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.
npx agentmods add instructions/toolsdk-ai/toolsdk-mcp-registry/agents-mdgit clone --depth 1 https://github.com/toolsdk-ai/toolsdk-mcp-registryWrote 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/toolsdk-ai/toolsdk-mcp-registry/agents-md)<a href="https://agentmods.dev/instructions/toolsdk-ai/toolsdk-mcp-registry/agents-md"><img src="https://agentmods.dev/badge/instructions/toolsdk-ai/toolsdk-mcp-registry/agents-md.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 | $0.00204 | $0.00204 |
| Opus 5 | $0.00102 | $0.00102 |
| Sonnet 5 | $0.00041 | $0.00041 |
| Haiku 4.5 | $0.00020 | $0.00020 |
Grade A, and why
toolsdk-mcp-registry AGENTS.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 6d 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
Registry Agent Instructions
When reviewing or merging registry pull requests, follow docs/PR_REVIEW.md.
Use .agents/skills/check-mcp-json/SKILL.md for the reusable review, repair, and squash-merge
workflow and its read-only helper scripts.
- Use the validator from the trusted
mainbranch to inspect pull request JSON. Do not execute scripts from a contributor branch. - Never install or run an MCP package submitted by a pull request.
- Never merge, enable auto-merge, close, comment on, or modify a pull request without the user authorizing that specific action.
- Before an approved merge, refresh the pull request state and validation result.
- Use squash merge. Never bypass checks with
--admin. - Review pull requests in parallel when useful. PRs with pairwise-disjoint changed paths and
registry identities may submit squash merges concurrently; retry GitHub's transient
Base branch was modifiedrejection after another merge lands.
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.
- 6d ago First seen · 17 lines · 204 tokens per session scan A d955882bc87d
toolsdk-mcp-registry AGENTS.md is an instructions file published in the GitHub repository toolsdk-ai/toolsdk-mcp-registry (186 stars, last pushed 9d ago), licensed MIT. It adds 204 tokens to every session, about $0.0010 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 2026-08-30.
Other instructions, from other repositories
claude-code-discord AGENTS.md
Instructions for zebbern/claude-code-discord, covering agents guidelines, presentation & ux, knowledge freshness & research preferences, testing & verification preferences and real runs over green mocks.
awesome-mcp-servers CLAUDE.md
Claude Code instructions for Sagargupta16/awesome-mcp-servers, covering claude.md, project, stack, run and test.
awesome-ai-conventions copilot-instructions.md
Copilot instructions for GuilhermeAlbert/awesome-ai-conventions: This project prefers direct, maintainable code over broad abstractions.
awesome-quant AGENTS.md
AGENTS.md instructions for wilsonfreitas/awesome-quant, covering agents.md, project overview, architecture, work tracking and planning and commands.
awesome-ai-scientists CLAUDE.md
Instructions for natnew/awesome-ai-scientists, covering claude.md, north star, resolver — load per task, first-pass workflow and stop conditions.
awesome-qa-skills AGENTS.md
AGENTS.md instructions for naodeng/awesome-qa-skills, covering agents.md, project overview, repository map (edit here), skill.md conventions and agents/openai.yaml.