Skill audit report
wiki-knowledge-agent Audit report.
Turn chat-pasted text/links into a verified, translated, searchable wiki knowledge base. When a user pastes a link or text (in ANY channel — Discord, Slack, CLI, etc.), fetch+verify it, classify it (useful vs ad), translate+summarize it into the target language, save it to the wiki, and optionally alert on time-sensitive information. Also acts as a RAG channel: agents search the wiki for prior knowledge. Use whenever the user pastes content for archiving, asks to save a link/bookmark, asks '알림 있어?', 'any alerts?', or asks the agent to look up knowledge saved in the wiki.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
19 GitHub stars
Stars/forks activity
FAIL32
19 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add atukunare/wiki-knowledge-agent --skill wiki-knowledge-agent
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/atukunare/wiki-knowledge-agent/blob/main/SKILL.md
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add atukunare/wiki-knowledge-agent --skill wiki-knowledge-agent
Repository
88
https://github.com/atukunare/wiki-knowledge-agent/blob/main/SKILL.md
License
86
MIT
Maintenance
88
2mo since push
AI review
55
SKILL.md does not explicitly address prompt-injection risks from pasted or fetched content, even though the skill allows the LLM to classify, summarize, and optionally update config.
README/SKILL.md completeness
86
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
32
19 stars, 6 forks; issue activity unavailable in current metadata
Adoption
42
19 GitHub stars
Warnings
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- SKILL.md does not explicitly address prompt-injection risks from pasted or fetched content, even though the skill allows the LLM to classify, summarize, and optionally update config.
- The skill instructs fetching user-supplied URLs but does not define safe URL boundaries, such as blocking private/internal IP ranges or stripping credentials from URLs.
- The excerpted skill directory does not clearly include referenced scripts (scripts/ingest.py, scripts/onboarding.py) and reference files; confirm they are present in the repository or the SKILL.md pointers will be broken.
- SKILL.md lacks a dedicated limitations/safety section describing what the skill will not do, such as refusing instructions embedded in saved content or requiring confirmation before sending notifications.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 19 GitHub stars
- Stars/forks activity: 19 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
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.