flowhawk AGENTS.md

flowhawk AGENTS.md is an instructions file for Codex, OpenCode from alexhraber/flowhawk. It costs 1,496 tokens per session, scanned A, original, MIT.

AGENTS.md instructions for alexhraber/flowhawk, covering agents.md — universal agent contract, mandatory orientation, mandatory initialization, control-plane first loop and pre-inference governance.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/alexhraber/flowhawk/agents-md
Clone the repo
git clone --depth 1 https://github.com/alexhraber/flowhawk

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for flowhawk AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/alexhraber/flowhawk/agents-md.svg)](https://agentmods.dev/instructions/alexhraber/flowhawk/agents-md)
Your own site
<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>
Per session 1,496 This file is loaded in full into every session.
When invoked 1,496 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 2d ago against content hash 9210b4634ebc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

AGENTS.md · 105 lines

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/DECAPOD for broad prompts. Use core/* 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.

Read the full file on GitHub · 105 lines

Changes

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.

  1. 2d ago First seen · 105 lines · 1,496 tokens per session scan A 9210b4634ebc

Subscribe to this mod's changes

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.

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