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 agentmods add skills/datit309/supergraph/flutter-uinpx skills add datit309/supergraph --skill flutter-uigit clone --depth 1 https://github.com/datit309/supergraphWhat 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 | $0.00048 | $0.01674 |
| Opus 5 | $0.00024 | $0.00837 |
| Sonnet 5 | $0.00010 | $0.00335 |
| Haiku 4.5 | $0.00005 | $0.00167 |
Grade A, and why
flutter-ui 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 yesterday.
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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/supergraph:flutter-ui
Build pixel-faithful Flutter UI grounded in the project's own design system.
Announce: "🎨 /supergraph:flutter-ui — scanning project design system..."
Input modes
- Figma MCP — user provides a Figma URL or node ID
- Image — user provides a screenshot or design image
Figma URL: extract fileKey (after /design/) and nodeId (node-id param, replace - with :).
Step 1 — Scan project design system
1a. Locate token files (prefer ripgrep, fallback to codebase-memory)
# Prefer ripgrep — 10-20x faster than find|xargs grep; single pass covers all token types
rg --type dart --type yaml -l "Color|Colors\.|TextStyle|fontSize|FontWeight|EdgeInsets|Radius|ThemeData|colorScheme" | grep -iE "color|theme|token|palette|constant|style|text|typo|font|dimen|size|spacing|radius" | head -20
# Fallback if rg not available: codebase-memory search_graph(project=CBM_PROJECT, query="Color TextStyle EdgeInsets") or serena get_symbols_overview
find . \( -name "theme" -o -name "themes" \) -type d | head -10
1b. Extract token registry
Read identified files and extract:
- Colors:
grep -n "static.*Color\|Color(" <token_file> | head -40→ constant name → hex/Color value - Text styles:
grep -n "TextStyle\|fontSize\|FontWeight" <style_file> | head -40→ style name → fontSize + weight + color - Spacing/sizing:
grep -n "static.*double\|const.*= [0-9]" <dimen_file> | head -40→ constant name → value - Theme:
grep -n "ThemeData\|colorScheme\|MaterialApp" <theme_file> | head -20→ determine access pattern (direct class vsTheme.of(context))
1c. Find existing reusable widgets
find . -path "*/widgets/*.dart" -o -path "*/components/*.dart" -o -path "*/common/*.dart" | head -30
For each: grep -n "class \|const \|required \|this\." <widget_file> | head -20 — list as WidgetName(params) → path.
1d. Detect state management
grep -rn "import.*bloc\|import.*riverpod\|import.*provider\|import.*getx\|import.*mobx\|import.*signals" lib/ pubspec.yaml | head -10
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.
- yesterday First seen · 149 lines · 48 tokens per session scan A 3b96ce18b6b1
flutter-ui is a skill published in the GitHub repository datit309/supergraph (21 stars, last pushed 4d ago), licensed MIT. It adds 48 tokens to every session and 1,674 once invoked, about $0.0002 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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