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.
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.
curl -O https://raw.githubusercontent.com/microsoft/clarity-agent/main/AGENTS.mdgit clone --depth 1 https://github.com/microsoft/clarity-agentWrote 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/microsoft/clarity-agent/agents-md)<a href="https://agentmods.dev/instructions/microsoft/clarity-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/microsoft/clarity-agent/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/instructions/microsoft/clarity-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/microsoft/clarity-agent/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $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 |
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.
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)
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.
- 1mo ago Changed · +6 lines · +180 tokens per session cdbfc05e95e2
- 2mo ago First seen · 137 lines · 2,155 tokens per session scan A b182371ae991
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.
clarity-agent AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| clarity-agent AGENTS.mdmicrosoft/clarity-agent | Instructions file | 278 | 4d ago | MIT | A | 2,335 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |