work-audit

work-audit is a skill for Claude Code, Codex from xcaeser/work-skill. It costs 63 tokens per session (1,228 once invoked), scanned A, original, MIT.

A read-only code audit workflow that examines a repository, branch, change, artifact, or runtime flow without editing source files. It produces a self-contained plan for fixing the issues it finds.

In plain words
What is it for?
Use it when you need an audit of reliability, simplicity, testing, user-state safety, or a specific code path. It assigns one high-effort analyst, records the audit goal, and requires the required checks before completing.
Why use it?
It separates investigation from implementation and requires concrete evidence instead of guesses or status updates. This makes the findings easier for another coding agent to act on safely.

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

Made for: Claude Code, Codex.

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 work-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/xcaeser/work-skill/work-audit.svg)](https://agentmods.dev/skills/xcaeser/work-skill/work-audit)
Your own site
<a href="https://agentmods.dev/skills/xcaeser/work-skill/work-audit"><img src="https://agentmods.dev/badge/skills/xcaeser/work-skill/work-audit.svg" alt="Measured on agentmods" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,228 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 $0.00063 $0.01228
Opus 5 $0.00032 $0.00614
Sonnet 5 $0.00013 $0.00246
Haiku 4.5 $0.00006 $0.00123

Measured 3d ago against content hash 703b52a72021, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

work-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.

skills/work-audit/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Work / 7. Audit

Audit without changing source files. Keep the parent orchestrator accountable for scope, verification, decisions, and any later edits.

Apply reliability, restraint, simplicity, meaningful testing, user-state safety, and proof over status. Never preserve backwards compatibility; update current consumers and remove obsolete paths. Treat concrete evidence as the handoff requirement.

Fixed route

  • If the exact subagent model, effort, or goal tools are unavailable, return blocked with the missing capability. Do not substitute a model or perform the audit in the parent.
  • Launch exactly one gpt-5.6-sol subagent at xhigh effort with fork_turns: none.
  • Give it a fun call sign and a complete read-only task packet: exact task statement, ownership, source of truth, risk axes, exclusions, acceptance checks, and validation requirements.
  • Keep early hypotheses independent and require concrete locations, reproductions, traces, or commands; reject status reports and unsupported “routine” conclusions.
  • Require it to call create_goal with the exact audit goal before inspection and update_goal complete only after the required checks pass.
  • Let the analyst run until it returns findings, a real blocker, or a user-input request. Do not cancel it because a polling window or arbitrary wall-clock interval elapsed; a wait timeout is not a failure.
  • The analyst must not edit, commit, deploy, spawn, or delegate.
  • Scale depth to the target and risk. Inspect only relevant paths, direct consumers, and evidence needed to verify findings; return the audit without process narration and stop when every material risk axis has a supported disposition.
  • Report the successful launch as a compact table with Agent, Working on, Goal, Ownership, and Model.

Work / 7. Audit

  1. Resolve the target: working tree, commit, branch comparison, artifact, runtime flow, or named files.
  2. Identify the source of truth and material risk axes: correctness, regressions, security, data loss, accessibility, performance, or missing validation.
  3. Before recommending tests, inspect the implementation, existing tests, public APIs, and actual user flows. Add test findings only for observed contracts, real regressions, or meaningful boundaries.
  4. Inspect independently and collect concrete evidence, exact locations, and the smallest credible reproduction.
  5. Challenge the happy path and the exact contract at the boundaries the task can affect: malformed input, offline or hanging work, retries, partial state, interruption, permissions, upgrades, and recovery.
  6. Check the architecture against the simplest complete implementation, modular concerns, existing dependencies and their documentation/types, and long-term decisions rather than stopgaps.
  7. Reject style preferences, unsupported suspicion, findings without material impact, and reductions that merely restate the original problem.
  8. Verify the handoff in the parent; an analyst summary is not proof. If the route is blocked, record the exact gap and do not keep repeating it without a materially new mechanism.

Read the full file on GitHub · 88 lines

Files

What ships with it

1 file 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.

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 · 88 lines · 63 tokens per session scan A 703b52a72021

Subscribe to this mod's changes

work-audit is a skill published in the GitHub repository xcaeser/work-skill (2 stars, last pushed 23d ago), licensed MIT. It adds 63 tokens to every session and 1,228 once invoked, about $0.0003 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.

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