clarity-agent: Instructions file for Codex

AGENTS.md

clarity-agent AGENTS.md is an instructions file for Codex, OpenCode from microsoft/clarity-agent. It costs 2,335 tokens per session, scanned A, original, MIT.

A set of project instructions for Microsoft's Clarity Agent, including dependency installation, testing, linting, type checking, and commands for running its web, command-line, and desktop interfaces.

In plain words
What is it for?
Use it when developing Clarity Agent: install dependencies, run all or selected tests, lint and type-check code, start its interfaces, or rebuild the React frontend.
Why use it?
It gives a coding agent the commands and project rules needed to work on the repository consistently. This reduces uncertainty about how to install, test, check, and run the project.

Instructions file for CodexOpenCode ✓ vendor

Written for Codex and OpenCode: the file is AGENTS.md.

This is microsoft/clarity-agent's own configuration. It tells Codex and OpenCode how to work on clarity-agent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything clarity-agent configures →

About the project

Clarity Agent is an AI thinking partner that helps people examine whether they are building the right thing by exploring intent, failure modes, and architectural or product decisions. Teams use it through a desktop app, web interface, or coding agent, with the resulting decisions and analyses stored as human-readable Markdown in a repository. The catalogue add-on provides one way to embed Clarity in a coding-agent workflow.

microsoft/clarity-agent · 278 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to microsoft/clarity-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/microsoft/clarity-agent/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/microsoft/clarity-agent

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.

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README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
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Per session 2,335 This file is loaded in full into every session.
When invoked 2,335 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.02335 $0.02335
Opus 5.5 $0.00934 $0.00934
Sonnet 5.5 $0.00467 $0.00467
Haiku 4.5 $0.00233 $0.00233

Measured 1mo ago against content hash cdbfc05e95e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

clarity-agent 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 1mo 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 · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clarity Agent Guidelines

Commands

# Install all dependencies
uv sync --all-extras

# Run tests
uv run pytest

# Run a single test file
uv run pytest tests/test_packet_status.py

# Run a single test by name
uv run pytest tests/test_packet_status.py::TestPacketStatus::test_something

# Lint
uv run ruff check .

# Type check
uv run pyright

# Run the web UI (headless, against a project dir)
uv run python clarity.py web /tmp/test-project

# Run the CLI
uv run python clarity.py cli /tmp/test-project

# Run the desktop app
uv run python clarity.py app

# List the models the configured provider offers
uv run python clarity.py models
uv run python clarity.py models --debug   # explain how credentials resolved

# Rebuild the React frontend (only when changing web/ source)
cd web && npm install && npm run build

# Frontend dev server with hot-reloading (proxies /api and /ws to :8420)
# Terminal 1: uv run python clarity.py web /tmp/test-project
# Terminal 2: cd web && npm run dev

Architecture

Mental model: process guides are the program; Python is the stdlib

processes/ contains markdown files that act as the control flow — an LLM reads and executes them. src/clarity_agent/ contains Python infrastructure those processes call. clarity.py is the entry point.

Entry point and routing

processes/clarity-agent.md is "main". It checks whether .clarity-protocol/ exists, runs packet_status.py to assess state, and routes to the correct process guide. After any process completes, control returns here.

src/clarity_agent/protocol/packet_status.py is the build system / flow controller. It maintains a SHA-256 dependency graph among protocol documents (stored in config.json) and detects when a dependency has changed since a document was last accepted. The first stale document in topological order is what to work on next. The --agent flag produces markdown suitable for injection into an AI system prompt.

Document dependency graph

problem → stakeholders → requirements → open-questions → solution → failures
                                                                  → architecture (↔ failures)
                                                                  → solution-summary (← solution + architecture)

Read the full file on GitHub · 143 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. 1mo ago Changed · +6 lines · +180 tokens per session cdbfc05e95e2
  2. 2mo ago First seen · 137 lines · 2,155 tokens per session scan A b182371ae991

Subscribe to this mod's changes

clarity-agent AGENTS.md is an instructions file published in the GitHub repository microsoft/clarity-agent (278 stars, last pushed 4d ago), licensed MIT. It adds 2,335 tokens to every session, about $0.0093 per session on Opus 5.5. 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.

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