Skill audit report
Design and operate memory systems for long-running AI agents. Covers context window optimization, summarization strategies, vector-based retrieval, episodic memory, memory consolidation, and garbage collection for production agent systems.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
471 GitHub stars
Stars/forks activity
INFO62
471 stars, 62 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
23d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
credential or environment access, database surface
Install availability
PASS92
npx skills add cosmicstack-labs/mercury-agent-skills --skill memory-management
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
secrets or environment access, database access
Repository evidence
PASS86
https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/ai-ml/memory-management
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add cosmicstack-labs/mercury-agent-skills --skill memory-management
Repository
88
https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/ai-ml/memory-management
License
86
MIT
Maintenance
100
23d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
64
credential or environment access, database surface
Install command safety
92
standard package or runtime install path
Permission surface
62
secrets or environment access, database access
Stars/forks activity
62
471 stars, 62 forks; issue activity unavailable in current metadata
Adoption
68
471 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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