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/adelinamart/robrain/agents-mdgit clone --depth 1 https://github.com/adelinamart/robrainWrote 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/adelinamart/robrain/agents-md)<a href="https://agentmods.dev/instructions/adelinamart/robrain/agents-md"><img src="https://agentmods.dev/badge/instructions/adelinamart/robrain/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 | $0.00247 | $0.00247 |
| Opus 5 | $0.00123 | $0.00123 |
| Sonnet 5 | $0.00049 | $0.00049 |
| Haiku 4.5 | $0.00025 | $0.00025 |
Grade A, and why
robrain 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 4d 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
RoBrain — Context Management (OSS self-hosted)
This project uses RoBrain Sensing MCP for passive session capture. Control MCP is not available in OSS self-hosted mode. Call Sensing tools exactly as instructed to maintain session memory.
Session start (mandatory, first thing in every new chat)
sensing_start_session(project_id="5a8ff3c609de")
Use the session_id from the tool response (or pass your own unique id per chat). Initialize sequence=1 before your first reply.
After every response (mandatory)
sensing_record_turn(session_id="<stored session_id>", sequence=<n>, user_message="<full user message>", claude_reply="<full assistant reply>", files_touched=[...], injected_memory_ids=[])
The claude_reply parameter is the MCP field name for your full assistant reply (any editor).
Increment sequence by 1 after each successful call.
If topic_shift=true is returned, note it for follow-up context retrieval.
Session end (last thing)
sensing_end_session(session_id="<stored session_id>", summary="one sentence: what was accomplished")
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.
- 4d ago First seen · 29 lines · 247 tokens per session scan A 1590f0df7120
robrain AGENTS.md is an instructions file published in the GitHub repository adelinamart/robrain (81 stars, last pushed 29d ago), licensed Apache-2.0. It adds 247 tokens to every session, about $0.0012 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
Acontext AGENTS.md
Instructions for memodb-io/Acontext, covering acontext, navigation guide, plan-driven development, modules and rules.
framework AGENTS.md
AGENTS.md instructions for ai-driven-dev/framework, covering agents.md, behavior, communication, action and memory management.
mindkeg-mcp CLAUDE.md
Instructions for carloluisito/mindkeg-mcp, covering mind keg mcp — development guide for ai agents, project overview, repository layout, code conventions and typescript.
framework CLAUDE.md
Claude Code instructions for ai-driven-dev/framework, covering claude.md, behavior, communication, action and memory management.
brainvault CLAUDE.md
Instructions for SumithSB/brainvault, covering brainvault, key constraints, structure, install scope and running.
repomemory CLAUDE.md
Instructions for DanielGuru/repomemory, covering repomemory — agent instructions, repository memory (repomemory), what this is, architecture and key technical decisions.