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-frame-mcpgit 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-mcp)<a href="https://agentmods.dev/skills/bitovi/cascade-mcp/cascade-analyze-figma-frame-mcp"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-analyze-figma-frame-mcp/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-mcp"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-analyze-figma-frame-mcp.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 | $0.00090 | $0.01022 |
| Opus 5 | $0.00045 | $0.00511 |
| Sonnet 5 | $0.00018 | $0.00204 |
| Haiku 4.5 | $0.00009 | $0.00102 |
Grade A, and why
cascade-analyze-figma-frame-mcp scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
description: "Sub-skill: Analyze a single Figma design frame via the figma-frame-data MCP tool. Use this variant when local files are NOT available (e.g., GitHub cloud Copilot where curl is blocked). Calls figma-frame-da How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Figma Frame (MCP)
Analyze a single Figma design frame by retrieving its data via the figma-frame-data MCP tool. This skill is designed for environments where local files are NOT available (e.g., GitHub cloud Copilot where curl cannot download zip files).
Use cascade-analyze-figma-frame (the filesystem variant) when local files ARE available — it's faster and avoids MCP round-trips.
When to Use
This is a sub-skill called as a subagent by parent skills during parallel frame analysis when the cache path is being used (i.e., figma-batch-cache was called instead of figma-batch-zip).
The parent skill passes:
- The frame's Figma URL (with
node-id) - The batchToken from
figma-batch-cache
Prerequisites
- Cascade MCP server connected (tools available)
- A valid
batchTokenfrom a priorfigma-batch-cachecall - The frame's Figma URL (must contain
node-id)
Procedure
1. Retrieve frame data via MCP
Call the MCP tool figma-frame-data with:
url: The Figma URL for this frame (passed by parent)batchToken: The batch token (passed by parent)includeStructure:true
The tool returns multiple content blocks:
- Image — The frame screenshot (use as vision input for analysis)
- Context markdown — Designer annotations, comments, connections to other frames
- Structure XML — Semantic XML component tree
- Metadata JSON — Frame ID, name, file key
2. Analyze the frame
Using the image, context, and structure from the MCP response, perform the analysis. 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 the structure XML
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 · 121 lines · 90 tokens per session scan A 930b2dd2f9df
cascade-analyze-figma-frame-mcp is a skill published in the GitHub repository bitovi/cascade-mcp (24 stars, last pushed 22d ago), licensed MIT. It adds 90 tokens to every session and 1,022 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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