audit

audit is a command for coding agents from Ohswedd/praxis. It costs 18 tokens per session (390 once invoked), scanned A, original, MIT.

A command for checking a code change or an entire repository against a quality rubric. It uses separate reviews for issues such as broken references, duplication, regressions, edge cases, performance, accessibility, and completeness.

In plain words
What is it for?
Use it for a staged or focused change, or pass repo or a path to inspect the whole repository or a subtree. It helps verify code behavior, documentation, user-facing design, accessibility, and consistency.
Why use it?
A single review can miss problems in other parts of a change. This records evidence for each review, requires failed checks to be fixed, and repeats affected checks before reporting a green result.

Command

Part of the praxis plugin — 15 skills, 8 commands, 13 agents, 5 hooks shipped together

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 commands/ohswedd/praxis/audit
Clone the repo
git clone --depth 1 https://github.com/Ohswedd/praxis

Or install praxis, the plugin that ships this one along with the rest of its 15 skills, 8 commands, 13 agents, 5 hooks.

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 audit

README.md
[![agentmods](https://agentmods.dev/badge/commands/ohswedd/praxis/audit.svg)](https://agentmods.dev/commands/ohswedd/praxis/audit)
Your own site
<a href="https://agentmods.dev/commands/ohswedd/praxis/audit"><img src="https://agentmods.dev/badge/commands/ohswedd/praxis/audit.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 390 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00018 $0.00390
Opus 5 $0.00009 $0.00195
Sonnet 5 $0.00004 $0.00078
Haiku 4.5 $0.00002 $0.00039

Measured 3d ago against content hash c844e6ec5f41, 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 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 3d 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.

plugins/praxis/commands/audit.md · 30 lines

What it actually says

Two scopes, one command. Read ${ARGUMENTS} and pick:

Blank, staged, or a narrow focus goes to the quality-rubric skill on the current change. Scope it with scope.py (never git diff alone: on a branch that has committed anything it is empty), then dispatch every vertical auditor (doc-reference, duplication, regression, adversarial, edge-case, performance, completeness, plus accessibility and design-consistency whenever the change touches user-facing surface) and the horizontal consistency pass. Record each verdict with its evidence as its auditor finishes (report.py vertical <name> --verdict pass --summary "..." --evidence "file:line", which refuses a citation that does not resolve). Fix every FAIL, re-run the affected auditor, and record the green report once all pass. End with a compact verdict table.

repo, all, or a path goes to the repo-audit skill over the whole codebase or that subtree. Run the full pipeline: inventory and shard ledger (repo_scan.py init), starting report, forward audit of every shard against every vertical dimension, reverse audit of each finding via @praxis:finding-verifier, fixes applied in audited change-sets (defer architectural and breaking items with a remediation plan; --report-only skips fixing entirely), then the coverage-honest final report and the living-knowledge updates.

Coverage comes from the ledger, not from memory: no shard skipped, no dimension sampled, no finding acted on unverified, and any gap stated explicitly.

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. 3d ago First seen · 30 lines · 18 tokens per session scan A c844e6ec5f41

Subscribe to this mod's changes

audit is a command published in the GitHub repository Ohswedd/praxis (1 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 390 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.