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 AnastasiyaW/codex-claude-code-config --skill harness-auditgit clone --depth 1 https://github.com/AnastasiyaW/codex-claude-code-configWrote 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/anastasiyaw/codex-claude-code-config/harness-audit)<a href="https://agentmods.dev/skills/anastasiyaw/codex-claude-code-config/harness-audit"><img src="https://agentmods.dev/badge/skills/anastasiyaw/codex-claude-code-config/harness-audit/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/anastasiyaw/codex-claude-code-config/harness-audit"><img src="https://agentmods.dev/badge/skills/anastasiyaw/codex-claude-code-config/harness-audit.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 | $0.00113 | $0.02257 |
| Opus 5 | $0.00056 | $0.01128 |
| Sonnet 5 | $0.00023 | $0.00451 |
| Haiku 4.5 | $0.00011 | $0.00226 |
Grade A, and why
harness-audit 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 today.
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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Harness Audit
Trigger on phrases like: "audit my harness", "evaluate my agent setup", "score my CLAUDE.md", "is my project ready for long-run", "5-subsystem assessment", "what's missing from my project setup", "/harness-audit". Run proactively when joining an unfamiliar codebase that has agent artifacts (CLAUDE.md, .claude/, AGENTS.md) but obvious gaps. Skip for single-file scripts and pure exploration.
Score a project's agent harness across five subsystems and tell the user which evidenced bottleneck to address first. Distinguish an artifact's presence from demonstrated behavior; never present metadata alone as runtime proof.
Source: Five-subsystem framework adapted from Learn Harness Engineering (walkinglabs, MIT). Adapted to our concrete stack: CLAUDE.md, .claude/rules/, PROBLEMS.md, feature_list.json, init.sh, hooks, handoffs, chronicles.
What This Skill Does
Given a project directory, produces a scorecard like this. This example assumes
project-xyz delivers features across sessions and uses pull requests:
=== Harness Audit: project-xyz ===
Instructions 4/5 ✓ Agent entrypoint and modular rules are documented and used
~ PR review guidance is not found in the inspected evidence
State 2/5 ✓ 3 handoffs preserve some continuation state
✗ No current record locates active scope and deferred work
~ PROBLEMS.md / feature_list.json are suitable conventions, not prerequisites
Verification 3/5 ✓ Documented test command; pytest is configured
~ No current execution receipt supplied
✗ No documented staged validation/proof route
Scope 3/5 ✓ in-scope principle in CLAUDE.md
~ shared-resource policy is unknown; no serialized lane is declared
✗ Definition of Done not explicit
Lifecycle 2/5 ✗ Needed session-boundary entry/stop behavior is not documented or demonstrated
~ Manual cleanup convention exists but not enforced
Bottleneck: State (2/5) — no current locator for feature scope and deferred work
Priority improvement (only when the user asks for recommendations):
- Record an execution receipt for the existing test command ↗ Verification evidence
What ships with it
2 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.
- today Changed · +5 lines 063990e8fe1f
- yesterday Changed · -12 lines ad6b03331b79
- 9d ago First seen · 175 lines · 113 tokens per session scan A 75759593b8a0
harness-audit is a skill published in the GitHub repository AnastasiyaW/codex-claude-code-config (149 stars, last pushed today), licensed MIT. It adds 113 tokens to every session and 2,257 once invoked, about $0.0006 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 2026-08-30.
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