Daily News Caster
Skill AvisoFetches the latest news using news-aggregator-skill, formats it into a podcast script in Markdown format, and uses the tts skill to generate a podcast audio file. Use when the user asks to get the latest news and read it out as a podcast.
This skill orchestrates the `news-aggregator-skill` and `tts` skills to fetch news, format it into a dual-host podcast script in Markdown, and then generate an audio file using TTS. It writes the script and final audio to the current directory.
Documentation
- warning:Configuration & parameter referenceWhile the workflow is described, the specific parameters for `fetch_news.py` (like `--source`, `--limit`, `--deep`) and `tts.py` (like `--ref-audio`, voice options) are only shown in example commands without a separate parameter reference section or explicit default values.
License
- critical:License usabilityNo license file or SPDX identifier is present in the repository, making the usability of the extension unclear and blocking redistribution.
Maintenance
- warning:Dependency ManagementThe skill lists binary dependencies like `python3` and `ffmpeg` and skill dependencies like `news-aggregator-skill` and `tts`, but there are no explicit measures mentioned for updating or managing these dependencies for vulnerabilities or versions.
Versioning
- critical:Release ManagementThere is no version information (e.g., in SKILL.md frontmatter, package.json, or CHANGELOG) and the installation instructions do not reference a specific version, making it impossible to pin or track releases.
Code Execution
- warning:ValidationThe skill relies on the subprocess scripts (`fetch_news.py`, `tts.py`) for validation. While example commands show argument usage, there's no explicit mention of schema validation libraries or sanitization within the `daily-news-caster` skill's instructions themselves for these arguments.
- warning:Error HandlingThe skill instructs the user to inform the user if dependency skills are missing but does not detail how errors from `fetch_news.py` or `tts.py` are handled, caught, or reported back to the agent, leaving potential for opaque errors.
- warning:LoggingThe skill's instructions do not mention any local audit file or logging mechanism for its operations, such as the news fetching or script generation steps, nor for errors.
- warning:Tool FallbackThe skill requires `news-aggregator-skill` and `tts` to be present and does not explicitly state what happens if they are missing beyond informing the user, nor does it declare required versions or offer built-in fallbacks for these core dependencies.
Portability
- warning:Runtime stabilityThe skill assumes the presence of specific scripts (`fetch_news.py`, `tts.py`) and external binaries (`python3`, `ffmpeg`) which might not be universally available or configured on all systems, and does not explicitly detail fallback mechanisms if these are missing beyond informing the user.
- warning:Stack assumptionsThe skill declares `python3` and `ffmpeg` as binary dependencies but does not specify minimum required versions or explicitly state the assumed runtime environment (e.g., POSIX shell) beyond that.
Practical Utility
- warning:Usage examplesExample commands for `fetch_news.py` and `tts.py` are provided within the SKILL.md, but they are not presented as end-to-end examples demonstrating the full workflow's observable outcome with a sample script and final audio output.
- warning:Edge casesThe skill mentions checking for missing dependency skills but does not comprehensively document other potential failure modes (e.g., network errors during news fetching, TTS API errors, invalid script output) or provide specific recovery steps for them.
Safety
- warning:Halt on unexpected stateThe skill only instructs to inform the user if dependency skills are missing. It does not specify a machine-readable checklist for other pre-conditions or mandate halting and reporting on unexpected states before proceeding with script execution.
Instalação
npx skills add noizai/skillsExecuta a CLI skills da Vercel (skills.sh) via npx — requer Node.js localmente e pelo menos um agente compatível com skills instalado (Claude Code, Cursor, Codex, …). Pressupõe que o repositório siga o formato agentskills.io.
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