要有关开源礼仪和最佳实践的指导时，应使用此技能。
Researchers Tech
99Researches project histories, changelogs, developer interviews, and open source documentation. Use when the album subject involves technology projects or developer stories.
Identify Assumptions Existing
99Identify risky assumptions for a feature idea in an existing product across Value, Usability, Viability, and Feasibility. Uses multi-perspective devil's advocate thinking. Use when stress-testing a feature idea, doing risk assessment, or preparing for assumption mapping.
PM Devil's Advocate
99Structured challenge of product decisions with pre-mortem and counter-arguments. Use when someone says "challenge this", "devil's advocate", "poke holes", "stress test", "pre-mortem", "what could go wrong", "am I missing something", "sanity check this decision".
Recommendation Canvas
99Evaluate an AI product idea across outcomes, hypotheses, risks, and positioning. Use when deciding whether an AI solution deserves investment or recommendation.
Chroma
98Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.