Skill audit report
Use when asked to write or refresh a public cross-system synthesis from retained analyse-agentic-system results and their memory-comparison fields. Produces one snapshot-bound analysis; excludes legacy reviews and Commonplace transfer scans.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
88 GitHub stars
Stars/forks activity
WARN48
88 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
1d since push
License clarity
PASS86
CC-BY-4.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add zby/commonplace --skill synthesize-agent-memory-landscape
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/zby/commonplace/tree/main/kb/instructions/synthesize-agent-memory-landscape
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add zby/commonplace --skill synthesize-agent-memory-landscape
Repository
88
https://github.com/zby/commonplace/tree/main/kb/instructions/synthesize-agent-memory-landscape
License
86
CC-BY-4.0
Maintenance
100
1d since push
AI review
55
The SKILL.md excerpt is truncated in the provided documentation, but the full file appears to be present in the repository. No critical issues found.
README/SKILL.md completeness
86
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
48
88 stars, 11 forks; issue activity unavailable in current metadata
Adoption
68
88 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.