codex-check

codex-check is a skill for Claude Code, Codex from yinanli1917-cloud/searching-apple-notes. It costs 24 tokens per session (237 once invoked), scanned A, original, MIT.

A verification procedure for recent Codex harness or project changes. It checks changed files, task requirements, focused tests, syntax, and rollout conditions.

In plain words
What is it for?
Use it after changing the Codex harness or a related project, especially when task-specific tests and installation checks are needed.
Why use it?
It helps confirm that a change meets its requirements and catches regressions before the work is handed over. It keeps deeper diagnostics for cases where focused checks fail.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also installed under .codex/. Also seen: mentions Codex.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/codex_harness.py task agent-context <task> check.

Part of the searching-apple-notes plugin — 9 skills shipped together

Good fit Use it after changing the Codex harness or a related project, especially when task-specific tests and installation checks are needed.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/yinanli1917-cloud/searching-apple-notes
agentmods
npx agentmods add skills/yinanli1917-cloud/searching-apple-notes/codex-check

Made for: Claude Code, Codex.

Or install searching-apple-notes, the plugin that ships this one along with the rest of its 9 skills.

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 codex-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/yinanli1917-cloud/searching-apple-notes/codex-check/github.svg)](https://agentmods.dev/skills/yinanli1917-cloud/searching-apple-notes/codex-check)
Your own site
<a href="https://agentmods.dev/skills/yinanli1917-cloud/searching-apple-notes/codex-check"><img src="https://agentmods.dev/badge/skills/yinanli1917-cloud/searching-apple-notes/codex-check/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 codex-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/yinanli1917-cloud/searching-apple-notes/codex-check"><img src="https://agentmods.dev/badge/skills/yinanli1917-cloud/searching-apple-notes/codex-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 237 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 original 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 $0.00024 $0.00237
Opus 5 $0.00012 $0.00118
Sonnet 5 $0.00005 $0.00047
Haiku 4.5 $0.00002 $0.00024

Measured 9d ago against content hash f8ba14b072d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

codex-check 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 9d 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.

.codex/skills/codex-check/SKILL.md · 37 lines

What it actually says

Check Work

Verify the current task without turning the main session into a diagnostic dump.

  1. Identify changed files:

    git status --short
    git diff --name-only
    
  2. Load check context:

    python3 scripts/codex_harness.py task agent-context <task> check
    
  3. Run task-specific tests and focused syntax checks.

  4. For harness changes, run:

    python3 install.py
    
  5. Use deeper diagnostics only when the focused check fails:

    python3 scripts/codex_harness.py context --dashboard
    python3 ~/.codex/harness/bin/verify_all_codex_harness.py --deep
    python3 ~/.codex/harness/bin/verify_all_codex_harness.py --state-audit
    

Report product/task outcome first. Mention harness internals only if they block the requested work or explain a failed verification.

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. 9d ago First seen · 37 lines · 24 tokens per session scan A f8ba14b072d2

Subscribe to this mod's changes

codex-check is a skill published in the GitHub repository yinanli1917-cloud/searching-apple-notes (2 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 237 once invoked, about $0.0001 per session on Opus 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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