Skill audit report
Save, recall, list, and archive concise project decisions and handoffs in an explicit local Codex memory store without hooks or background capture. Use only when the user asks to remember, save context, resume prior work, record a durable decision, create a handoff, list stored project memory, or forget/archive a saved memory.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
91 GitHub stars
Stars/forks activity
WARN48
91 stars, 23 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
10d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add aAAaqwq/AGI-Super-Team --skill project-memory
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN46
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/aAAaqwq/AGI-Super-Team/tree/main/plugins/agi-super-team-codex/skills/project-memory
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add aAAaqwq/AGI-Super-Team --skill project-memory
Repository
88
https://github.com/aAAaqwq/AGI-Super-Team/tree/main/plugins/agi-super-team-codex/skills/project-memory
License
86
MIT
Maintenance
100
10d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
46
secrets or environment access, filesystem or document access
Stars/forks activity
48
91 stars, 23 forks; issue activity unavailable in current metadata
Adoption
68
91 GitHub stars
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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