Borrowing it
Nothing to install: this file belongs to openEHR/ai-plugins. 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/openEHR/ai-plugins/main/AGENTS.mdgit clone --depth 1 https://github.com/openEHR/ai-pluginsWrote 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/openehr/ai-plugins/agents-md)<a href="https://agentmods.dev/instructions/openehr/ai-plugins/agents-md"><img src="https://agentmods.dev/badge/instructions/openehr/ai-plugins/agents-md/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/openehr/ai-plugins/agents-md"><img src="https://agentmods.dev/badge/instructions/openehr/ai-plugins/agents-md.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 | $0.01915 | $0.01915 |
| Opus 5.5 | $0.00766 | $0.00766 |
| Sonnet 5.5 | $0.00383 | $0.00383 |
| Haiku 4.5 | $0.00192 | $0.00192 |
Grade A, and why
ai-plugins 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ai-plugins
AI-assistant plugins for openEHR — official plugin marketplace of the openEHR Foundation.
Repository Purpose
This repo contains AI-assistant plugins that support openEHR work — packaged as a dual Claude Code and Cursor plugin marketplace; the skill content (SKILL.md, an open cross-tool format) is the canonical artifact, and each assistant gets a thin manifest layer (.claude-plugin/, .cursor-plugin/) around the same skills, so further assistants can be added the same way. It is not a specification repository — it provides AI-assisted tooling for authors working in specifications-XX repos.
Structure
ai-plugins/
├── .claude-plugin/marketplace.json # Claude Code marketplace manifest
├── .cursor-plugin/marketplace.json # Cursor marketplace manifest
├── docs/ # Contributor and user documentation
├── scripts/validate.py # Manifest, frontmatter and template-set validation (CI)
├── scripts/test_scaffold.py # Unit tests for the scaffold skill's script (CI)
├── scripts/test_check_bmm.py # Unit tests for the bmm-authoring skill's checker (CI)
├── CHANGELOG.md # Release notes per plugin
└── plugins/<plugin-name>/ # One directory per plugin
├── .claude-plugin/plugin.json # Claude Code plugin manifest
├── .cursor-plugin/plugin.json # Cursor plugin manifest
├── README.md # Plugin purpose, install, and component inventory
├── skills/<skill-name>/ # Knowledge/workflow skills; user-only actions set disable-model-invocation: true
│ ├── SKILL.md # Skill definition (YAML frontmatter + body)
│ ├── references/ # Optional supplementary content
│ └── assets/, scripts/ # Optional bundled templates and scripts (see `scaffold`)
└── agents/<agent>.md # Autonomous subagents (context-isolated, multi-file)
Current plugins: openehr-specs (skills, including user-only action skills, and subagents). plugins/openehr-specs/README.md is its inventory: update it, the root README.md, and the skill and subagent names in docs/prompting-guide.md, whenever a component is added, removed, or renamed. validate.py checks none of them.
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.
- 7d ago Changed · +2 lines · +190 tokens per session 889072edc4eb
- 9d ago Changed · +4 lines · +361 tokens per session f861adea64b4
- 1mo ago First seen · 73 lines · 1,364 tokens per session scan A 20381bd98f9e
ai-plugins AGENTS.md is an instructions file published in the GitHub repository openEHR/ai-plugins (3 stars, last pushed yesterday), licensed Apache-2.0. It adds 1,915 tokens to every session, about $0.0077 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).