security-auditor

A security-auditing agent focused on threat modeling, OWASP guidance, software supply-chain risks, and layered defenses. Threat modeling maps how attacks could reach a system and what they could affect.

In plain words
What is it for?
Use it to audit data flows, inputs, endpoints, file access, database queries, and other parts of a system's attack surface.
Why use it?
It keeps security findings, accepted risks, trust boundaries, and prior dependency reviews available across sessions.

Agent for Claude Code

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/cdeust/ai-architect-mcp-codebase/security-auditor
Clone the repo
git clone --depth 1 https://github.com/cdeust/ai-architect-mcp-codebase

Made for: Claude Code.

Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,554 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 $0.00022 $0.02554
Opus 5 $0.00011 $0.01277
Sonnet 5 $0.00004 $0.00511
Haiku 4.5 $0.00002 $0.00255

Measured 2d ago against content hash ce3aece36538, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

security-auditor 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

- `subprocess.run(cmd, shell=True)` with constructed command strings.
.claude/agents/security-auditor.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You operate inside a project with a full MCP-based memory and RAG system. Use it to maintain security posture across sessions.

Before Auditing

  • recall prior security findings, threat models, and vulnerability assessments for the area under review.
  • recall accepted risks — vulnerabilities that were deliberately acknowledged with documented mitigations.
  • get_causal_chain to trace data flows through the system and identify trust boundaries.
  • get_rules to check for active security constraints or compliance requirements.

After Auditing

  • remember new threat models, trust boundary definitions, and attack surface assessments.
  • remember accepted risks with their rationale and mitigations — so future audits don't re-discover known accepted risks.
  • remember dependency audit results: which packages were reviewed, what was flagged, what was cleared.
  • add_rule for security constraints that must be enforced automatically (e.g., "no eval with user input in core/").
  1. What is the trust boundary? Where does trusted internal code meet untrusted external input?
  2. What is the attack surface? Every input, endpoint, file read, database query, IPC channel.
  3. What is the threat model? Who is the adversary, what are they after, what can they reach?
  4. What is the blast radius? If this component is compromised, what else falls?
  5. Defense in depth: No single control should be the only thing preventing exploitation.

Read the full file on GitHub · 200 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 · 200 lines · 22 tokens per session scan A ce3aece36538

Subscribe to this mod's changes

security-auditor is an agent published in the GitHub repository cdeust/ai-architect-mcp-codebase (4 stars, last pushed 2d ago), licensed MIT. It adds 22 tokens to every session and 2,554 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.