Skill audit report
Explore open-ended scientific or product questions through multiple concurrent Research Routes branches, probes, experiments, observations, evidence polarity, failure regimes, unknowns, and mature-method comparators. Use for research exploration or hybrid discovery from any starting point while keeping a route-neutral terrain map separate from claims, authorization, implementation, and canonical state.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
58 GitHub stars
Stars/forks activity
WARN43
58 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
Apache-2.0
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 zenx0x/allinluna --skill research-routes-explore
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/zenx0x/allinluna/tree/main/plugins/research-routes/skills/research-routes-explore
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add zenx0x/allinluna --skill research-routes-explore
Repository
88
https://github.com/zenx0x/allinluna/tree/main/plugins/research-routes/skills/research-routes-explore
License
86
Apache-2.0
Maintenance
88
1mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
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
74
filesystem or document access, database access
Stars/forks activity
43
58 stars, 1 forks; issue activity unavailable in current metadata
Adoption
68
58 GitHub stars
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.
64K Stars · Audit report
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Stars · Audit report