Skill audit report
Drive any Windows GUI application on the owner's real PC and PROVE what was done. A "fake human" that opens apps, reads their UI Automation tree, clicks/types/scrolls through them, and journals every action frame-bound and replayable — the desktop generalization of the playtester skill (Unity via injected C# seams) to "any app via UIA + pixels". Triggers when the owner says "operate <app>", "drive <app> and test X", "open <app> and do Y", "computer-use this", or points at the .Codex/tools/operator toolkit. Owner-present/supervised sessions only in OP-A (host lane, no arming). SEAM-FIRST: if a programmatic API/MCP/headless recipe can do the step, use THAT, not pixels.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
21 GitHub stars
Stars/forks activity
FAIL32
21 stars, 8 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d 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 DITlieD/ELAI-archive --skill operator
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL24
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/DITlieD/ELAI-archive/tree/main/.agents/skills/operator
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add DITlieD/ELAI-archive --skill operator
Repository
88
https://github.com/DITlieD/ELAI-archive/tree/main/.agents/skills/operator
License
86
MIT
Maintenance
100
11d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
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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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
24
secrets or environment access, shell or command execution
Stars/forks activity
32
21 stars, 8 forks; issue activity unavailable in current metadata
Adoption
42
21 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.