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-post-design-questions-to-figmagit 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-post-design-questions-to-figma)<a href="https://agentmods.dev/skills/bitovi/cascade-mcp/cascade-post-design-questions-to-figma"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-post-design-questions-to-figma/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-post-design-questions-to-figma"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-post-design-questions-to-figma.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 | $0.00060 | $0.00912 |
| Opus 5 | $0.00030 | $0.00456 |
| Sonnet 5 | $0.00012 | $0.00182 |
| Haiku 4.5 | $0.00006 | $0.00091 |
Grade A, and why
cascade-post-design-questions-to-figma 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 12d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post Questions to Figma
Post behavior questions as comments on Figma frames. Each question is posted as a comment pinned to the specific frame it belongs to.
When to Use
Use after generate-behavior-questions has produced frame-specific questions and the user confirms they want to post them to Figma.
Typical trigger: User says "yes, post to Figma" after reviewing generated questions.
Required Input
- Questions organized by Figma frame (output from
generate-behavior-questions) - Each frame section has a Figma URL with the file key and node ID
Procedure
1. Parse questions by frame
From the generated questions output, extract:
- File key — from the Figma URL in each frame heading
- Node ID — from the frame heading (format
nodeId: 123:456) - Frame URL — the full Figma URL
- Questions — numbered list under each frame heading
2. Read frame dimensions
Read manifest.json from .temp/cascade/figma/{fileKey}/ to get frame dimensions (width, height) for each frame. These are needed for comment positioning.
3. Post questions to each frame
For each frame with questions:
-
Combine all questions for that frame into a single comment body:
Cascade🤖 ❓ Behavior Questions: 1. What is the expected behavior when the user clicks "Submit" with invalid data? 2. Should the filter panel persist its state across page navigation? -
Call MCP tool
figma-post-commentwith:fileKey: The Figma file key (from the URL path)message: The combined questions text (prefixed withCascade🤖 ❓)nodeId: The frame node ID (e.g.,123:456)nodeOffset: Position the comment on the left edge of the frame:x: -50(left edge, slightly outside the frame boundary)y: frameHeight / 2(centered vertically — since it's one comment per frame)- If
frameHeightis not available, omitnodeOffset(defaults to top-left)
4. Report results
After posting all comments, report to the user:
- How many frames received comments
- Total number of questions posted
- Any frames where posting failed (with error details)
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.
- 12d ago First seen · 91 lines · 60 tokens per session scan A 78203a77023c
cascade-post-design-questions-to-figma is a skill published in the GitHub repository bitovi/cascade-mcp (24 stars, last pushed 23d ago), licensed MIT. It adds 60 tokens to every session and 912 once invoked, about $0.0003 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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