intent-fluid AGENTS.md

Repository instructions for intent-fluid, a project that stores coding-agent skills and helper scripts. They define where skills and documentation belong and how skills should be named, structured, and checked.

In plain words
What is it for?
Use them when creating or changing skills, documentation, or helper scripts in the intent-fluid repository, especially before validating a skill.
Why use it?
Without shared repository rules, contributors may put files in the wrong places or create skills that do not meet the project's required format. These instructions provide the expected structure and validation commands.

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/carbonshow/intent-fluid/agents-md
Clone the repo
git clone --depth 1 https://github.com/carbonshow/intent-fluid

Made for: Codex, OpenCode.

Per session 647 This file is loaded in full into every session.
When invoked 647 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 $0.00647 $0.00647
Opus 5 $0.00324 $0.00324
Sonnet 5 $0.00129 $0.00129
Haiku 4.5 $0.00065 $0.00065

Measured 2d ago against content hash ef8149d4df6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

intent-fluid 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Guidelines

This repository contains intent-fluid skills and framework-level helper scripts. It is primarily a skill/documentation repository, not a Node package or Python application.

Repository Purpose

  • Skills live under skills/<skill-name>/.
  • Repository-level documentation lives under docs/.
  • Framework helper scripts live under scripts/.
  • docs/SKILL_SPEC.md is the canonical standard for skill authoring.
  • docs/TRACE_SPEC.md is the canonical standard for trace events and dashboard/export behavior.

Skill Authoring Rules

Follow docs/SKILL_SPEC.md when creating or modifying skills.

Key constraints:

  • SKILL.md is required for every skill.
  • Skill directory names use [a-z0-9-] and match the name frontmatter field.
  • Allowed skill top-level entries are SKILL.md, agents/, scripts/, references/, and assets/.
  • Do not add skill-local README.md files unless the skill spec changes.
  • Validate skills with bash scripts/validate-skill.sh skills/<skill-name>.

Python Rules

Python is allowed for future helper tooling only when it follows these rules:

  • Use uv for all Python execution and dependency management.
  • Use PEP 723 single-file scripts for standalone execution-layer helpers.
  • Use pyproject.toml plus uv sync only when a tool needs multiple modules or project-local imports.
  • Do not introduce system Python, pip, venv, Poetry, or Conda workflows.

TypeScript Rules

TypeScript helper scripts use Deno.

  • Use deno run, deno check, deno lint, and deno fmt.
  • Keep TypeScript scripts in scripts/*.ts unless a larger tool directory is explicitly needed.
  • Avoid node_modules and package-managed runtime dependencies.
  • Keep package.json as repository metadata only unless the user explicitly approves a Node/npm exception.
  • Prefer Deno permissions scoped to the script's needs, such as --allow-read --allow-write.

Shell Rules

Shell scripts are compatibility wrappers or thin orchestration glue.

Read the full file on GitHub · 75 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 · 75 lines · 647 tokens per session scan A ef8149d4df6c

Subscribe to this mod's changes

intent-fluid AGENTS.md is an instructions file published in the GitHub repository carbonshow/intent-fluid (6 stars, last pushed 3mo ago), licensed MIT. It adds 647 tokens to every session, about $0.0032 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 2026-08-31.