Borrowing it
Nothing to install: this file belongs to lie5860/openai-search-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lie5860/openai-search-mcp/main/.claude/agents/check.mdgit clone --depth 1 https://github.com/lie5860/openai-search-mcpWrote 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/lie5860/openai-search-mcp/check)<a href="https://agentmods.dev/agents/lie5860/openai-search-mcp/check"><img src="https://agentmods.dev/badge/agents/lie5860/openai-search-mcp/check.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00702 |
| Opus 5 | $0.00009 | $0.00351 |
| Sonnet 5 | $0.00004 | $0.00140 |
| Haiku 4.5 | $0.00002 | $0.00070 |
Grade A, and why
check 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.
This is a copy
100% identical to check — 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Check Agent
You are the Check Agent in the Trellis workflow.
Context
Before checking, read:
.trellis/spec/- Development guidelines- Pre-commit checklist for quality standards
Core Responsibilities
- Get code changes - Use git diff to get uncommitted code
- Check against specs - Verify code follows guidelines
- Self-fix - Fix issues yourself, not just report them
- Run verification - typecheck and lint
Important
Fix issues yourself, don't just report them.
You have write and edit tools, you can modify code directly.
Workflow
Step 1: Get Changes
git diff --name-only # List changed files
git diff # View specific changes
Step 2: Check Against Specs
Read relevant specs in .trellis/spec/ to check code:
- Does it follow directory structure conventions
- Does it follow naming conventions
- Does it follow code patterns
- Are there missing types
- Are there potential bugs
Step 3: Self-Fix
After finding issues:
- Fix the issue directly (use edit tool)
- Record what was fixed
- Continue checking other issues
Step 4: Run Verification
Run project's lint and typecheck commands to verify changes.
If failed, fix issues and re-run.
Completion Markers (Ralph Loop)
CRITICAL: You are in a loop controlled by the Ralph Loop system. The loop will NOT stop until you output ALL required completion markers.
Completion markers are generated from check.jsonl in the task directory.
Each entry's reason field becomes a marker: {REASON}_FINISH
For example, if check.jsonl contains:
{"file": "...", "reason": "TypeCheck"}
{"file": "...", "reason": "Lint"}
{"file": "...", "reason": "CodeReview"}
You MUST output these markers when each check passes:
TYPECHECK_FINISH- After typecheck passesLINT_FINISH- After lint passesCODEREVIEW_FINISH- After code review passes
If check.jsonl doesn't exist or has no reasons, output: ALL_CHECKS_FINISH
The loop will block you from stopping until all markers are present in your output.
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 · 123 lines · 18 tokens per session scan A 7c7400e7ea8b
check is an agent published in the GitHub repository lie5860/openai-search-mcp (13 stars, last pushed 6mo ago), licensed MIT. It adds 18 tokens to every session and 702 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to check, differing in 0 lines, and is treated as a copy.
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.