Skill audit report
Run a panel of independent synthetic respondents against copy, a slogan, brand values, a landing page, or any user-facing text — each in an isolated context, each a different specific person — then read the panel for convergence and divergence. Use when the user asks "how does this land", "what would people think of this", "test this tagline", "get reactions to this copy", "run a panel", or wants gut-level audience reaction rather than expert critique. Complements persona-review, which is expert stakeholder critique of a document. Triggers on respondent panel, how does this land, what would people think, test this tagline, reactions to this copy, gut reaction, audience reaction.
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
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add glebis/humane-agentic-design --skill respondent-panel
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/glebis/humane-agentic-design/tree/main/humane/skills/respondent-panel
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 respondent-panel
Repository
88
https://github.com/glebis/humane-agentic-design/tree/main/humane/skills/respondent-panel
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
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
43
28 stars, 1 forks; issue activity unavailable in current metadata
Adoption
42
28 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
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.