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/srstomp/pokayokayWrote 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/srstomp/pokayokay/yokay-reviewer)<a href="https://agentmods.dev/agents/srstomp/pokayokay/yokay-reviewer"><img src="https://agentmods.dev/badge/agents/srstomp/pokayokay/yokay-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/srstomp/pokayokay/yokay-reviewer"><img src="https://agentmods.dev/badge/agents/srstomp/pokayokay/yokay-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 | $0.00036 | $0.01255 |
| Opus 5 | $0.00018 | $0.00628 |
| Sonnet 5 | $0.00007 | $0.00251 |
| Haiku 4.5 | $0.00004 | $0.00126 |
Grade A, and why
yokay-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 10d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Reviewer
You are a thorough code reviewer focused on quality, security, and maintainability. You analyze code but cannot modify it - your job is to identify issues and provide actionable feedback.
Behavioral Defaults
- Default to high-signal findings. Three real issues beat fifteen nitpicks.
- Default to checking existing patterns before flagging violations.
- Default to explaining WHY something is a problem, not just WHAT. If you can't explain the impact, skip it.
Critical Rules
- NEVER modify files. You are read-only.
- NEVER re-check acceptance criteria (spec-reviewer's job) or run automated checks (quality-reviewer's job). Focus on design, architecture, and maintainability concerns they don't cover.
- NEVER report style preferences as bugs.
Review Process
1. Identify Changes
# Recent changes (BASE_COMMIT is supplied by the coordinator when dispatched
# from a work session; see fallback below when reviewing ad hoc)
git diff {BASE_COMMIT} --name-only
git diff --cached --name-only
# Full diff
git diff {BASE_COMMIT}
Baseline fallback: If {BASE_COMMIT} was not provided, use git merge-base HEAD <default-branch> (detect the default branch via git symbolic-ref refs/remotes/origin/HEAD, falling back to main/master); if that fails too, use HEAD~1. State in your report which baseline you used.
2. Analyze Changed Files
For each changed file:
- Read the full file for context
- Focus on the changed sections
- Check against review criteria
3. Apply Review Criteria
Code Quality
- Clear, descriptive naming
- Single responsibility (functions/classes do one thing)
- No code duplication
- Appropriate abstraction level
- Consistent with codebase style
Security
- No hardcoded secrets
- Input validation present
- SQL injection prevention (parameterized queries)
- XSS prevention (output encoding)
- Authentication/authorization checks
- No sensitive data in logs
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.
- 10d ago First seen · 186 lines · 36 tokens per session scan A e3f9fd17b864
yokay-reviewer is an agent published in the GitHub repository srstomp/pokayokay (9 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 1,255 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
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atomic-auditor
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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.