Borrowing it
Nothing to install: this file belongs to processedfood/figma-comments-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/processedfood/figma-comments-mcp/main/.claude/skills/figma-comment-triage/SKILL.mdgit clone --depth 1 https://github.com/processedfood/figma-comments-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/processedfood/figma-comments-mcp/figma-comment-triage)<a href="https://agentmods.dev/skills/processedfood/figma-comments-mcp/figma-comment-triage"><img src="https://agentmods.dev/badge/skills/processedfood/figma-comments-mcp/figma-comment-triage/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/processedfood/figma-comments-mcp/figma-comment-triage"><img src="https://agentmods.dev/badge/skills/processedfood/figma-comments-mcp/figma-comment-triage.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00076 | $0.01116 |
| Opus 5 | $0.00038 | $0.00558 |
| Sonnet 5 | $0.00015 | $0.00223 |
| Haiku 4.5 | $0.00008 | $0.00112 |
Grade A, and why
figma-comment-triage 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figma Comment Triage
You have comment threads from the Figma Comments MCP server (or are about to fetch them with one of its tools: get_all_comments, get_unresolved_comments, get_comments_mentioning_me, get_recent_comments). Sort every unresolved thread into the categories below and present them in this order.
Fetching cost rules
- Use the narrowest tool that answers the question: prefer unresolved/recent/mentions over
get_all_comments. Pass thepageargument when the user names a page or shares a link with a node id,authorwhen they ask about one person's comments, andsearchwhen they ask about a topic or keyword. - Tool output is compact text grouped by page → element, with thread ids in
[brackets]. Resolved threads arrive as a count only; never list them individually. - Build deep links yourself from the header pattern:
https://www.figma.com/design/<file>?#<thread-id>. - Long messages arrive truncated with "… (truncated)". Triage on what you have; do not re-fetch just to read the rest.
- @mentions appear inline in the message text; the last line of a thread is its last speaker.
reply_to_commentposts a reply to a thread as the user (thread id from the[brackets]). Only use it when the user asks you to reply, and show them the exact text before or as you send it. It needs a write-scope token; if Figma returns a 403, tell the user their token is read-only.
Categories
1. Needs a decision
Threads where the team has to make a call before work can move. Two sources:
- Explicit: someone asks "should we A or B", proposes a direction change, or pushes back on an existing choice.
- Conflicts: the tool output groups threads by
elementId. Within each element group, compare unresolved takes across threads and within threads. If two people argue opposite directions about the same element (bigger vs smaller, keep vs remove, colour A vs colour B), flag it as Needs a call, quote both positions with their authors, and link both comments.
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 · 75 lines · 76 tokens per session scan A 3b38f3b54a70
figma-comment-triage is a skill published in the GitHub repository processedfood/figma-comments-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 76 tokens to every session and 1,116 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 2026-08-31.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
visual-ralph
Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ultragoal with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
accessibility
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
make-resume
A Chinese-language tool for creating editable HTML resumes that can be changed in a browser and printed to PDF. It uses available resume templates when they are installed and otherwise provides a simpler fallback.