Alphagbm News Impact
Separate reported claims from impact inferences, with related assets and next checkpoints.
Install
npx skills add AlphaGBM/skills --skill alphagbm-news-impact -g -a claude-code -y- Repository
- AlphaGBM/skills2.8k
- Category
- Engineering
- Updated
- 29d ago
- License
- MIT
- Context cost
- Lightabout 649 tokens
- Runs scripts
- Yes, review before use
What it does
Separate reported claims from impact inferences, with related assets and next checkpoints. Use when the user asks to news impact with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
News Impact
Separate reported claims from impact inferences, with related assets and next checkpoints.
Release preview: the matching backend has not been verified in production. Do not claim this structured workflow is live; unsupported servers must fail closed. Retained legacy runner commands remain compatible.
Before running
Read access and evidence rules. Python 3.9+ is the only runtime dependency; no separate CLI or sibling Skill installation is required. Resolve <skill-dir> to the directory containing this file.
Read references/news-impact.md. First list published news with research --collection news --view news --lang en --limit 5 (or zh), then select the returned slug and revision. Replace the angle-bracket placeholders before running; never execute them literally. Separate reported claims, editorial inferences and verification gaps. This is not independent verification of an arbitrary web claim. The news-impact.v1 backend must be deployed; report unavailable without inventing an answer when unsupported. Read references/editorial-routing.md before selecting the next command. Check the returned workflow, language and published revision. A type mismatch needs the declared workflow, not a retry; a changed revision must be re-read. Never silently switch to paid analysis.
Run
python3 "<skill-dir>/scripts/run.py" news --slug <published-news-slug> --revision <published-revision> --lang en
This command reads published data without a key or analysis-credit charge. No paid research is triggered.
