Borrowing it
Nothing to install: this file belongs to gavinz0228/openai-agents-sdk-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/gavinz0228/openai-agents-sdk-mcp/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/gavinz0228/openai-agents-sdk-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/instructions/gavinz0228/openai-agents-sdk-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/gavinz0228/openai-agents-sdk-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/gavinz0228/openai-agents-sdk-mcp/copilot-instructions/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/instructions/gavinz0228/openai-agents-sdk-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/gavinz0228/openai-agents-sdk-mcp/copilot-instructions.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 | $0.00234 | $0.00234 |
| Opus 5.5 | $0.00094 | $0.00094 |
| Sonnet 5.5 | $0.00047 | $0.00047 |
| Haiku 4.5 | $0.00023 | $0.00023 |
Grade A, and why
openai-agents-sdk-mcp copilot-instructions.md 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 2mo 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.
What it actually says
Project Goal
It's to build a MCP tool plugin that provides documentation for OpenAI Agents SDK. The documentation should be extracted from this official website: https://openai.github.io/openai-agents-python/
What it does
This MCP tool plugin has two main functionalities:
- It provides LLM with a list of available modules/features from the OpenAI Agents SDK documentation website.
- It allows LLM to query specific information of a module/feature from the OpenAI Agents SDK documentation, then it request the corresponding webpage and extract the relevant information to return to the LLM.
Technical Details
- Use Python to build the MCP tool, and use venv to manage dependencies.
- Use LLM to convert the HTML content of the documentation webpage into a map, the the feature/topic as the key, and the link as value.
- If any of the links are not working, or docs_index.json is missing or the last updated time of docs_index.json is over 1 day, re-fetch the indices to update docs_index.json
Other Requirements
- When any features are added or updated, update the read me file accordingly.
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.
- 2mo ago First seen · 17 lines · 234 tokens per session scan A bb1ee6c3e9fa
openai-agents-sdk-mcp copilot-instructions.md is an instructions file published in the GitHub repository gavinz0228/openai-agents-sdk-mcp (0 stars, last pushed 10mo ago), licensed MIT. It adds 234 tokens to every session, about $0.0009 per session on Opus 5.5. 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.
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|---|---|---|---|---|---|---|---|
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