Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/pymodel/designer-skill/designer-statusgit clone --depth 1 https://github.com/PyModel/designer-skillWrote 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/commands/pymodel/designer-skill/designer-status)<a href="https://agentmods.dev/commands/pymodel/designer-skill/designer-status"><img src="https://agentmods.dev/badge/commands/pymodel/designer-skill/designer-status.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.00127 |
| Opus 5 | $0.00007 | $0.00063 |
| Sonnet 5 | $0.00003 | $0.00025 |
| Haiku 4.5 | $0.00001 | $0.00013 |
Grade A, and why
designer-status 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 4d 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.
What it actually says
designer-skill Status
npx -y @pymodel/designer-skill-mcp --version
npx -y @pymodel/designer-skill-mcp --check-update
Report both lines to the user.
Updates: MCP via npx …@latest or pin @<semver> in mcp.json. Plugin skill content via /plugin update designer-skill@pymodel (Claude/Codex) or reinstall the Cursor plugin.
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.
- 4d ago First seen · 16 lines · 14 tokens per session scan A 69631c9d5173
designer-status is a command published in the GitHub repository PyModel/designer-skill (30 stars, last pushed 4d ago), licensed MIT. It adds 14 tokens to every session and 127 once invoked, about $0.0001 per session on Opus 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.
Other commands, from other repositories
verify
Fidelity check — rebuild a page from the extracted tokens, pixel-diff it against the live site, and score how faithfully the tokens capture the design.
figma-component-library
Generate a complete component library in Figma from a design system config — atoms, molecules, and organisms with all variants, auto layout, and component properties.
design-chatbot
Design a complete chatbot or conversational assistant UI — dialog flows, message bubbles, quick replies, typing indicators, error states, and accessibility.
design-system
Generate design tokens, theme configuration, or extract a design system from existing code or Figma files.
figma-sync
Detect drift between Figma designs and code implementation — compare tokens, spacing, colors, typography, and component structure.
figma
Convert a Figma design to production code. Provide a Figma URL or select a node in Figma desktop.