data-fidelity
Fact-checking and source verification workflow for research documents. Launches parallel fact-checkers, aggregates findings, applies corrections systematically.
npx skills add majiayu000/claude-skill-registry --skill data-fidelity --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Fidelity Activates when research documents need verification, fact-checking, or data updates. ## When to Use - After initial research documents are written (quality gate before publish) - When refreshing documents with current data (market prices, company stats) - When a user says "check for errors", "verify claims", "fact check", "add fidelity" ## Workflow ### Phase 1: Fact-Check Fleet Launch 2-3 parallel fact-checker agents, each covering a different document range: - Agent A: docs 01-12 - Agent B: docs 13-24 - Agent C: forward-looking/speculative docs (if any) ### Phase 2: Aggregate Findings Collect reports. Categorize by severity: - **ERROR** — factually wrong, must fix - **QUESTIONABLE** — might be wrong, needs verification - **INCONSISTENCY** — contradicts another document ### Phase 3: Data Refresh Launch market-researcher agents for current pricing, company data, and industry stats. ### Phase 4: Apply Corrections Systematic edit pass: 1. Fix all ERRORs first 2. Resolve INCONSISTENCYs (pick the correct value, update all occurrences) 3. Update data with fresh market research 4. Flag QUESTIONABLE items that couldn't be resolved ### Phase 5: Rebuild If documents have HTML
- When to Use
- Workflow
- Phase 1: Fact-Check Fleet
- Phase 2: Aggregate Findings
- Phase 3: Data Refresh
- Phase 4: Apply Corrections
- Phase 5: Rebuild
- Quality Standards
bash build.sh
What does the data-fidelity skill do?
Fact-checking and source verification workflow for research documents. Launches parallel fact-checkers, aggregates findings, applies corrections systematically.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill data-fidelity --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.