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/cotal-ai/cotal/agents-mdgit clone --depth 1 https://github.com/Cotal-AI/CotalWrote 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/cotal-ai/cotal/agents-md)<a href="https://agentmods.dev/instructions/cotal-ai/cotal/agents-md"><img src="https://agentmods.dev/badge/instructions/cotal-ai/cotal/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 | $0.03593 | $0.03593 |
| Opus 5 | $0.01796 | $0.01796 |
| Sonnet 5 | $0.00719 | $0.00719 |
| Haiku 4.5 | $0.00359 | $0.00359 |
Grade A, and why
Cotal 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 5d 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for any coding agent (Claude Code, OpenCode, Codex, Cursor, and others) working in
this repo. This is the canonical agent guide; CLAUDE.md points here.
Keep your answers short and to the point.
What this is
Cotal is a standard wire interface for software, especially AI agents, to coordinate in real time. The wire contract (subjects, message schemas, presence/discovery conventions) is the standard; libraries are thin clients over it. Transport is NATS + JetStream; the reference implementation is TypeScript.
Thin waist, real substance, guarded core:
- Thin waist — the normative wire contract (subjects, schemas, presence/discovery, delivery semantics, the owner+actor auth grammar) is the standard.
- Pluggable edges — identity, transport, storage, secrets, discovery, payments are adapters over existing building blocks. Compose, don't reinvent (e.g. any OIDC IdP plugs in via a thin auth-callout adapter).
- Not hollow — the substance is the contract and its guarantees, the reference implementation, and the local operator tooling; not a bare shim.
- Guard the core — keep adapters thin and swappable, and never let an adapter's or example's
concepts leak into
@cotal-ai/coreor the shared layers.
Read these first
- README.md: what Cotal is, for a general audience.
- docs/README.md: the docs index and reading path.
- docs/what-is-cotal.md (what it does) → docs/architecture.md (how) → docs/connect-claude.md (the connector).
- SPEC.md: the normative wire contract. Where a client disagrees with the spec,
the spec wins. spec/cotal-lang.md is the normative reference for the
workflow language (SPEC §14); every
jsblock in it is validated bypnpm smoke:lang-surface. .internal/(private submodule): working build-plans, research, and guidelines. Make sure it is current before changing behavior.
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.
- 5d ago First seen · 208 lines · 3,593 tokens per session scan A 4e62784f0c8b
Cotal AGENTS.md is an instructions file published in the GitHub repository Cotal-AI/Cotal (258 stars, last pushed today), licensed Apache-2.0. It adds 3,593 tokens to every session, about $0.0180 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
Bindu copilot.instructions.md
Copilot instructions for GetBindu/Bindu, covering bindu codebase patterns, tech stack, anti-redundancy rules, source of truth locations and settings (bindu/settings.py).
Bindu AGENTS.md
AGENTS.md instructions for GetBindu/Bindu, covering agents.md, repo orientation, useful commands, python core and run the core.
agentarea AGENTS.md
AGENTS.md instructions for agentarea/agentarea, covering agents.md, where to look, structure, commands and backend (from agentarea-platform/).
Bindu CLAUDE.md
Claude Code instructions for GetBindu/Bindu, covering project: bindu - decentralized agent framework, critical context (read first), what is bindu?, commands that work and python core development.
systemprompt-template CLAUDE.md
Claude Code instructions for systempromptio/systemprompt-template, covering claude.md, enterprise demo, branching & release flow, building against local core (next tracks next) and quick start.
systemprompt-template AGENTS.md
AGENTS.md instructions for systempromptio/systemprompt-template, covering agents.md — systemprompt-template, what this is, try it, where things live and governance pipeline.