Auto-Company is a software system that runs a recurring team of AI agents on a personal computer, where the agents plan work, make decisions, write code, deploy applications, and handle marketing. It is intended for autonomous product development on Windows, Linux, or macOS, using command-line agent tools and a local dashboard to track cycles and results. The catalogue entries are skills, agents, settings, and instructions that support this automated workflow.
Borrowing it
Nothing to install: this file belongs to MaxMiksa/Auto-Company. 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/MaxMiksa/Auto-Company/main/.claude/skills/ux-audit-rethink/SKILL.mdgit clone --depth 1 https://github.com/MaxMiksa/Auto-CompanyWrote 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/maxmiksa/auto-company/ux-audit-rethink)<a href="https://agentmods.dev/skills/maxmiksa/auto-company/ux-audit-rethink"><img src="https://agentmods.dev/badge/skills/maxmiksa/auto-company/ux-audit-rethink/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/maxmiksa/auto-company/ux-audit-rethink"><img src="https://agentmods.dev/badge/skills/maxmiksa/auto-company/ux-audit-rethink.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 | $0.00042 | $0.07319 |
| Opus 5.5 | $0.00017 | $0.02928 |
| Sonnet 5.5 | $0.00008 | $0.01464 |
| Haiku 4.5 | $0.00004 | $0.00732 |
Grade A, and why
ux-audit-rethink 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- ux-audit-rethink — 100% identical, 0 lines differ
- ux-audit-rethink — 88% identical, 923 lines differ
How it starts
The opening of the file, as written. The whole thing — 1,107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UX Audit and Rethink
This skill enables AI agents to perform a comprehensive, holistic UX audit based on the Interaction Design Foundation's methodology from "The Basics of User Experience Design". It evaluates products across multiple dimensions and proposes strategic redesign recommendations.
Unlike focused evaluations (Nielsen, WCAG, Don Norman), this skill provides a 360-degree UX assessment combining factors, characteristics, dimensions, and research techniques into a unified framework.
Use this skill for complete UX evaluations, product strategy decisions, or as an entry point before diving into specific audits.
Combine with "Nielsen Heuristics" for usability depth, "WCAG Accessibility" for compliance, or "Cognitive Walkthrough" for task-specific analysis.
When to Use This Skill
Invoke this skill when:
- Conducting initial comprehensive UX assessment
- Evaluating overall product-market fit from UX perspective
- Making strategic product decisions
- Assessing all dimensions of user experience holistically
- Preparing for product redesign or pivot
- Benchmarking against UX best practices
- Creating UX improvement roadmap
- Evaluating new product concepts
Inputs Required
When executing this audit, gather:
- app_description: Detailed description (purpose, target users, key features, platform: web/mobile/both) [REQUIRED]
- screenshots_or_links: Screenshots, wireframes, prototypes, or live URLs [OPTIONAL but highly recommended]
- user_feedback: Existing reviews, complaints, support tickets, analytics data [OPTIONAL]
- target_goals: Specific UX objectives (e.g., "improve onboarding", "increase engagement") [OPTIONAL]
- business_context: Business goals, KPIs, competitive landscape [OPTIONAL]
- user_personas: Existing personas or demographic info [OPTIONAL]
The IxDF UX Framework
This skill evaluates across three core dimensions:
Framework 1: The 7 Factors Influencing UX
Based on Peter Morville's User Experience Honeycomb:
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 First seen · 1,107 lines · 42 tokens per session scan A 487ed8f36216
ux-audit-rethink is a skill published in the GitHub repository MaxMiksa/Auto-Company (3,156 stars, last pushed 4d ago), licensed MIT. It adds 42 tokens to every session and 7,319 once invoked, about $0.0002 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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