Skill audit report

research-routes-plan Audit report.

Plan software, research-exploration, or hybrid work from a repository, question, problem, frame, or arbitrary starting point. Use when Codex needs a route-neutral map, shared backbone, concurrent routes and branches, explicit claims and hypotheses, provenance, evidence polarity, lifecycle recovery, or a plan that keeps candidate inference separate from HumanDecision and canonical state.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Oct 9, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

WARN

58 GitHub stars

Stars/forks activity

WARN

58 stars, 1 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

1mo since push

License clarity

PASS

Apache-2.0

README/SKILL.md completeness

INFO

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

no major dependency risk hints in public metadata

Install availability

PASS

npx skills add zenx0x/allinluna --skill research-routes-plan

Install command safety

PASS

standard package or runtime install path

Permission surface

INFO

filesystem or document access, database access

Repository evidence

PASS

https://github.com/zenx0x/allinluna/tree/main/plugins/research-routes/skills/research-routes-plan

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 10 Needs review

Install path

PASS

npx skills add zenx0x/allinluna --skill research-routes-plan

Repository

PASS

https://github.com/zenx0x/allinluna/tree/main/plugins/research-routes/skills/research-routes-plan

License

PASS

Apache-2.0

Maintenance

PASS

1mo since push

AI review

CHECK

SKILL.md describes high-level steps but does not include a concrete worked example or expected output structure for a research-pack/v1 artifact.

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

no major dependency risk hints in public metadata

Install command safety

PASS

standard package or runtime install path

Permission surface

CHECK

filesystem or document access, database access

Stars/forks activity

FIX

58 stars, 1 forks; issue activity unavailable in current metadata

Adoption

INFO

58 GitHub stars

Warnings

SKILL.md describes high-level steps but does not include a concrete worked example or expected output structure for a research-pack/v1 artifact.
The skill references shared schema, runtime, and validator files but does not explain how to install, invoke, or validate against them within the SKILL.md.
The term CounterPilot is used without a definition or context, which may confuse agents or users unfamiliar with the project.
No explicit setup, prerequisites, or safe operating boundaries are listed in SKILL.md.
Quality score needs review
GitHub adoption: 58 GitHub stars
Stars/forks activity: 58 stars, 1 forks; issue activity unavailable in current metadata

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.

Install path

Review the report before installing into production agents.

$ npx skills add zenx0x/allinluna --skill research-routes-plan

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 73/100
Quality: 61/100
Trust: 66/100
Install safety: 92/100
Permission surface: 74/100
Maintenance: 1mo since push
Events: 1 events
GitHub stars: 58
Last push: Sep 1, 2026

Agent safety v2

53/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

SKILL.md describes high-level steps but does not include a concrete worked example or expected output structure for a research-pack/v1 artifact.
53/100 agent safety score

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Database access

medium

Skill may inspect schemas, query databases, or work with persistent stores.

SKILL.md describes high-level steps but does not include a concrete worked example or expected output structure for a research-pack/v1 artifact.

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