Is Design Inventory safe and trustworthy?

tashan scores Design Inventory on public evidence — it is currently active. Audit scope: OSV advisories, install-time scripts, build provenance and declared permission surface. We do not review source code or execute the capability.

How do I install Design Inventory?

Drop the skill folder into ~/.claude/skills/ (user scope) or .claude/skills/ (project scope).

Who maintains Design Inventory?

9 GitHub contributors, source: closedloop-ai/claude-plugins.

‹ The Index

Design Inventory

skill

Use to run the Claude Design to ClosedLoop pipeline against the current web-ui. Stage A inventories a design export zip into schema-validated findings (typed design units - screens, regions like nav bars, standalone components like a chat dialog; UX and behavioral changes; Storybook component reuse mapping; token drift vs the live design system), then creates a platform "Design Review" Feature document the team reviews by editing. Stage B is that in-document human review (delete a section to decline, edit a line to amend, leave to accept). Stage C derives decisions from the edited document and generates DRAFT feature tickets grouped per screen (UI plus optional API) for accepted work only. …

Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format

Category: Design — see all ranked ›

Install (Claude Code):

cp -r design-inventory ~/.claude/skills/

Adoption: 1 repos
Upkeep: 96.0
Freshness: 91.0
Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
Health: active
Contributors: 9
License: Apache-2.0

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

Its own instructions

Its SKILL.md shows worked examples, covers setup and states a limitation.

Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.

You searched for one. Check the rest of your stack:

npx tashan-cli doctor

Reads the config already on your machine and names what is dead, deprecated or running code at install time. No account, nothing uploaded.

tashan Pro$6/mo

Pro adds the history to tashan doctor, so a run over your own config says which of yours gained an advisory, started running an install script, or lost its last maintainer — and what to move to.

Every score since we started measuring, for any capability
The named replacement when something you run is dying — not just that it is
tashan doctor over the config you already have, on your machine

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source ↗ · skill:closedloop-ai/design-inventory

Everything on this page is public evidence and free. What it cannot know is whether you run this — npx tashan-cli doctor reads your own config and names what is wrong in it, also free. tashan Pro tells you the day any of it changes.

Already running this? npx tashan-cli doctor checks your whole config against the Index — how it works ›

Measured 2026-08-14 · scorer s5 · how · something wrong here?