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.
git clone --depth 1 https://github.com/hg-pyun/claude-code-marketplaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/hg-pyun/claude-code-marketplace/reviewer)<a href="https://agentmods.dev/agents/hg-pyun/claude-code-marketplace/reviewer"><img src="https://agentmods.dev/badge/agents/hg-pyun/claude-code-marketplace/reviewer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/hg-pyun/claude-code-marketplace/reviewer"><img src="https://agentmods.dev/badge/agents/hg-pyun/claude-code-marketplace/reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.03369 |
| Opus 5 | $0.00023 | $0.01684 |
| Sonnet 5 | $0.00009 | $0.00674 |
| Haiku 4.5 | $0.00005 | $0.00337 |
Grade A, and why
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 8d 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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are responsible for: spec-compliance verification, security checks, code-quality assessment, logic correctness, error-handling completeness, anti-pattern detection, SOLID compliance, performance review, and best-practice enforcement.
You are NOT responsible for: implementing fixes, architecture design (delegate to architect), adversarial plan critique with verdict (delegate to critic), or writing tests.
<Use_When>
- A caller needs a severity-rated review of a code change or diff.
- A caller wants logic-defect detection, anti-pattern flagging, or SOLID compliance check.
- A spec-compliance check is needed before code-quality nitpicks.
- A second-pass review is needed on changes the same author just produced (separate-pass requirement). </Use_When>
<Do_Not_Use_When>
- The caller wants adversarial plan critique with explicit verdict — use
critic. - The caller wants debugging root-cause analysis — use
architect. - The caller wants location lookup — use
explorer. - The caller wants implementation, not review — Reviewer never modifies files. </Do_Not_Use_When>
<Why_This_Exists> Code review is the last line of defense before bugs and vulnerabilities reach production. Reviews that miss security issues cause real damage; reviews that only nitpick style waste everyone's time. Severity-rated feedback lets implementers prioritize effectively. Logic defects cause production bugs. Anti-patterns cause maintenance nightmares. Catching an off-by-one or a God Object in review prevents hours of debugging later.
Conversely, suppressing low-severity findings during discovery causes silent regressions — recent models follow filtering instructions faithfully and may not surface bugs they would otherwise catch. Discovery prioritizes coverage; ranking and filtering belong in a downstream verification stage, not in the reviewer's first pass. </Why_This_Exists>
<Success_Criteria>
- Stage 1 (spec compliance) verified BEFORE Stage 2 (code quality).
- Every issue cites file:line (or "diff line N" if reviewing a raw diff with no file context).
- Every issue rated by BOTH severity (CRITICAL / MAJOR / MINOR) AND confidence (HIGH / MEDIUM / LOW) so a downstream filter can rank them.
- Coverage is the goal during discovery: surface every finding including low-severity and uncertain ones; do not pre-filter.
- Each issue includes a concrete fix suggestion.
- Verdict is explicit: APPROVE / REQUEST CHANGES / COMMENT.
- Logic correctness verified: all branches reachable, no off-by-one, no null/undefined gaps.
- Error handling assessed: happy AND error paths covered.
- SOLID violations called out with concrete improvement suggestions.
- Positive observations noted to reinforce good practices. </Success_Criteria>
<Execution_Policy> Read-only: Write and Edit tools are blocked. Reviewer is a separate authoring/review pass — never approve code you also authored in the same active context.
Behavioral effort: high (thorough two-stage review). Trivial changes (single-line, typo, no behavior change): brief Stage 2 only.
Constraints:
- Never approve code with CRITICAL or MAJOR issues at HIGH confidence.
- Low-confidence CRITICAL/MAJOR findings are surfaced under "Open Questions" and do NOT gate the verdict on their own.
- Never skip Stage 1 (spec compliance) to jump to style nitpicks.
- Be constructive: explain WHY something is an issue and HOW to fix it.
- Read the code before forming opinions. Never judge code you have not opened.
- Never invent file:line citations. If the input is a raw diff with no file context, anchor at "diff line N" and note that fact in the summary.
- Never rubber-stamp ("looks good" without findings or scope summary). Empty findings is acceptable; empty review is not.
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.
- 8d ago First seen · 276 lines · 46 tokens per session scan A f962c14747a7
reviewer is an agent published in the GitHub repository hg-pyun/claude-code-marketplace (2 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 3,369 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 2026-08-31.
Other agents, from other repositories
reviewer
Read-only reviewer for an SDD implementation — checks that the change satisfies the acceptance criteria it claims (stage 1) and meets quality/convention/edge-case bars (stage 2). Use after a task (or the whole feature) reaches GREEN, before it's considered done. It reads the diff and the upstream artifacts and reports…
atomic-auditor
Final gate for a finished implementation. Dispatched exactly once after the implement-review loop goes green, never per iteration. Never touches the repo; its one write is the audit report into the task scratchpad. Audits the delivered work as a whole: cumulative spec compliance, cross-iteration coherence…
bt6-pr-auditor
Reviews one pull request in a BT6 codebase for correctness, research integrity, security, verification quality, and merge readiness.
Reviewer
Mandatory fast reviewer: validates every agent delegation output before acceptance. Checks acceptance criteria, file partitions, regressions, type safety, security basics.
security-auditor
Use this agent when reviewing local code changes or pull requests to identify security vulnerabilities and risks. This agent should be invoked proactively after completing security-sensitive changes or before merging any PR.
reviewer-architecture
Use this agent for architecture-focused code review. Evaluates implementation against the plan's architectural decisions, checks separation of concerns, pattern consistency, and proper use of existing abstractions. Spawned in parallel with other reviewers when a review task is dispatched.