Alphagbm Report Breakdown
Extract report views, ratings, key assumptions and risks with sources and dates.
Install
npx skills add AlphaGBM/skills --skill alphagbm-report-breakdown -g -a claude-code -y- Repository
- AlphaGBM/skills2.8k
- Category
- Writing
- Updated
- 29d ago
- License
- MIT
- Context cost
- Lightabout 708 tokens
- Runs scripts
- Yes, review before use
What it does
Extract report views, ratings, key assumptions and risks with sources and dates. Use when the user asks to research report breakdown with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
Research Report Breakdown
Extract report views, ratings, key assumptions and risks with sources and dates.
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/report-breakdown.md. Discover original reports with research --collection research --lang en --limit 5 or institutional summaries with research --collection news --view research --lang en --limit 5 (or zh). Select a returned slug and revision and replace the placeholders. Preserve institution, original rating, dates, currency, assumptions and limitations. Original research may include the full published reader; institutional reports return only the published summary, not private PDFs. The report-breakdown.v1 backend must be deployed; an unavailable response is not permission to fabricate a report. 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" report --slug <published-report-slug> --revision <published-revision> --lang en
This command reads published data without a key or analysis-credit charge. No paid research is triggered.
