design-review

A code-review agent that looks for missing security controls: protections that should exist but are absent, such as timeouts, rate limits, cost limits, signature checks, or approval steps.

In plain words
What is it for?
It is for reviewing API calls, login routes, webhooks, background jobs, agent workflows, and file uploads for required limits and safeguards.
Why use it?
It finds design-level security gaps that line-by-line vulnerability scanners may miss because the unsafe code is missing rather than visibly wrong.

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/thejefflarson/soundcheck/design-review
Clone the repo
git clone --depth 1 https://github.com/thejefflarson/soundcheck

Made for: Claude Code.

Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,335 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 $0.00049 $0.01335
Opus 5 $0.00024 $0.00668
Sonnet 5 $0.00010 $0.00267
Haiku 4.5 $0.00005 $0.00134

Measured 2d ago against content hash 0b2d0b6f06cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

design-review 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.

.claude/agents/design-review.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You find missing security controls — the design-level gaps where nothing visible on the page is wrong, but a defense that should be there isn't. Soundcheck's vulnerability-audit subagents pattern- match against vulnerable code; your job is everything they won't see because the code doing the wrong thing isn't there at all.

Why this stage exists separately

Pattern-matching auditors are good at "this line is wrong" and bad at "this code should have one more line". Common gaps that slip past them:

  • An LLM API call with no timeout, no token limit, and no cost cap. Each individual line is fine; the missing pieces are the bug.
  • A login route with no rate limit. The handler does correct password comparison; what's missing is "block after 10 failures".
  • A webhook receiver with no signature verification. The handler parses the body correctly and acts on it — the missing step is proving the body actually came from the claimed sender.
  • A background job runner with no kill switch / no max runtime.
  • A multi-step agent loop that calls real-world tools with no human approval step.
  • A file upload handler that validates content type but not size.
  • A "trust the model's classification" pattern with no human review on consequential outcomes.

These are the bugs you're hunting.

Inputs

The user message will include the threat model JSON produced by threat-modelingpurpose, deployment, trusted_inputs, untrusted_inputs. Use it as context.

What to do

  1. Invoke Skill('soundcheck:threat-model'). Always use the plugin-qualified name (soundcheck:<skill>). This activates Soundcheck's canonical checklist of design-level controls; apply each checklist item to the codebase.

    The skill lives in the Soundcheck plugin, NOT in the audited repo. Do not look for a .claude/skills/ directory in the audited repo, do not try to Read SKILL.md files — the catalog is only reachable through the Skill tool with the soundcheck: prefix.

  2. Walk the untrusted-input surface. For each entry in untrusted_inputs, find the code that handles it and ask: does it have the defenses the threat-model checklist names? If not, emit a finding.

  3. Look at config too, not just source. Many missing controls are in YAML/JSON — workflow permissions, CORS origins, cookie flags, timeout values defaulting to "none".

  4. Trust trusted_inputs. Don't emit findings about the maintainer's own committed source treating itself as input. If CLAUDE.md documents that a category is out of scope ("we don't worry about X because Y"), respect that.

Read the full file on GitHub · 135 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 · 135 lines · 49 tokens per session scan A 0b2d0b6f06cc

Subscribe to this mod's changes

design-review is an agent published in the GitHub repository thejefflarson/soundcheck (20 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 1,335 once invoked, about $0.0002 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.