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.
git clone --depth 1 https://github.com/NieZhuZhu/ai-harness-doctorWrote 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/commands/niezhuzhu/ai-harness-doctor/harness-doctor)<a href="https://agentmods.dev/commands/niezhuzhu/ai-harness-doctor/harness-doctor"><img src="https://agentmods.dev/badge/commands/niezhuzhu/ai-harness-doctor/harness-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/commands/niezhuzhu/ai-harness-doctor/harness-doctor"><img src="https://agentmods.dev/badge/commands/niezhuzhu/ai-harness-doctor/harness-doctor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00006 | $0.00155 |
| Opus 5 | $0.00003 | $0.00077 |
| Sonnet 5 | $0.00001 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
harness-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 12d 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- harness-scan — 86% identical, 4 lines differ
- harness-eval — 84% identical, 4 lines differ
- harness-drift — 84% identical, 4 lines differ
- harness-treat — 84% identical, 4 lines differ
What it actually says
Target repo: $ARGUMENTS if provided, otherwise the current working directory.
Locate the installed AI Harness Doctor skill in this order:
<target-repo>/.claude/skills/ai-harness-doctor~/.claude/skills/ai-harness-doctor
Read <skill>/SKILL.md first. Then execute phases 0→2 in order (phase 3 only when explicitly requested) on the target repo, obeying the exact stop condition documented in SKILL.md. Use the deterministic scripts under <skill>/scripts/; do not substitute scripts from the target repo unless they are the installed skill scripts.
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.
- 12d ago First seen · 14 lines · 6 tokens per session scan A b5329942da4c
harness-doctor is a command published in the GitHub repository NieZhuZhu/ai-harness-doctor (2 stars, last pushed 1mo ago), licensed MIT. It adds 6 tokens to every session and 155 once invoked, about $0.0000 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.
Other commands, from other repositories
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perf-profile.template
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ui-snapshot.template
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speckit.md-doctor.drift
Re-evaluate since the last run: compute the git/.memsearch/TDD delta, re-score previously graded files in light of what changed, and report which past suggestions were resolved or are now stale/false.
refactor
Refactoring command. Detects code smells and creates a safe refactoring plan.
poly-check
Lint and check formatting with poly — apply no fixes; summarize findings and drift.