audit

A skill that runs a full engineering-practice audit of a repository and produces a self-contained HTML report. It gathers repository and environment details, then follows the audit server's procedure.

In plain words
What is it for?
Use it to audit a codebase, check it against engineering-audit rules, and generate an HTML record of the findings.
Why use it?
It turns a broad review of engineering practices into a documented assessment with a repeatable process and report.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/rodlunt/engineering-audit/audit
Any agent
npx skills add rodlunt/engineering-audit --skill audit
Clone the repo
git clone --depth 1 https://github.com/rodlunt/engineering-audit

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 965 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00057 $0.00965
Opus 5 $0.00028 $0.00483
Sonnet 5 $0.00011 $0.00193
Haiku 4.5 $0.00006 $0.00097

Measured 2d ago against content hash 7e51202a8c06, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

audit scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

server with `curl`, and do not try to open the browser yourself. Calling `get_config` while its
integrations/claude-code/audit/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engineering practice audit

Runs a full engineering-practice audit of the current repository via the engineering-audit MCP server, and produces a self-contained HTML report.

The full, assistant-neutral procedure lives in this tool's own AUDIT.md (in the engineering-audit repository this server was installed from). Follow that document as the source of truth. The summary below exists so you do not have to fetch it before starting, but if the two ever disagree, AUDIT.md wins.

Flow (summary)

  1. Gather run metadata: repository name, git rev-parse HEAD, your own assistant/model identity, an ISO 8601 started timestamp, and the host environment (see below).
  2. Call begin_run with that metadata and output_dir set to <repo>/audit-output/. Pass environment with exactly these keys, omitting any you cannot determine: os (read from the machine, e.g. uname -sr or sw_vers), host_cli ("claude-code") and host_cli_version (claude --version). Any other key is refused: see AUDIT.md step 1 for why the set is closed.
  3. Call start_config.
    • Preset mode (ENGINEERING_AUDIT_CONFIG env var set): the config is already loaded, skip to step 4.
    • Interactive mode: the response has a url. Show it to the user as a clickable line (do not open it yourself, and do not try to fetch or wait on it via Bash) and ask them to choose domains there. Then call get_config in a loop: while its response's status is "waiting", call it again. Go to step 4 only once the status is "configured".
    • If get_config raises, the run's overall waiting deadline has expired. Tell the user plainly that the audit is waiting on them and stop. Do not proceed with a guessed domain selection. Call get_config again, with a larger timeout_s, once they confirm.
  4. For each selected domain id: call get_domain, read the full rule text, sweep the repository giving every rule an honest verdict (pass, finding, or not-applicable or could-not-evaluate with a reason: never a guessed pass), then call record_domain_result. If it rejects the payload as incomplete, the error lists the missing rule ids; fix and resubmit. Write every finding and issue body terse, in three parts and nothing else: the issue, why it matters, suggested fix (one or two sentences each).
  5. Call run_status and confirm nothing is missing.
  6. Call render_report with a finished timestamp. Tell the user where report.html landed and give a one-line findings summary.

Read the full file on GitHub · 60 lines

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. 2d ago First seen · 60 lines · 57 tokens per session scan A 7e51202a8c06

Subscribe to this mod's changes

audit is a skill published in the GitHub repository rodlunt/engineering-audit (1 stars, last pushed 3d ago), licensed Apache-2.0. It adds 57 tokens to every session and 965 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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