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.
npx skills add zjp1997720/zhijian-skills --skill codex-doctorgit clone --depth 1 https://github.com/zjp1997720/zhijian-skillsWrote 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.
[](https://agentmods.dev/skills/zjp1997720/zhijian-skills/codex-doctor)<a href="https://agentmods.dev/skills/zjp1997720/zhijian-skills/codex-doctor"><img src="https://agentmods.dev/badge/skills/zjp1997720/zhijian-skills/codex-doctor/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.
<a href="https://agentmods.dev/skills/zjp1997720/zhijian-skills/codex-doctor"><img src="https://agentmods.dev/badge/skills/zjp1997720/zhijian-skills/codex-doctor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00149 | $0.01257 |
| Opus 5.5 | $0.00060 | $0.00503 |
| Sonnet 5.5 | $0.00030 | $0.00251 |
| Haiku 4.5 | $0.00015 | $0.00126 |
Grade A, and why
codex-doctor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex Doctor
Run a two-layer health check:
- Reuse Codex's stable built-in
codex doctor --jsonfor installation, config, auth, runtime, Git environment, terminal, app-server, update, and thread-inventory checks. Derive one narrow provider-scope warning when the default provider represents only a small minority of indexed history. - Run the bundled read-only scanner for workspace context governance that the built-in command does not cover.
The scanner gathers deterministic evidence. You make the semantic judgment. This separation matters because a script can prove that text repeats, but it cannot safely decide that a business fact, safety boundary, brand voice, or directory rule is disposable.
Run the check
Resolve the Skill directory from the loaded Skill path, then run:
python3 <skill-dir>/scripts/scan_workspace.py --cwd "$PWD" --compact-json
For a faster workspace-only pass when the built-in report was already run in the same task:
python3 <skill-dir>/scripts/scan_workspace.py --cwd "$PWD" --compact-json --skip-built-in
--compact-json preserves every finding and every built-in check row while omitting large Skill inventories and verbose passing-check details. Use --json only when full deterministic inventory evidence is required.
Do not save the raw built-in report inside the repository. If temporary storage is needed, use /tmp and remove it before finishing.
Interpret findings
Read checks-and-repair-policy.md before proposing any cleanup or repair. Keep severity and confidence separate:
S0: proven secret exposure or proven destructive riskS1: broken effective configuration, truncated hard rules, missing enabled executables, or installation/update mismatchS2: exact redundancy, duplicate active names/sources, or a clear project hygiene violationS3: maintenance pressure, stale disabled entries, new-version notice, or oversized descriptionsS4: informational, semantic candidate, or evidence gap
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 116 lines · 149 tokens per session scan A 173c4d38c8a7
codex-doctor is a skill published in the GitHub repository zjp1997720/zhijian-skills (787 stars, last pushed 4d ago), licensed MIT. It adds 149 tokens to every session and 1,257 once invoked, about $0.0006 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 2026-08-30.
codex-doctor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| codex-doctorzjp1997720/zhijian-skills | Skill | 787 | 4d ago | MIT | A | 149 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |