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.
npx agentmods add agents/thejefflarson/soundcheck/design-reviewgit clone --depth 1 https://github.com/thejefflarson/soundcheckWhat 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.
| Model | Per session | Once 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 |
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.
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-modeling — purpose, deployment, trusted_inputs,
untrusted_inputs. Use it as context.
What to do
-
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 ReadSKILL.mdfiles — the catalog is only reachable through the Skill tool with thesoundcheck:prefix. -
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. -
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".
-
Trust
trusted_inputs. Don't emit findings about the maintainer's own committed source treating itself as input. IfCLAUDE.mddocuments that a category is out of scope ("we don't worry about X because Y"), respect that.
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.
- 2d ago First seen · 135 lines · 49 tokens per session scan A 0b2d0b6f06cc
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.
Other agents, from other repositories
test-engineer
QA engineer specialized in test strategy, test writing, and coverage analysis. Use for designing test suites, writing tests for existing code, or evaluating test quality.
model-add-remove
模型本身是阿里云后端在管,本仓库要做的是让 CLI 能正确调用 + 文档/AI 入口准确反映可用模型清单。.
frontend-design
React 前端技术设计专家。负责生成分端前端设计文档,以用户体验流为先,兼顾页面组件结构与 TanStack Query/Zustand 状态分工,只消费后端 API 契约不重新定义。.
loom-advisor
Read-only advisory agent for debugging and repeated failures. Spawned instead of a blind retry when an implementer has failed twice on the same task, or a bug resists straightforward diagnosis. Returns a root-cause diagnosis plus one concrete next step.
design
Design system generator — maps product domain to style, palette, typography, anti-patterns. Creates .rune/design-system.md. Use BEFORE any frontend code generation.
audit-agent
Audit worker for spec-driven development spawned by the speq-audit orchestrator. Verifies specs/mission.md against the real spec library and returns the inconsistencies. Read-only — authors nothing.