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/crewplaneai/crewplane/agents-mdgit clone --depth 1 https://github.com/crewplaneai/crewplaneWhat 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 | $0.02548 | $0.02548 |
| Opus 5 | $0.01274 | $0.01274 |
| Sonnet 5 | $0.00510 | $0.00510 |
| Haiku 4.5 | $0.00255 | $0.00255 |
Grade A, and why
crewplane 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Canonical repository instructions for coding agents.
Use this file for repo-wide agent behavior. Use DEVELOPMENT.md for broader engineering context and maintenance notes. More specific AGENTS.md files in subdirectories override this file for their subtree.
Repo Facts
crewplane is a Python 3.13+ Typer CLI for running multi-agent workflows defined in Markdown. The core architectural rule is blackboard-style orchestration: providers do not coordinate through shared in-memory state; they communicate through artifacts written under .crewplane/.
Crewplane supports Linux, macOS, and WSL. Native Windows is not supported.
When changing behavior, preserve these properties:
- CLI-first provider integration. The project is built around external AI CLIs, not vendor SDKs.
- Auditable execution. Inputs, intermediate outputs, manifests, and results stay on disk as readable files.
- Explicit boundaries. Config loading, workflow parsing/composition, adapter resolution, provider invocation, runtime execution, artifacts, and observability are separated on purpose.
- Deterministic validation. New behavior should be covered by filesystem-local pytest tests, and mock-driven end-to-end checks should stay available.
Read First
README.md: short package and repository orientationdocs/index.md: full public user documentationDEVELOPMENT.md: human-facing setup, quality gates, repo layout, and local validation workflowsdocs/architecture/index.md: architecture entry point and ADR links
Repo Map
src/crewplane/cli/: Typer command surface, task/config path resolution, run orchestration, cleanup commands, scaffold templatessrc/crewplane/core/: config models, workflow schemas, Markdown parsing, workflow composition/imports, DAG validation, preflight compilation, schema version validationsrc/crewplane/architecture/: port contracts, integration loader, alias registry, adapter errorssrc/crewplane/bootstrap/: composition root that wires configured adapters into runtime componentssrc/crewplane/runtime/: provider invocation, retry/quota handling, parallel/sequential workflow executionsrc/crewplane/artifacts/: stage/result directories, manifests, generated files, locks, result writing, resume, workspace state, output accesssrc/crewplane/observability/: event model, runtime snapshots, rendering, tmux supportsrc/crewplane/adapters/: built-in invoker, UI, and artifact implementationssrc/crewplane/example_templates/: files used bycrewplane inittests/: CLI, config, workflow, runtime, observability, adapter, and architecture coverage
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 · 199 lines · 2,548 tokens per session scan A 2b818cd9595e
crewplane AGENTS.md is an instructions file published in the GitHub repository crewplaneai/crewplane (35 stars, last pushed 4d ago), licensed Apache-2.0. It adds 2,548 tokens to every session, about $0.0127 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
map-framework CLAUDE.md
Instructions for azalio/map-framework, covering map framework (mapify-cli) — agent instructions, what this repo is, critical invariant: template single-source render, skill catalog invariant and how to work in this repo.
intuitive-flow AGENTS.md
Instructions for MiaoDX/intuitive-flow, covering codex guide, environment, delegation and verification, development and testing and preferred skills and workflow routing.
gluon-agent CLAUDE.md
Instructions for carrotly-ai/gluon-agent, covering claude.md, what is gluon agent?, llm providers, docker operations and dev/test (build from source).
SubFrame CLAUDE.md
Instructions for Codename-11/SubFrame, covering subframe, core rule, architecture, tech stack and key modules.
codex-harness-javascript AGENTS.md
Instructions for thuandiep1707/codex-harness-javascript, covering codex multi-agent delivery system, system truths, public workflow registry vs internal capabilities, public workflows and internal capabilities.
AgentsMesh CLAUDE.md
Claude Code instructions for AgentsMesh/AgentsMesh, covering claude.md, project overview, components, development environment and quick start.