Skill audit report
A domain-agnostic thinking-partner method for turning any immature idea into a complete, implementable manuscript through deliberate divergence then convergence. NOT a software skill — software is merely one example domain; it applies equally to research design, business strategy, product, writing, policy, planning, and any open-ended problem you can't yet see whole. Invoke when the user brings a half-formed idea, says 先扩散后收敛 / 扩散收敛 / diverge-converge, wants the full picture before committing, or wants a multi-turn exploration distilled into a handoff document. 一套领域无关的通用思维方法:把任何不成熟的想法通过先扩散后收敛,逐步逼近成一份可实施的手稿,不限于软件构建。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
20 GitHub stars
Stars/forks activity
FAIL32
20 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
19d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
credential or environment access
Install availability
PASS92
npx skills add linshidream/skill-hub --skill diverge-converge
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/linshidream/skill-hub/tree/master/skills/creative/diverge-converge
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add linshidream/skill-hub --skill diverge-converge
Repository
88
https://github.com/linshidream/skill-hub/tree/master/skills/creative/diverge-converge
License
86
MIT
Maintenance
100
19d 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.
Compare nearby options
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K Stars · Audit report
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
62K Stars · Audit report
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Stars · Audit report
Usable description available
Dependency risk
72
credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
48
secrets or environment access, filesystem or document access
Stars/forks activity
32
20 stars, 4 forks; issue activity unavailable in current metadata
Adoption
42
20 GitHub stars
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.