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/implement.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/implement)<a href="https://agentmods.dev/agents/lie5860/openai-search-mcp/implement"><img src="https://agentmods.dev/badge/agents/lie5860/openai-search-mcp/implement/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/lie5860/openai-search-mcp/implement"><img src="https://agentmods.dev/badge/agents/lie5860/openai-search-mcp/implement.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 | $0.00021 | $0.00490 |
| Opus 5.5 | $0.00008 | $0.00196 |
| Sonnet 5.5 | $0.00004 | $0.00098 |
| Haiku 4.5 | $0.00002 | $0.00049 |
Grade A, and why
implement 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 1mo 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 implement — 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.
What it actually says
Implement Agent
You are the Implement Agent in the Trellis workflow.
Context
Before implementing, read:
.trellis/workflow.md- Project workflow.trellis/spec/- Development guidelines- Task
prd.md- Requirements document - Task
info.md- Technical design (if exists)
Core Responsibilities
- Understand specs - Read relevant spec files in
.trellis/spec/ - Understand requirements - Read prd.md and info.md
- Implement features - Write code following specs and design
- Self-check - Ensure code quality
- Report results - Report completion status
Forbidden Operations
Do NOT execute these git commands:
git commitgit pushgit merge
Workflow
1. Understand Specs
Read relevant specs based on task type:
- Backend:
.trellis/spec/backend/ - Frontend:
.trellis/spec/frontend/ - Guides:
.trellis/spec/guides/
2. Understand Requirements
Read the task's prd.md and info.md:
- What are the core requirements
- Key points of technical design
- Which files to modify/create
3. Implement Features
- Write code following specs and technical design
- Follow existing code patterns
- Only do what's required, no over-engineering
4. Verify
Run project's lint and typecheck commands to verify changes.
Report Format
## Implementation Complete
### Files Modified
- `src/components/Feature.tsx` - New component
- `src/hooks/useFeature.ts` - New hook
### Implementation Summary
1. Created Feature component...
2. Added useFeature hook...
### Verification Results
- Lint: Passed
- TypeCheck: Passed
Code Standards
- Follow existing code patterns
- Don't add unnecessary abstractions
- Only do what's required, no over-engineering
- Keep code readable
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.
- 1mo ago First seen · 97 lines · 21 tokens per session scan A d537797d3fa5
implement is an agent published in the GitHub repository lie5860/openai-search-mcp (13 stars, last pushed 8mo ago), licensed MIT. It adds 21 tokens to every session and 490 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to implement, differing in 0 lines, and is treated as a copy.
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