Creator Content Performance Review
Review creator content performance from supplied analytics. Use when Codex is asked to analyze influencer posts, videos, Reels, Shorts, TikToks, newsletters, podcasts, watch time, retention curves, hooks, titles, thumbnails, audience response, top content, weak content, or next creator content actions.
Install
$ agentstack add skill-jeremylongworth-source-agentskills-creator-content-performance-review ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-jeremylongworth-source-agentskills-creator-content-performance-review) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Creator Content Performance Review
Core Workflow
- Identify content set, platform, date range, source exports, business question,
comparison baseline, and available metrics.
- Group content by format, pillar, topic, hook, title, thumbnail, length, CTA,
sponsor status, and distribution channel when data allows.
- Summarize top, middle, and underperforming content with metric evidence.
- Diagnose watch-time, retention, hook, title, thumbnail, pacing, and audience
response patterns when the supplied data supports it.
- Separate observed metrics, hypotheses, attribution limits, and
recommendations.
- Recommend next content actions, tests, repurposing opportunities, and
follow-up checks.
Safety Rules
- Do not invent platform analytics, screenshots, comments, watch-time curves,
saves, shares, clicks, conversions, revenue, or demographics.
- Do not promise future performance from past content.
- Do not claim algorithmic or causal explanations without evidence.
- Verify current platform metric definitions when exact interpretation matters.
Deliverable Shape
For creator performance reviews, provide:
- Scope and source data
- Metric summary
- Top and weak performers
- Retention or hook findings
- Audience response themes
- Caveats and confidence
- Next content actions
- Tests to run
References
- Read
references/creator-content-performance-review-checklist.mdwhen
reviewing creator content performance.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jeremylongworth-source
- Source: jeremylongworth-source/AgentSkills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.