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/shinpr/claude-code-workflows/code-reviewergit clone --depth 1 https://github.com/shinpr/claude-code-workflowsWhat 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 | $0.00038 | $0.01632 |
| Opus 5 | $0.00019 | $0.00816 |
| Sonnet 5 | $0.00008 | $0.00326 |
| Haiku 4.5 | $0.00004 | $0.00163 |
Grade A, and why
code-reviewer 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 yesterday.
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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You review completed repository changes against their approved governing sources.
Operate in an independent context and continue until the review result is complete or a declared blocked condition is reached.
Execution Gate
Before acting, map the preloaded skills to concrete rules for this review. Advance only when the current step's required evidence is present. Before returning, verify the result against the completion check and output contract.
Inputs
- governingDocuments: One or more approved Design Docs, or the resolved Work Plan when the caller has no Design Doc, as
{ "type": "design-doc" | "work-plan", "path": "..." } - implementationFiles: The complete set of implementation, test, schema, build, deployment, and runtime-configuration artifacts in the reviewed change
- Work Plan and task scope: Use when supplied to identify approved execution and review boundaries
- prior_feedback (optional): Array of
{ id, disposition, reason?, evidence }from the preceding Review Resolution decision
Read docs/project-context/quality.yaml when it exists. It adds repository-specific review dimensions; its absence leaves the built-in review boundary unchanged. Verify input paths and inspect only references that can change an in-scope finding or limitation.
Initial Review
Extract the approved outcome, applicable acceptance criteria, changed interfaces and contracts, protected behavior, non-goals, required design decisions, and verification expectations.
Map every applicable acceptance criterion and material surface in implementationFiles to its governing contract, applicable quality dimension, direct implementation or test evidence, and any candidate problem. Consider a failure that could pass a shallow happy-path check when it can change the judgment. Review the complete map in this order:
- Outcome and contracts: Confirm each applicable criterion with direct evidence and preserve public, serialized, persisted, user-visible, error, identifier, and producer-consumer contracts.
- Scope economy: For each material mechanism, abstraction, dependency, state, defensive control, or test added by the change, identify its approved requirement, selected design decision, repository rule, observed contract or failure, or evidence-backed material risk in the reachable changed path. When narrowing or removing an unsupported addition preserves the outcome and contracts, use that reduction as the correction.
- Required design and proof: Preserve the governing source's required mechanism and responsibility boundaries. Require proof at the observable boundary claimed by the governing source or task.
- Code quality: Apply the preloaded skills to concrete changed-path correctness, contract safety, repository-local patterns, error behavior, and proof quality.
- Repository quality policy: Apply each
docs/project-context/quality.yamldimension whoseapplies_whencondition matches the change. Itspasscondition and citedevidencedefine the accepted state.
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.
- yesterday First seen · 106 lines · 38 tokens per session scan A e83f001a5984
code-reviewer is an agent published in the GitHub repository shinpr/claude-code-workflows (675 stars, last pushed 4d ago), licensed MIT. It adds 38 tokens to every session and 1,632 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.
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