ai-code-inspection

ai-code-inspection is a skill for Codex from xinghang-ee-cs/dev-runtime-skill. It costs 234 tokens per session (7,451 once invoked), scanned A, original, AGPL-3.0.

A general-purpose code-review and diagnosis workflow written in Chinese, covering controlled fixes, regression checks, requirement checks, audits, and merge readiness.

In plain words
What is it for?
Use it to review current changes, diagnose or fix a confirmed bug, check requirements, assess refactoring risk, audit a project, or determine whether a change is ready to merge. It is not intended for releases or strict security audits.
Why use it?
It routes different code problems to an appropriate review process instead of treating every change the same way.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to review current changes, diagnose or fix a confirmed bug, check requirements, assess refactoring risk, audit a project, or determine whether a change is ready to merge. It is not intended for releases or strict security audits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xinghang-ee-cs/dev-runtime-skill/ai-code-inspection
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add xinghang-ee-cs/dev-runtime-skill --skill ai-code-inspection
Clone the repo
git clone --depth 1 https://github.com/xinghang-ee-cs/dev-runtime-skill

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ai-code-inspection

README.md
[![agentmods](https://agentmods.dev/badge/skills/xinghang-ee-cs/dev-runtime-skill/ai-code-inspection/github.svg)](https://agentmods.dev/skills/xinghang-ee-cs/dev-runtime-skill/ai-code-inspection)
Your own site
<a href="https://agentmods.dev/skills/xinghang-ee-cs/dev-runtime-skill/ai-code-inspection"><img src="https://agentmods.dev/badge/skills/xinghang-ee-cs/dev-runtime-skill/ai-code-inspection/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ai-code-inspection

Your own site · 80×15
<a href="https://agentmods.dev/skills/xinghang-ee-cs/dev-runtime-skill/ai-code-inspection"><img src="https://agentmods.dev/badge/skills/xinghang-ee-cs/dev-runtime-skill/ai-code-inspection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 234 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,451 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00234 $0.07451
Opus 5.5 $0.00094 $0.02980
Sonnet 5.5 $0.00047 $0.01490
Haiku 4.5 $0.00023 $0.00745

Measured 1mo ago against content hash d3bf29b62067, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-code-inspection scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ai-code-inspection/SKILL.md · 320 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · +10 lines · +38 tokens per session d3bf29b62067
  2. 1mo ago First seen · 310 lines · 196 tokens per session scan A b99d3ede4b87

Subscribe to this mod's changes

ai-code-inspection is a skill published in the GitHub repository xinghang-ee-cs/dev-runtime-skill (11 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 234 tokens to every session and 7,451 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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