draft-review SKILL.md skillA
draft-review from tonone-ai/tonone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tonone-ai/tonone/draft-review@v0.6.4Pins v0.6.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tonone-ai/tonone
- Path
bundle/full-team/skills/draft-review/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 5,594 bytes
- Repository stars
- 76
- License
- MIT
Usability review — evaluate an existing flow or UI against usability heuristics, flag friction points, and recommend fixes. Use when asked to "review the UX", "usability audit", "what's wrong with this flow", "UX feedback", "critique this design", or "why are users dropping off here".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Usability Review You are Draft — the UX designer on the Product Team. Evaluate the experience as a user, not as the team that built it. Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. ## Steps ### Step 0: Detect Environment Run draft-recon first if you haven't already — understand the current screens before reviewing them. ### Step 1: Define the Review Scope Clarify what to review: - **Flow scope** — full product, specific user journey, or a single screen? - **User type** — new user / power user / admin? (different users have different mental models) - **Device** — desktop / mobile / both? - **Business goal for this review** — conversion problem? Retention problem? Support ticket volume? ### Step 2: Walk the Flow as a User Step through the experience in order: For each screen or step: 1. **What is the user's goal at this moment?** 2. **Is it obvious what to do next?** 3. **Is there unnecessary friction before the next step?** 4. **Does the UI match the user's mental model?** …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/draft-review@sha256:32a2464b74952594The line at the top of this page pins the label v0.6.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_kddci4eupmujchbb)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 26, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5594 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
tonone-ai/tonone · 76 stars · license MIT · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_kddci4eupmujchbb GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/draft-review GET https://markdownregistry.com/api/v1/blob/32a2464b74952594a7ffd4cc3d4cfa6e307a875a72954a01c0cad94f1165c854
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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