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 curiositech/some_claude_skills --skill reactflow-expertgit clone --depth 1 https://github.com/curiositech/some_claude_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/curiositech/some_claude_skills/reactflow-expert)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/reactflow-expert"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/reactflow-expert/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/curiositech/some_claude_skills/reactflow-expert"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/reactflow-expert.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 | $0.00120 | $0.02164 |
| Opus 5 | $0.00060 | $0.01082 |
| Sonnet 5 | $0.00024 | $0.00433 |
| Haiku 4.5 | $0.00012 | $0.00216 |
Grade A, and why
reactflow-expert 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 8d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ReactFlow Expert
Builds DAG visualizations using ReactFlow v12 with custom agent nodes, ELKjs auto-layout, Zustand state management, and live execution state updates.
When to Use
✅ Use for:
- Building workflow/DAG visualization dashboards
- Creating custom ReactFlow node components for agent state
- Integrating ELKjs auto-layout for automatic graph positioning
- Wiring WebSocket execution events into ReactFlow state
- Implementing zoom, pan, selection, and node interaction
❌ NOT for:
- Static Mermaid diagrams (use
mermaid-graph-writer) - General React component development
- Non-graph visualizations (charts, tables)
Architecture
flowchart TD
subgraph "State Layer"
Z[Zustand Store] --> N[nodes + edges]
Z --> U[updateNodeData]
Z --> A[applyNodeChanges / applyEdgeChanges]
end
subgraph "Layout Layer"
E[ELKjs] --> P[Compute positions]
P --> Z
end
subgraph "Data Layer"
WS[WebSocket] --> Z
API[REST API] --> Z
end
subgraph "Render Layer"
Z --> RF[ReactFlow component]
RF --> CN[Custom AgentNode]
RF --> CE[Custom edges]
RF --> PA[Panel controls]
end
Core Patterns (ReactFlow v12)
Zustand Store (Recommended over useNodesState for complex editors)
import { create } from 'zustand';
import { applyNodeChanges, applyEdgeChanges, type Node, type Edge } from '@xyflow/react';
interface DAGStore {
nodes: Node[];
edges: Edge[];
onNodesChange: (changes: any) => void;
onEdgesChange: (changes: any) => void;
setNodes: (nodes: Node[]) => void;
setEdges: (edges: Edge[]) => void;
updateNodeData: (nodeId: string, data: Record<string, any>) => void;
}
const useDAGStore = create<DAGStore>((set, get) => ({
nodes: [],
edges: [],
onNodesChange: (changes) => set({ nodes: applyNodeChanges(changes, get().nodes) }),
onEdgesChange: (changes) => set({ edges: applyEdgeChanges(changes, get().edges) }),
setNodes: (nodes) => set({ nodes }),
setEdges: (edges) => set({ edges }),
// CRITICAL: create NEW object to trigger ReactFlow re-render
updateNodeData: (nodeId, data) => set({
nodes: get().nodes.map((n) =>
n.id === nodeId ? { ...n, data: { ...n.data, ...data } } : n
),
}),
}));
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.
- 8d ago First seen · 247 lines · 120 tokens per session scan A df9af24a3f9e
reactflow-expert is a skill published in the GitHub repository curiositech/some_claude_skills (221 stars, last pushed 5d ago), licensed MIT. It adds 120 tokens to every session and 2,164 once invoked, about $0.0006 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 2026-09-03.
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