Agent skill · Data & Analytics

data-fidelity

Fact-checking and source verification workflow for research documents. Launches parallel fact-checkers, aggregates findings, applies corrections systematically.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill data-fidelity-tibsfox-gsd-skill-creator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/analysis/data-fidelity-tibsfox-gsd-skill-creator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. When to Use
  2. Workflow
  3. Phase 1: Fact-Check Fleet
  4. Phase 2: Aggregate Findings
  5. Phase 3: Data Refresh
  6. Phase 4: Apply Corrections
  7. Phase 5: Rebuild
  8. Quality Standards
Ships with 1 file
  • metadata.json
Commands it runs
bash build.sh
More from claude-skill-registry
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About this skill
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-tibsfox-gsd-skill-creator --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.

Keep going