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/nirholas/xactions/graph-analysisnpx skills add nirholas/XActions --skill graph-analysisgit clone --depth 1 https://github.com/nirholas/XActionsWhat 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 | $0.00043 | $0.00619 |
| Opus 5 | $0.00022 | $0.00309 |
| Sonnet 5 | $0.00009 | $0.00124 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
graph-analysis 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Graph Analysis
API-powered network graph analysis for X/Twitter follower relationships.
Entry Points
| Goal | Route | Method |
|---|---|---|
| Build a network graph | POST /api/graph/build |
REST API |
| Get graph data | GET /api/graph/:id |
REST API |
| Run graph algorithms | POST /api/graph/:id/analyze |
REST API |
| Export graph | GET /api/graph/:id/export |
REST API |
| Visualize graph | GET /api/graph/:id/visualize |
REST API |
API Usage
Build a network graph
POST /api/graph/build
Authorization: Bearer <token>
Content-Type: application/json
{
"username": "nichxbt",
"depth": 1, // 1 = direct followers, 2 = followers of followers
"maxNodes": 500 // Limit graph size
}
Run graph algorithms
POST /api/graph/:id/analyze
Authorization: Bearer <token>
Content-Type: application/json
{
"algorithm": "pagerank" // "pagerank" | "betweenness" | "community" | "influencers"
}
Available Algorithms
| Algorithm | Description |
|---|---|
pagerank |
Rank nodes by influence (like Google's PageRank) |
betweenness |
Find bridge accounts connecting different clusters |
community |
Detect communities/clusters within the network |
influencers |
Identify top influencers by degree centrality |
Use Cases
| Goal | Approach |
|---|---|
| Find bridge accounts for cross-audience reach | algorithm: "betweenness" |
| Identify communities in your follower base | algorithm: "community" |
| Find most influential followers | algorithm: "influencers" |
| Rank followers by network influence | algorithm: "pagerank" |
Notes
- Graph building is async and may take several minutes for large networks
depth: 2creates much larger graphs — usemaxNodesto limit- Export formats: JSON (node/edge list), GraphML, CSV
- Visualization returns an interactive D3.js-powered HTML page
Related Skills
- analytics-insights — Analyze your own engagement metrics
- audience-demographics — Understand follower demographics
- competitor-intelligence — Analyze competitor audiences
- crm-management — Manage individual relationships within the graph
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 · 83 lines · 43 tokens per session scan A bb4001f55f35
graph-analysis is a skill published in the GitHub repository nirholas/XActions (496 stars, last pushed 5d ago), licensed Apache-2.0. It adds 43 tokens to every session and 619 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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