openai-search-mcp: Agent for Claude Code

.claude/agents/check.md

check is an agent for Claude Code from lie5860/openai-search-mcp. It costs 18 tokens per session (702 once invoked), scanned A, a copy of check, MIT.

A code-review agent that compares uncommitted changes with the project’s written rules and checks for missing types, bugs, and style problems.

In plain words
What is it for?
Use it to review changed files, apply project-specific conventions, fix detected issues, and run the project’s lint and type-check commands.
Why use it?
It helps catch quality issues before code is committed. When it finds a problem, it fixes the code and verifies the result with linting and type checks.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is lie5860/openai-search-mcp's own configuration. It tells Claude Code how to work on openai-search-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything openai-search-mcp configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/lie5860/openai-search-mcp/main/.claude/agents/check.md
Clone the repo
git clone --depth 1 https://github.com/lie5860/openai-search-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for check

README.md
[![agentmods](https://agentmods.dev/badge/agents/lie5860/openai-search-mcp/check.svg)](https://agentmods.dev/agents/lie5860/openai-search-mcp/check)
Your own site
<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>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 702 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 8d ago against content hash 7c7400e7ea8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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.

Origin

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.

.claude/agents/check.md · 123 lines

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

  1. Get code changes - Use git diff to get uncommitted code
  2. Check against specs - Verify code follows guidelines
  3. Self-fix - Fix issues yourself, not just report them
  4. 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:

  1. Fix the issue directly (use edit tool)
  2. Record what was fixed
  3. 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 passes
  • LINT_FINISH - After lint passes
  • CODEREVIEW_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.

Read the full file on GitHub · 123 lines

Changes

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.

  1. 8d ago First seen · 123 lines · 18 tokens per session scan A 7c7400e7ea8b

Subscribe to this mod's changes

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.

Related

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…

genkovich/sdd · 81 tokens

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…

damusix/atomic-claude · 169 tokens

bt6-pr-auditor

Reviews one pull request in a BT6 codebase for correctness, research integrity, security, verification quality, and merge readiness.

elder-plinius/T3MP3ST · 32 tokens

Reviewer

Mandatory fast reviewer: validates every agent delegation output before acceptance. Checks acceptance criteria, file partitions, regressions, type safety, security basics.

monkilabs/opencastle · 30 tokens

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.

NeoLabHQ/context-engineering-kit · 40 tokens

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.

HirogaKatageri/hirokata · 56 tokens