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zhouey314-cloudzhouey314-cloud/ai-agent-skills/skills/content-qa/SKILL.md

content-qa

Skill0 starsChanged 48 days agoMITView on GitHub

Review a draft for evidence, privacy, tone and release risks without silently rewriting disputed statements.

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use before publishing a claim-heavy article, landing page, FAQ or generated answer.

    line 14
  2. Distinctive:

    Check personally identifying information, confidential material, links and channel rules.

    line 28
  3. Very specific:

    If sources are incomplete, report UNKNOWN_SUPPORT rather than approving.

    line 34
  4. Very specific:

    Run python3 tests/validate.py from the repository root to check this skill's contract and example provenance.

    line 42

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Content QA

Purpose

Produce an actionable release gate for draft content.

When to Use

Use before publishing a claim-heavy article, landing page, FAQ or generated answer.

Inputs

draft, source_docs[], style_rules[], forbidden_claims[], optional audience.

Outputs

findings: [{severity,excerpt,reason,source_id,fix}], release_state, required_review[].

Workflow

  1. Extract all quantitative, comparative, customer and compliance claims.
  2. Trace each claim to the provided source and flag mismatches or missing citations.
  3. Check personally identifying information, confidential material, links and channel rules.
  4. Score findings as critical, major or minor with exact excerpt and proposed fix.
  5. Set release_state=BLOCKED on unresolved critical findings; do not publish.

Failure Handling

If sources are incomplete, report UNKNOWN_SUPPORT rather than approving. Disputed language is flagged, never silently softened into apparent approval.

Example

synthetic_unverified: “10,000 customers” without source triggers a critical finding and blocked release.

Tests

Run python3 tests/validate.py from the repository root to check this skill's contract and example provenance. This is a structural test, not model-quality evidence.

Limitations

This is a review aid, not legal clearance, source authenticity verification or human editorial approval.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

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