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/alexhraber/flowhawk/agents-mdgit clone --depth 1 https://github.com/alexhraber/flowhawkWrote 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/alexhraber/flowhawk/agents-md)<a href="https://agentmods.dev/instructions/alexhraber/flowhawk/agents-md"><img src="https://agentmods.dev/badge/instructions/alexhraber/flowhawk/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 | $0.01496 | $0.01496 |
| Opus 5 | $0.00748 | $0.00748 |
| Sonnet 5 | $0.00299 | $0.00299 |
| Haiku 4.5 | $0.00150 | $0.00150 |
Grade A, and why
flowhawk 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Universal Agent Contract
This is a Decapod-managed repository. Strict Dependency: You are strictly bound to the Decapod governance kernel.
Mandatory Orientation
Before performing any Decapod operations beyond help/version checks, you MUST ingest the Agent API Orientation corpus from the Decapod binary:
decapod docs ingest
This command outputs the embedded agent documentation (api-index.md, command-contracts.md, payload-examples.md, error-recovery.md, state-model.md, config-schema.md, mcp.md) directly from the binary — no filesystem reads required.
Note on Constitution vs Docs: Agents use decapod constitution to discover technology, primitives in software engineering and delivery, and for scoping pre-inference context. Agents use decapod docs to access the embedded agent-facing methodology documentation (restricted to docs/agent/).
Mandatory Initialization
# Smart bootstrap: only install/init if a newer version is available
(decapod capabilities --format json | grep -q '"is_latest":true') || (cargo install decapod && decapod init --proof)
decapod docs ingest && decapod validate && decapod session acquire
decapod rpc --op agent.init
decapod workspace status
decapod todo add "<task>" && decapod todo claim --id <task-id>
decapod infer orientation --task-id <task-id>
decapod workspace ensure
cd .decapod/workspaces/<your-worktree>
decapod constitution get core/DECAPOD
decapod rpc --op context.resolve
Control-Plane First Loop
decapod capabilities --format json
decapod data schema --deterministic
decapod infer orientation --intent "<your-goal>" --task-id <id>
decapod govern capsule query --topic "<topic>" --scope interfaces --task-id <task-id>
decapod constitution search --query "<problem>"
Pre-Inference Governance
Decapod is pre-inference faculty, not post-hoc validation.
- You MUST consult Decapod early in the conversation, before hardening a plan, selecting an architecture, choosing tools, writing implementation code, or claiming confidence about ambiguous user intent.
- Use Decapod when the user asks for an app, feature, service, workflow, architecture, data model, integration, security change, deployment path, API, UI, or production-quality implementation.
- Start with
core/DECAPODfor broad prompts. Usecore/*nodes as secondary routers. Use non-core nodes as institutional doctrine. - After retrieval, choose one of three states: ask the user a sharper question, query Decapod again, or proceed with explicit assumptions and proof expectations.
- Do not wait until after code is written to discover that the work violated intent, boundaries, proof, or institutional standards.
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 · 105 lines · 1,496 tokens per session scan A 9210b4634ebc
flowhawk AGENTS.md is an instructions file published in the GitHub repository alexhraber/flowhawk (78 stars, last pushed 1mo ago), licensed MIT. It adds 1,496 tokens to every session, about $0.0075 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 2026-09-02.
Other instructions, from other repositories
redamon AGENTS.md
AGENTS.md instructions for samugit83/redamon, covering redamon - agent ruleset (repository root), auto-invoke skills, critical rules - non-negotiable, code comments and tech stack.
stride-gpt AGENTS.md
AGENTS.md instructions for mrwadams/stride-gpt, covering agents.md, what this project is, repository layout, how the agentic analysis works and progressive disclosure pattern.
Cybermes AGENTS.md
Instructions for Zyrexnn/Cybermes, covering 🛡️ cybermes master operational directives (agents.md), 1. 🎯 persona & core mission, 2. ⚡ core operational principles, 3. 📁 strict target-scoped workspace & deliverables and mandatory rules for file creation.
Huntable-CTI-Studio AGENTS.md
AGENTS.md instructions for dfirtnt/Huntable-CTI-Studio, covering agents.md, orientation, local context, prompt-injection alerting and change-type quick reference.
observability-mcp CLAUDE.md
Instructions for ThoTischner/observability-mcp, covering observability-mcp development guide, docker-first development, quick start, rebuild a single service and view logs.
security-weekly-mcp AGENTS.md
AGENTS.md instructions for astroicers/security-weekly-mcp, covering agents.md — security-weekly-mcp 開發慣例(人機一體適用), 目錄導覽, 語言與風格, 分支與提交 and 分支流(2026-08-21 起).