Skill audit report
Py Sec Edgar audit report.
Python application used to download, parse, and extract structured/unstructured data from filings in the SEC Edgar Database (including 10-K, 10-Q, 13-D, S-1, 8-K, etc.)
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
127 GitHub stars
Stars/forks activity
WARN57
127 stars, 22 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add ryansmccoy/py-sec-edgar
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/ryansmccoy/py-sec-edgar
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add ryansmccoy/py-sec-edgar
Repository
88
https://github.com/ryansmccoy/py-sec-edgar
License
45
Unknown
Maintenance
88
2mo 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
127 stars, 22 forks; issue activity unavailable in current metadata
Adoption
68
127 GitHub stars
Warnings
- License is unclear
- Quality score needs review
- Stars/forks activity: 127 stars, 22 forks; issue activity unavailable in current metadata
- License clarity: Unknown
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
Related skills to audit next
TradingAgents
TradingAgents: Multi-Agents LLM Financial Trading Framework
88K stars · Audit report
OpenBB
Financial data platform for analysts, quants and AI agents.
70K stars · Audit report
Daily Stock Analysis
LLM驱动的 A/H/美股智能分析:多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送,零成本定时运行,纯白嫖. LLM-powered stock analysis system for A/H/US markets.
52K stars · Audit report