Skill audit report
Feed last month's real numbers into next month's plan: ingest a platform analytics export (CSV from Instagram Insights, LinkedIn analytics, TikTok Studio, X analytics — any export with a post-id column) into per-post performance records, then rank the month's wins with sample floors and margin rules so ideation compounds measured winners, not remembered ones. Triggers on \"/ingest-performance\", \"here are last month's numbers\", \"import analytics\", \"which posts performed best\", \"engagement report\", \"what worked last month\", or whenever ideate-month needs its wins rung fed. Writes performance.json next to the month's tracker; /socialforge:ideate-month reads it and labels every win measured vs anecdotal.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
38 GitHub stars
Stars/forks activity
WARN43
38 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add indranilbanerjee/socialforge --skill ingest-performance
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/indranilbanerjee/socialforge/tree/main/skills/ingest-performance
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add indranilbanerjee/socialforge --skill ingest-performance
Repository
88
https://github.com/indranilbanerjee/socialforge/tree/main/skills/ingest-performance
License
86
MIT
Maintenance
88
1mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
43
38 stars, 6 forks; issue activity unavailable in current metadata
Adoption
42
38 GitHub stars
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.