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 skills add bitovi/cascade-mcp --skill cascade-analyze-figma-framegit clone --depth 1 https://github.com/bitovi/cascade-mcpWrote 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/bitovi/cascade-mcp/cascade-analyze-figma-frame)<a href="https://agentmods.dev/skills/bitovi/cascade-mcp/cascade-analyze-figma-frame"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-analyze-figma-frame/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/bitovi/cascade-mcp/cascade-analyze-figma-frame"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-analyze-figma-frame.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00080 | $0.01094 |
| Opus 5 | $0.00040 | $0.00547 |
| Sonnet 5 | $0.00016 | $0.00219 |
| Haiku 4.5 | $0.00008 | $0.00109 |
Grade A, and why
cascade-analyze-figma-frame 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Figma Frame
Analyze a single Figma design frame using local files. This skill is designed to run as a subagent — it needs only filesystem access and LLM vision capability, no MCP tools.
When to Use
This is a sub-skill called as a subagent by parent skills (generate-behavior-questions, write-jira-story) during parallel frame analysis. Each subagent instance analyzes one frame.
Prerequisites
- Frame data exists locally in
.temp/cascade/figma/{fileKey}/frames/{dirName}/:image.png— screenshot of the frame (use as vision input)structure.xml— semantic XML of the Figma component treecontext.md— comments, annotations, connections to other frames
- The analysis prompt exists at
.temp/cascade/figma/{fileKey}/prompts/frame-analysis.md
Procedure
1. Read input files
Read these files from the frame directory:
image.png— View this image. This is the visual screenshot of the Figma frame. Use it as the primary input for visual analysis.structure.xml— The semantic XML component tree. Cross-reference visual elements with their component names, variants, and properties.context.md— Designer annotations, comments from stakeholders, connections to other frames. This provides intent and scope guidance.
2. Read analysis instructions
Read .temp/cascade/figma/{fileKey}/prompts/frame-analysis.md for the detailed analysis prompt.
3. Analyze the frame
Follow the analysis prompt instructions. Key analysis areas:
Page Structure
- Header, navigation, layout regions
- Visual hierarchy and content flow
Layout Structure Analysis
- Grid dimensions (count rows, columns systematically)
- Element mapping within the grid
- Spacing and alignment patterns
Primary UI Elements
- Buttons, forms, tabs, dropdowns — with exact labels from the design
- Visual states: active, hover, disabled, selected, empty
- Component names from
structure.xml
Data Display
- Tables, lists, cards, charts
- Visual indicators (badges, status icons, progress bars)
- Data formatting patterns
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.
- 11d ago First seen · 128 lines · 80 tokens per session scan A c382c3215eaa
cascade-analyze-figma-frame is a skill published in the GitHub repository bitovi/cascade-mcp (24 stars, last pushed 21d ago), licensed MIT. It adds 80 tokens to every session and 1,094 once invoked, about $0.0004 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.
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