Macro is a shared workspace that brings email, chat, documents, tasks, AI agents, calls, and customer relationship management into one connected system. It is for teams that want work information and cross-references in a single searchable environment. The catalogue entries provide skills, instructions, MCP integrations, commands, settings, and an agent for working with Macro.
Borrowing it
Nothing to install: this file belongs to macro-inc/macro. 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/macro-inc/macro/main/.agents/skills/audit/SKILL.mdgit clone --depth 1 https://github.com/macro-inc/macroWrote 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/skills/macro-inc/macro/audit)<a href="https://agentmods.dev/skills/macro-inc/macro/audit"><img src="https://agentmods.dev/badge/skills/macro-inc/macro/audit/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/skills/macro-inc/macro/audit"><img src="https://agentmods.dev/badge/skills/macro-inc/macro/audit.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 | $0.00065 | $0.00839 |
| Opus 5.5 | $0.00026 | $0.00336 |
| Sonnet 5.5 | $0.00013 | $0.00168 |
| Haiku 4.5 | $0.00006 | $0.00084 |
Grade A, and why
audit 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 yesterday.
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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- yesterday Changed · +1 lines df8a2c94b3ba
- 13d ago First seen · 63 lines · 65 tokens per session scan A 49cb8f8ffef2
audit is a skill published in the GitHub repository macro-inc/macro (5,438 stars, last pushed today), licensed AGPL-3.0. It adds 65 tokens to every session and 839 once invoked, about $0.0003 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 2026-10-16.
Other skills, from other repositories
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
verify
Exercise the real app/API/CLI and collect observable evidence; tests alone do not count as end-to-end verification.
webapp-testing
Start/reuse a local app, wait for readiness, inspect rendered state/console/network, act from observed selectors, and verify with evidence.
test-warp-ui
Guides testing Warp UI features and changes using the computer use tool. Use this skill only when computer-use testing was requested (explicit request or accepted offer) and the computeruse tool is available to the agent. Covers launching Warp and verifying UI behavior.
f1-test-drive
Assess F1 applicability, then validate changed product workflows or the F1 harness end-to-end. Skip drives and reports when no relevant workflow behavior changes.
om-troubleshooter
Diagnose and fix standalone Open Mercato bugs across scope, commands, locking, fields, generated registries, UI hydration, cache/search, bootstraps, queues, and providers. Use for "fix bug", "why does this fail", "regression", "debug", "napraw błąd", or a failing test.