Borrowing it
Nothing to install: this file belongs to renfei-design/Figma-AI-Bridge. 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/renfei-design/Figma-AI-Bridge/main/.github/skills/content-review/SKILL.mdgit clone --depth 1 https://github.com/renfei-design/Figma-AI-BridgeWrote 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/renfei-design/figma-ai-bridge/content-review)<a href="https://agentmods.dev/skills/renfei-design/figma-ai-bridge/content-review"><img src="https://agentmods.dev/badge/skills/renfei-design/figma-ai-bridge/content-review/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/renfei-design/figma-ai-bridge/content-review"><img src="https://agentmods.dev/badge/skills/renfei-design/figma-ai-bridge/content-review.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 | $0.00067 | $0.01041 |
| Opus 5 | $0.00034 | $0.00521 |
| Sonnet 5 | $0.00013 | $0.00208 |
| Haiku 4.5 | $0.00007 | $0.00104 |
Grade A, and why
content-review 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 10d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figma Content Review
Review UI text in Figma designs against writing style guidelines and apply fixes directly. Be fast — extract, review, present changes, apply.
Prerequisites
- figma-ai-bridge plugin running in Figma and connected
- Helper scripts:
.github/skills/content-review/scripts/figma_text.py extract <ch> <nodeId>— extract all text nodes.github/skills/content-review/scripts/figma_text.py apply <ch> <changes.json>— apply text changesscripts/figma_cmd.mjsfor WebSocket commands
Workflow — Do This Quickly
Run all commands directly without asking for permission. Only pause for user approval when presenting the proposed text changes (step 3).
1. Extract text from Figma
Get the selection, then extract all text nodes:
python3 .github/skills/content-review/scripts/figma_text.py extract <ch> <nodeId> --out /tmp/figma_texts.json
Outputs a JSON array of {nodeId, nodeName, text, fontSize, visible} for every text node.
2. Review text against style rules
Load the style references and review each text node:
.github/skills/content-review/references/style/grammar.md— voice, tense, articles, pronouns.github/skills/content-review/references/style/capitalization.md— sentence case, proper nouns.github/skills/content-review/references/style/word-choice.md— simple words, contractions, action verbs.github/skills/content-review/references/style/punctuation.md— periods, commas, colons, apostrophes
For each issue found, generate a change entry:
{"nodeId": "...", "original": "...", "newText": "...", "reason": "..."}
3. Present changes for approval
Show a diff table:
| Node | Original | Suggested | Rule |
|---|
Wait for user approval (all, selective, or skip).
4. Apply approved changes
python3 .github/skills/content-review/scripts/figma_text.py apply <ch> /tmp/text_changes.json
The changes JSON is an array of {nodeId, newText}.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 112 lines · 67 tokens per session scan A ab49e7af6666
content-review is a skill published in the GitHub repository renfei-design/Figma-AI-Bridge (16 stars, last pushed 6mo ago), licensed MIT. It adds 67 tokens to every session and 1,041 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 2026-08-31.
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