Skill audit report

ml-paper-writing Audit report.

Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 14, 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

PASS

1.4K GitHub stars

Stars/forks activity

INFO

1.4K stars, 97 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

command execution surface, network or browser surface

Install availability

PASS

npx skills add OpenRaiser/NanoResearch --skill ml-paper-writing

Install command safety

PASS

standard package or runtime install path

Permission surface

WARN

shell or command execution, filesystem or document access

Repository evidence

PASS

https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/ml-paper-writing

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 11 Needs review

Install path

PASS

npx skills add OpenRaiser/NanoResearch --skill ml-paper-writing

Repository

PASS

https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/ml-paper-writing

License

PASS

MIT

Maintenance

PASS

3mo since push

AI review

CHECK

The skill relies on external MCP servers and APIs (Exa, Semantic Scholar, arXiv, Crossref) without explicit installation instructions or version pinning for dependencies.

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

CHECK

command execution surface, network or browser surface

Install command safety

PASS

standard package or runtime install path

Permission surface

FIX

shell or command execution, filesystem or document access

Stars/forks activity

CHECK

1.4K stars, 97 forks; issue activity unavailable in current metadata

Adoption

PASS

1.4K GitHub stars

Warnings

Permission surface may require sandboxing
The skill relies on external MCP servers and APIs (Exa, Semantic Scholar, arXiv, Crossref) without explicit installation instructions or version pinning for dependencies.
There is no explicit limitations section in SKILL.md clarifying boundaries such as venue policy changes, human oversight, or ethical review responsibilities.
Dependencies are listed as Python package names but the skill does not provide setup commands, API key guidance, or failure handling for unavailable APIs.
Quality score needs review
Permission surface needs review: shell or command execution, filesystem or document access
Permission surface: shell or command execution, filesystem or document access

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 OpenRaiser/NanoResearch --skill ml-paper-writing

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: 79/100
Quality: 79/100
Trust: 71/100
Install safety: 92/100
Permission surface: 48/100
Maintenance: 3mo since push
Events: 20 events
GitHub stars: 1.4K
Last push: Aug 25, 2026

Agent safety v2

47/100 · 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.

High-risk permission hints: Shell or command execution
47/100 agent safety score

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

Browser automation

medium

Skill may drive a browser or interact with web pages.

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.

High-risk permission hints: Shell or command execution
Permission surface may require sandboxing

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