Skill audit report
I developed a rigorous cybersecurity project portfolio on mock clients covering NIST, audits, Linux, SQL, assets, threats, vulnerabilities, detection, incident response, escalation, Wireshark, tcpdump, IDS (Suricata), SIEM (Splunk, Chronicle), and Python automation.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
170 GitHub stars
Stars/forks activity
WARN57
170 stars, 43 forks; issue activity unavailable in current metadata
Recent maintenance
FAIL38
1y since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add Kwangsa19/Ketmanto-Cybersecurity-Portfolio
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
filesystem or document access, database access
Repository evidence
PASS86
https://github.com/Kwangsa19/Ketmanto-Cybersecurity-Portfolio
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Kwangsa19/Ketmanto-Cybersecurity-Portfolio
Repository
88
https://github.com/Kwangsa19/Ketmanto-Cybersecurity-Portfolio
License
86
MIT
Maintenance
38
1y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
57
170 stars, 43 forks; issue activity unavailable in current metadata
Adoption
68
170 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.
Compare nearby options
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67K Stars · Audit report
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113K Stars · Audit report
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33K Stars · Audit report