Skill audit report
Task-based evaluation of a real interface — take one job from the JTBD corpus, attempt it step by step as the person who has it, and record where the attempt breaks. Answers "can someone actually complete this?", which inspection and reaction methods do not. Runs a cognitive walkthrough (four questions per step) against a live URL, a prototype, screenshots, or the code, and reports task success against the outcome it was derived from. Use when you have a task and something operable to attempt it on. Triggers on walkthrough, cognitive walkthrough, task analysis, "can a user actually do this", "test this task", "where do people get stuck", "walk through the signup flow", "test this on mobile", "drive it in the browser", "пройди сценарий".
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
28 GitHub stars
Stars/forks activity
WARN43
28 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
23d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add glebis/humane-agentic-design --skill walkthrough
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/glebis/humane-agentic-design/tree/main/humane/skills/walkthrough
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add glebis/humane-agentic-design --skill walkthrough
Repository
88
https://github.com/glebis/humane-agentic-design/tree/main/humane/skills/walkthrough
License
86
MIT
Maintenance
100
23d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
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
22
secrets or environment access, shell or command execution
Stars/forks activity
43
28 stars, 1 forks; issue activity unavailable in current metadata
Adoption
42
28 GitHub stars
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.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.