Skill audit report

miles-rl-training Audit report.

Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing train-inference alignment, or requiring speculative RL for maximum throughput.

BLOCKED · BLOCKRiskyGenerated Oct 13, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

100

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

PASS

100

13K GitHub stars

Stars/forks activity

PASS

13K stars, 948 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

2d since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

FAIL

command execution surface, credential or environment access

Install availability

PASS

npx skills add Orchestra-Research/AI-Research-SKILLs --skill miles-rl-training

Install command safety

PASS

standard package or runtime install path

Permission surface

FAIL

secrets or environment access, shell or command execution

Repository evidence

PASS

https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/06-post-training/miles

Review status

WARN

50.9

AI review approval is missing

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 13 Needs review

Install path

PASS

npx skills add Orchestra-Research/AI-Research-SKILLs --skill miles-rl-training

Repository

PASS

https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/06-post-training/miles

License

PASS

MIT

Maintenance

100

PASS

2d since push

AI review

CHECK

Review approval is missing

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

FIX

command execution surface, credential or environment access

Install command safety

PASS

standard package or runtime install path

Permission surface

FIX

secrets or environment access, shell or command execution

Stars/forks activity

PASS

13K stars, 948 forks; issue activity unavailable in current metadata

Adoption

PASS

13K GitHub stars

Warnings

Dependency or permission surface needs review
Permission surface may require sandboxing
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
AI review approval is missing
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

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 Orchestra-Research/AI-Research-SKILLs --skill miles-rl-training

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: block
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 84/100
Quality: 87/100
Trust: 78/100
Install safety: 92/100
Permission surface: 22/100
Maintenance: 2d since push
Events: 2 events
GitHub stars: 13K
Last push: Oct 11, 2026

Agent safety v2

44/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Audit risk exceeds the requested agent policy
Audit classified this skill as risky
Metadata combines secrets access with shell or command execution
Audit risk risky exceeds max_risk=medium

Shell or command execution

high

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

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.

Secrets or environment access

high

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

Audit risk risky exceeds max_risk=medium
High-risk permission hints: Shell or command execution, Secrets or environment access
Dependency or permission surface needs review

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