Borrowing it
Nothing to install: this file belongs to realactivity/tula. 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/realactivity/tula/main/AGENTS.mdgit clone --depth 1 https://github.com/realactivity/tulaWrote 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/realactivity/tula/agents-md)<a href="https://agentmods.dev/instructions/realactivity/tula/agents-md"><img src="https://agentmods.dev/badge/instructions/realactivity/tula/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/realactivity/tula/agents-md"><img src="https://agentmods.dev/badge/instructions/realactivity/tula/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 | $0.02475 | $0.02475 |
| Opus 5.5 | $0.00990 | $0.00990 |
| Sonnet 5.5 | $0.00495 | $0.00495 |
| Haiku 4.5 | $0.00248 | $0.00248 |
Grade A, and why
tula 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 20d 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - Tula repo guide for coding agents
You are working in realactivity/tula: the open-source Tula skill and eval repo. Read this file first. It is the canonical orientation for Cursor, Copilot, Codex, Claude Code, and other repo-scoped coding agents.
Not the same file as:
skills/AGENTS.md- how to author OpenClaw skillsdocs/agent/AGENTS.md- runtime workspace playbook on a deployed VM (~/.openclaw/workspace/). Do not copy that file here.
What Tula is (30 seconds)
Tula is a personal health intelligence agent built on OpenClaw. Skills run on a self-hosted VM; health data stays in the user's workspace. This repo ships skills, Waza eval suites, deploy scripts, and the Patient Agent Eval Standard v0.1 (forkable by any patient-facing agent vendor).
Think of Tula as the patient-side equivalent of Microsoft's Scout, built on the same OpenClaw runtime: RealActivity governs the patient agent the way Microsoft governs the workforce agent. Positioning: Microsoft Just Validated Our Architecture.
Watch first:
- YouTube live demo (~16 min) - Epic MyChart at 10:00
- Video guide - both videos, share copy, next steps
- Podcast interview (~17 min)
Fork the eval standard: evals/README.md (78 tasks, 8
skills + composition bundle). Article:
articles/how-will-you-know-if-your-patient-ai-is-working.md.
Repo map
| Path | What lives here |
|---|---|
skills/ |
OpenClaw skills (core product). Each skill: SKILL.md, references/, scripts/ |
evals/ |
Waza eval suites per skill + composition bundle + _templates/ |
docs/ |
Architecture, deploy guide, eval status, build spec, runtime agent templates |
apps/ |
My Tula patient portal UI; SMART Health Check-in web wallet |
services/wren/ |
Self-hostable SMART on FHIR records relay |
scripts/ |
CI gates, deploy-skills, backup, eval runners |
templates/ |
Tenant onboarding placeholders ({{UPPER_SNAKE}}) |
articles/ |
Published technical writing |
results/ |
Gitignored live eval JSON snapshots (optional publish) |
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.
- 20d ago Changed · +1 lines · +31 tokens per session 638ce091efbc
- 2mo ago First seen · 234 lines · 2,444 tokens per session scan A 4bdb32036337
tula AGENTS.md is an instructions file published in the GitHub repository realactivity/tula (47 stars, last pushed 20d ago), licensed Apache-2.0. It adds 2,475 tokens to every session, about $0.0099 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 2026-08-30.
tula AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tula AGENTS.mdrealactivity/tula | Instructions file | 47 | 20d ago | Apache-2.0 | A | 2,475 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |