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/cacheplane/dawnai/agents-mdgit clone --depth 1 https://github.com/cacheplane/dawnaiWhat 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 | $0.03383 | $0.03383 |
| Opus 5 | $0.01691 | $0.01691 |
| Sonnet 5 | $0.00677 | $0.00677 |
| Haiku 4.5 | $0.00338 | $0.00338 |
Grade A, and why
dawnai 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 2d 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Standards for anyone — human or coding agent — working in this repository: the workspace map, the Definition of Done, and the conventions that keep changes consistent.
What this is (and isn't)
This is the repo-root contributor/agent standards doc — how to find your
way around the Dawn monorepo, what "done" means for a change, and the rules
that keep the codebase consistent. It's the canonical entrypoint; see
Cross-links for how it relates to CONTRIBUTING.md and
CONTRIBUTORS.md.
This is not the runtime workspace/AGENTS.md capability. Dawn ships a
built-in capability
(packages/core/src/capabilities/built-in/agents-md.ts) that auto-injects the
contents of an app's <appRoot>/workspace/AGENTS.md into that agent's
system prompt as its persistent "# Memory" — re-read every turn, updated by
the agent itself via writeFile. That's an end-user Dawn app feature,
documented at dawnai.org/docs/memory. The
name collision is real: this file (repo root, for contributors) and that file
(inside a generated app's workspace/, for the agent at runtime) share a
filename but nothing else. If you're looking for the runtime feature, this
isn't it.
Workspace map
Every packages/* directory is a pnpm workspace member (verify: pnpm -r list --depth -1). One-line purpose is each package's own README.md first line.
Core framework
| Package | Purpose |
|---|---|
@dawn-ai/sdk |
The author-facing TypeScript SDK — agent(), defineMiddleware(), allow()/reject(), and the type primitives the CLI consumes. |
@dawn-ai/core |
Filesystem-based route discovery, app config loading, state-field resolution, and typegen primitives that the Dawn CLI builds on. |
@dawn-ai/cli |
The dawn CLI — local HMR dev runtime, route execution, validation, typegen, and the build step that produces LangSmith deployment artifacts. |
@dawn-ai/langgraph |
LangGraph runtime adapters and route module contracts (graphAdapter, workflowAdapter, defineEntry) used by the CLI. |
@dawn-ai/langchain |
LangChain backend adapters — materializes chain routes and provider-aware agent routes (tool conversion, streaming, retry). |
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.
- 2d ago First seen · 223 lines · 3,383 tokens per session scan A a7acf12fad0c
dawnai AGENTS.md is an instructions file published in the GitHub repository cacheplane/dawnai (329 stars, last pushed 3d ago), licensed MIT. It adds 3,383 tokens to every session, about $0.0169 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
deepagents AGENTS.md
Instructions for langchain-ai/deepagents, covering global development guidelines for the deep agents monorepo, corridor security analysis, development workflow, suppressing ruff rules and pr conventions.
AI-System-Design-Consultant CLAUDE.md
Instructions for deepanshu2711/AI-System-Design-Consultant, covering claude.md, what this is, running it, load-bearing typos — do not "fix" these paths and agent node pattern.
Dingent AGENTS.md
Instructions for Dingent/Dingent, covering dingent agentic coding instructions (agents.md), 1. project context & architecture, 2. environment & commands, prerequisites and build & run.
idun-agent-platform CLAUDE.md
Claude Code instructions for Idun-Group/idun-agent-platform, covering claude.md, project overview, constitution, repository map and quick commands.
haive CLAUDE.md
Instructions for pr1m8/haive, covering claude.md - haive agent framework, project context, guides & documentation, agent design (new — 2026-04-06) and architecture.
Dingent CLAUDE.md
Instructions for Dingent/Dingent, covering gitnexus — code intelligence, always do, never do, resources and cli.