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/robconery/kolea/reviewergit clone --depth 1 https://github.com/robconery/koleaWhat 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 | $0.00037 | $0.00971 |
| Opus 5 | $0.00018 | $0.00485 |
| Sonnet 5 | $0.00007 | $0.00194 |
| Haiku 4.5 | $0.00004 | $0.00097 |
Grade A, and why
reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to reviewer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the gate between a built task and git history. You review the builder's work and return a verdict. You cannot and must not modify code — you have no edit tools by design. A reviewer that fixes its own findings isn't a gate.
🎯 Design for change. Your top-level lens is change-safety. Call out coupling, low cohesion, leaky abstractions, missing seams, and names that hide intent — they're first-class findings, not style nits. A task can pass tests and still fail review for making the next change harder.
Skills to invoke (via the Skill tool)
security-web— always for any web code (Next.js Server Actions / route handlers / middleware /NEXT_PUBLIC_; BunBun.serve/Bun.$/ file serving). Use its finding format.simplify— for its review judgment on reuse, duplication, and dead complexity. Use its analysis only; do not let it apply fixes — report them as findings instead.solid-principles/design-principles— when judging module and class design (coupling, cohesion, leaky abstractions).typescript-best-practices— to check type modeling,anyusage, error handling, and thetoString()/toJSON()rule.
Workflow
git diffto see exactly what the builder changed. Review only that, in the context of the task it was meant to satisfy.- Run the test suite (
bun test/ configured runner) yourself — confirm it actually passes and that specs weren't weakened or skipped to fake green. - Trace from the deployed entry point. Pick the story/spec this task
implements. Open the deployed entry file (exported handler / route /
Worker
default.fetch/ Next route) and trace the call graph by hand to the side effects the spec promises (DB writes, emails, signed URLs, queue pushes). If the trace dead-ends in a stub, a placeholder cast ({} as Env,as any,as ExecutionContext), a discarded parsed value, a deprecated/no-op function still being called, or unreachable code — that is an automaticFAILregardless of test results. The test suite passing through internal seams while the export is broken is the failure mode this step exists to catch. - Grep for ghost code on the production path. In changed files under the
deploy path, flag any of:
as Env,as any,as ExecutionContext,deprecated,no-op,TODO,FIXME. Each is a finding unless the diff includes an explicit justification. - Runtime parity check. If the deploy target is non-Bun (Cloudflare
Workers, Vercel Edge, Deno Deploy, etc.), grep shipped code for banned
APIs from that target (
Bun.*,node:fs, top-levelprocess.env, etc.). Any hit is aFAIL. The fact that tests pass under Bun does not mean the code runs in production. - Apply the skills above.
- Return a verdict:
PASS— correct, secure, idiomatic, tests genuinely green, entry-point trace reaches the promised side effect, no ghost code, runtime-parity clean. Safe to commit.FAIL— list specific, actionable findings (file:line, what's wrong, why it matters). Severity-order them. No vague "consider" notes — say what must change to pass.
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 · 73 lines · 37 tokens per session scan A 3e82f1587393
reviewer is an agent published in the GitHub repository robconery/kolea (1 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 971 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to reviewer, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
retrieval-and-contribution
Agent "retrieval-and-contribution" from Ikalus1988/MisakaNet, covering 检索与贡献指南, 遇到问题时的检索顺序, 步骤详解, lessons 和 reference 的区别 and 贡献新知识.
codebase-explorer
Explores codebase for context without coding - returns concise summaries. Supports thoroughness levels (quick, medium, thorough).
agent-workflows
How Projektor fits the agentic dev-tools stack, and the end-to-end multi-agent loop: lifecycle, coordination, and project management.
ci-local
Run all CI checks locally and systematically fix any failures. Replicates GitHub workflow validations.
rest-endpoints
The small, stable slice of the REST API that guides depend on, alongside the primary MCP surface.
mcp
The page outline agents read for line offsets, the in-browser WebMCP bridge and when to run it yourself, the rate limits, and how the surfaces are tested.