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 vladmdgolam/agent-skills --skill figma-bridgegit clone --depth 1 https://github.com/vladmdgolam/agent-skillsWrote 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/vladmdgolam/agent-skills/figma-bridge)<a href="https://agentmods.dev/skills/vladmdgolam/agent-skills/figma-bridge"><img src="https://agentmods.dev/badge/skills/vladmdgolam/agent-skills/figma-bridge/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/vladmdgolam/agent-skills/figma-bridge"><img src="https://agentmods.dev/badge/skills/vladmdgolam/agent-skills/figma-bridge.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 | $0.00222 | $0.02942 |
| Opus 5 | $0.00111 | $0.01471 |
| Sonnet 5 | $0.00044 | $0.00588 |
| Haiku 4.5 | $0.00022 | $0.00294 |
Grade A, and why
figma-bridge 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 2d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figma Bridge
Read and edit live Figma files through the figma-bridge MCP (plugin + local server, no Figma REST API, no rate limits). This skill exists because in real sessions 20% of bridge calls failed, and almost every failure was one of six avoidable mistakes listed under Troubleshooting.
Not the same as Framelink (figma-context-mcp skill, REST API, 6 req/month on free plans). Use the bridge whenever the plugin can be opened in the file. Fall back to Framelink only for files you cannot open in Figma.
Instructions
Step 1: Handshake — list_files first, then pass fileKey everywhere
- Call
list_filesbefore anything else. It never fails and returns[{fileKey, fileName}]for every file where the plugin is open. - If it returns nothing, stop and ask the user to run the plugin in the target file (Figma → Plugins → Development → Figma MCP Bridge). Do not retry other tools in a loop.
- If more than one file is connected, pick the one whose
fileNamematches the task and passfileKeyon every subsequent call. Omitting it is the error "Multiple files connected. Specify a fileKey". fileKeyfor cloud files is the id in the URL:figma.com/design/<fileKey>/<name>. Locally unsaved files get keys likeunsaved-ms7tl1kp-…that change when the file is reopened. When you see "No plugin connected for fileKey", rerunlist_filesand use the key it prints.
Step 2: Read with the ladder, never with the firehose
Responses over the context limit are not returned; Claude Code dumps them to a file and you get an error. Server builds from 2026-09-07 on default get_document and get_selection to depth 2 and genuinely honor depth on get_node (it was accepted and ignored before, which is why these calls used to overflow). Truncated levels come back as {id,name,type} stubs with childCount and truncated: true. On an older build, assume every read is unbounded and lean harder on find_nodes.
Use this order:
- Orient:
get_design_context({depth: 2, fileKey}). Returns the current selection if there is one, else the current page, depth-limited. This is how you learn what the user selected and get the node ids. Keep depth ≤ 3. - Locate:
find_nodes({root, name | regex, type, limit, fileKey})returns lightweight{id, name, type}rows without serializing subtrees. Scope withrootwhenever you have a parent id. Orget_node_by_path({path: "Hero/Card/Title"})for a readable address that survives file revisions. - Drill:
get_node({nodeId, depth, fields, fileKey}). Defaultdepth: 0returns the node with children as{id,name,type}stubs; raisedepthone level at a time. Combinedepth: 1or2withfieldsto get exactly what you need. Projections that worked well in practice:- text specs:
["characters","styles.fontSize","styles.fontFamily","styles.fontStyle","styles.fontWeight","styles.lineHeight"] - layout:
["bounds","children.bounds","children.name"] - colors:
["styles.fills","styles.strokes","children.styles.fills"] - visibility:
["styles.visible","styles.opacity"]Omitted style fields are Figma defaults (opacity 1, visible true, cornerRadius 0, empty fills = none).
- text specs:
- Bulk: for a big frame you need to study in full,
save_children_json({parentId, outputDir, filenamePattern: "{name}.json"})writes one JSON file per direct child, then grep orjqthe files instead of pulling them through context. get_selectionandget_documentare fine at their depth-2 default. Raising their depth on a large page is still the fastest way to blow the context budget.
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.
- 2d ago First seen · 130 lines · 222 tokens per session scan A 402242e6fbff
figma-bridge is a skill published in the GitHub repository vladmdgolam/agent-skills (8 stars, last pushed 3d ago), licensed MIT. It adds 222 tokens to every session and 2,942 once invoked, about $0.0011 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 2026-09-08.
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