Borrowing it
Nothing to install: this file belongs to Aniket-a14/SRA. 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/Aniket-a14/SRA/main/.agents/skills/dagre-react-flow/SKILL.mdgit clone --depth 1 https://github.com/Aniket-a14/SRAWrote 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/aniket-a14/sra/dagre-react-flow)<a href="https://agentmods.dev/skills/aniket-a14/sra/dagre-react-flow"><img src="https://agentmods.dev/badge/skills/aniket-a14/sra/dagre-react-flow/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/aniket-a14/sra/dagre-react-flow"><img src="https://agentmods.dev/badge/skills/aniket-a14/sra/dagre-react-flow.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 | $0.00060 | $0.02857 |
| Opus 5.5 | $0.00024 | $0.01143 |
| Sonnet 5.5 | $0.00012 | $0.00571 |
| Haiku 4.5 | $0.00006 | $0.00286 |
Grade A, and why
dagre-react-flow 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 1mo 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 — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dagre with React Flow
Dagre is a JavaScript library for laying out directed graphs. It computes optimal node positions for hierarchical/tree layouts. React Flow handles rendering; dagre handles positioning.
Quick Start
pnpm add @dagrejs/dagre
import dagre from '@dagrejs/dagre';
import { Node, Edge } from '@xyflow/react';
const getLayoutedElements = (
nodes: Node[],
edges: Edge[],
direction: 'TB' | 'LR' = 'TB'
) => {
const g = new dagre.graphlib.Graph();
g.setGraph({ rankdir: direction });
g.setDefaultEdgeLabel(() => ({}));
nodes.forEach((node) => {
g.setNode(node.id, { width: 172, height: 36 });
});
edges.forEach((edge) => {
g.setEdge(edge.source, edge.target);
});
dagre.layout(g);
const layoutedNodes = nodes.map((node) => {
const pos = g.node(node.id);
return {
...node,
position: { x: pos.x - 86, y: pos.y - 18 }, // Center to top-left
};
});
return { nodes: layoutedNodes, edges };
};
Core Concepts
Coordinate System Difference
Critical: Dagre returns center coordinates; React Flow uses top-left.
// Dagre output: center of node
const dagrePos = g.node(nodeId); // { x: 100, y: 50 } = center
// React Flow expects: top-left corner
const rfPosition = {
x: dagrePos.x - nodeWidth / 2,
y: dagrePos.y - nodeHeight / 2,
};
Node Dimensions
Dagre requires explicit dimensions. Three approaches:
1. Fixed dimensions (simplest):
g.setNode(node.id, { width: 172, height: 36 });
2. Per-node dimensions from data:
g.setNode(node.id, {
width: node.data.width ?? 172,
height: node.data.height ?? 36,
});
3. Measured dimensions (most accurate):
// After React Flow measures nodes
g.setNode(node.id, {
width: node.measured?.width ?? 172,
height: node.measured?.height ?? 36,
});
Layout Directions
| Value | Direction | Use Case |
|---|---|---|
TB |
Top to Bottom | Org charts, decision trees |
BT |
Bottom to Top | Dependency graphs (deps at bottom) |
LR |
Left to Right | Timelines, horizontal flows |
RL |
Right to Left | RTL layouts |
What ships with it
1 file 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.
- 1mo ago First seen · 463 lines · 60 tokens per session scan A 621fd197f187
dagre-react-flow is a skill published in the GitHub repository Aniket-a14/SRA (24 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 60 tokens to every session and 2,857 once invoked, about $0.0002 per session on Opus 5.5. 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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