Agent skill · Code Review & Quality

creator-content-auditor

Use when the user asks to "review this influencer content" or "check if this post meets brand guidelines"; runs the typed STAR pre-publish gate, scores Trust and Appeal on the deliverable, folds in the creator Suitability read, computes the profile-weighted SQS, checks the disclosure/claim/brand-safety and fraud/fake-engagement vetoes, and writes constructive revision feedback. Not for drafting the brief — use brief-generator; not for partnership terms — use contract-helper. 达人内容审核/发布前质检

aaron-he-zhugithub.com/aaron-he-zhuGitHub ↗
claude-codeApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill creator-content-auditor --agent claude-code

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

Facts
Files in the skill folder: 4
SKILL.md size: 10 KB
Bundled scripts: none
Version: 19.1.0
Requires: Claude Code and compatible agent-skill hosts
Path: influencer/activate/creator-content-auditor/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,508
Language: Python
Read our review of the source →

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

From the SKILL.md

# Creator Content Auditor Gate one influencer deliverable (or a tightly defined asset set) with the **STAR** framework and return the profile-weighted **SQS** (Star Quality Score) plus creator-ready feedback. This is the STAR discipline's sole scoring authority: it reads the content directly for **Trust (T)** and **Appeal (A)**, folds in the **Suitability (S)** read from `fit-scorer`, scores **Return (R)** per `assessment_time` (forecast pre-publish), and applies every STAR veto. ## When This Must Trigger - A creator submission needs approval before publication, amplification, or a payment milestone. - The user asks about brand alignment, claim accuracy, disclosure, creative quality, platform specs, or a go/no-go. - A revised asset needs a traceable rerun against the same brief/canon version. ## Quick Start ```text Review this sponsored video and caption against campaign brief v4 for conversion. Run the STAR gate; show claim/disclosure blockers, the SQS, and write the creator revision note. ``` ## Skill Contract **Reads:** one frozen submission; brief/canon version; approved claims/disclosures (substantiation state from `offer-claims-registry`); platform requirements; the `fit-scor

What's inside
Steps it walks through
  1. When This Must Trigger
  2. Quick Start
  3. Skill Contract
  4. Data Sources
  5. Instructions
  6. Runtime Reads
  7. Runtime and Setup
  8. Evidence and Scoring
  9. Creator Feedback
  10. §2 STAR Worked Examples
  11. §3 STAR Guardrails
  12. §5 STAR Translation
  13. Validation Checkpoints
  14. Persistence
Ships with 3 files
  • references/auditor-runtime.md
  • references/quality-review-aids.md
  • references/review-templates.md
More from aaron-marketing-skills
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About this skill
What does the creator-content-auditor skill do?

Use when the user asks to "review this influencer content" or "check if this post meets brand guidelines"; runs the typed STAR pre-publish gate, scores Trust and Appeal on the deliverable, folds in the creator Suitability read, computes the profile-weighted SQS, checks the disclosure/claim/brand-safety and fraud/fake-engagement vetoes, and writes constructive revision feedback. Not for drafting the brief — use brief-generator; not for partnership terms — use contract-helper. 达人内容审核/发布前质检

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill creator-content-auditor --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 aaron-he-zhu/aaron-marketing-skills, a repository with 2,508 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.

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