ax-audit

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Audits agentic products for tool parity, authority, approval payloads, recovery, and trust using 27 rules and a ship verdict. Use when asked for an "AX audit", to review an agent approval flow, or whether an agent can operate the product. For human-facing API ergonomics use dx-audit; for ordinary UI use ui-design.

AI & Automation 130 stars 12 forks Updated today MIT

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Skill Content

# AX Audit Feature-level reviewer for apps where an agent acts for the user. One question: **does it earn trust, and where does it break?** - **IS:** rules-based audit of agentic surfaces (chat, tool execution, config, dashboards) across architecture (`rules-arch/`) and trust (`rules-ax/`), ending in a ship-readiness verdict plus an AX Relationship Summary. - **IS NOT:** traditional frontend UX (use `ui-design` Audit mode); developer-facing API, CLI, or type ergonomics (use `dx-audit`); public site or docs agent scores (use `agent-ready`); agent instruction files (use `agents-md`); what the product should do before it exists (use `product-design`). No agentic features in scope? Stop. AX rules against forms and lists are noise. ## Contents - [Audit workflow](#audit-workflow) - [Two rule layers](#two-rule-layers) - [Tiers and verdict](#tiers-and-verdict) - [AX Relationship Summary](#ax-relationship-summary) - [Reference files](#reference-files) - [Gotchas](#gotchas) - [Audit self-check](#audit-self-check) - [Related skills](#related-skills) ## Audit workflow ```text AX Audit progress: - [ ] Step 1: Scope, via the diff against the PR base merge-base (PR mode) or explicit path (full sweep) - [ ] Step 2: Detect agentic features per references/feature-playbooks.md - [ ] Step 3: Run each detected feature's playbook in order, plus the diff-wide checks (PR mode only) - [ ] Step 4: For each check, load the rule file and follow its detection recipe - [ ] Step 5: Tier each finding...

Details

Author
mblode
Repository
mblode/agent-skills
Created
8 months ago
Last Updated
today
Language
Python
License
MIT

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