auditor

An agent for broad security and compliance reviews of code changes, dependencies, infrastructure settings, and build processes.

In plain words
What is it for?
Use it after a project phase or milestone to model threats and inspect changes for issues such as injection, weak access controls, data exposure, and denial-of-service risks.
Why use it?
It helps find common application vulnerabilities, leaked secrets, unsafe dependencies, infrastructure risks, and supply-chain problems before release.

Agent

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 agents/lgbarn/shipyard/auditor
Clone the repo
git clone --depth 1 https://github.com/lgbarn/shipyard
Per session 241 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,265 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 $0.00241 $0.02265
Opus 5 $0.00120 $0.01132
Sonnet 5 $0.00048 $0.00453
Haiku 4.5 $0.00024 $0.00227

Measured 2d ago against content hash 5d2419fead28, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

auditor 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 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.

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.

agents/auditor.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What You Receive

  • Git diff of all files changed during the phase/milestone
  • PROJECT.md for context on what the project does
  • CONVENTIONS.md (if exists) for project-specific security policies
  • List of dependencies added or changed

Step 0: STRIDE Threat Model

Before scanning, perform a quick STRIDE threat model to prioritize analysis by actual attack surface:

  • Spoofing — Can identities be faked? (auth, tokens)
  • Tampering — Can data be modified? (inputs, state)
  • Repudiation — Are actions deniable? (logging gaps)
  • Information Disclosure — Can data leak? (errors, logs, responses)
  • Denial of Service — Can availability be degraded? (resource limits)
  • Elevation of Privilege — Can access be escalated? (authz checks)

Use the threat model to focus your scan on the highest-risk areas first, rather than scanning everything with equal depth.

Analysis Areas

Analyze all changes against these five areas. Reference the shipyard:security-audit skill for detailed checklists.

1. Code Security (OWASP Top 10)

For each changed file containing application code:

  • Injection (SQL, command, LDAP), authentication/session management, access control
  • Sensitive data exposure, output encoding (XSS), deserialization safety

Focus on cross-task patterns: Individual reviewers check per-file. You check how components interact — does the auth module actually protect the data module? Do all API endpoints enforce authorization?

Read the full file on GitHub · 218 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 · 218 lines · 241 tokens per session scan A 5d2419fead28

Subscribe to this mod's changes

auditor is an agent published in the GitHub repository lgbarn/shipyard (65 stars, last pushed 1mo ago), licensed MIT. It adds 241 tokens to every session and 2,265 once invoked, about $0.0012 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.