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/mattartzanthro/gephi-ai/visualize-networknpx skills add MattArtzAnthro/gephi-ai --skill visualize-networkgit clone --depth 1 https://github.com/MattArtzAnthro/gephi-aiWrote 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/mattartzanthro/gephi-ai/visualize-network)<a href="https://agentmods.dev/skills/mattartzanthro/gephi-ai/visualize-network"><img src="https://agentmods.dev/badge/skills/mattartzanthro/gephi-ai/visualize-network.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.00725 |
| Opus 5 | $0.00028 | $0.00362 |
| Sonnet 5 | $0.00011 | $0.00145 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
visualize-network 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 5d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visualize a Network
Style and lay out the live graph in place. The goal is a map where real structure is visible, hubs are legible, edges are informative but quiet, and nothing is accidentally invisible.
Read ../gephi/references/layout-guide.md for layout selection and its
symptom-to-fix table. Read ../gephi/references/reading-network-maps.md for the
caption and interpretation discipline.
Iterative Loop
- Health and baseline. Call
gephi_health_check, thengephi_get_graph_statsandgephi_visual_qa. Stop if Gephi is unavailable or the graph is empty. Use a requested partition column; otherwise prefermodularity_class, a clearly categorical column, or computed communities. - Data-truth gate. Run
gephi_visual_qawith the partition column. If its verdict isnone, do not color by that attribute. Compute communities withgephi_compute_modularityand usemodularity_class, or proceed without community color. - Style. Compute degree if needed. Apply the validated eight-color partition palette with gray beyond eight communities, size nodes by degree, and set preview defaults from the gephi skill. Use subdued source-colored edges for most networks and neutral gray for dense text networks.
- Layout. Run the layout selected by the layout guide. For ForceAtlas 2, use synchronous execution, LinLog, size-appropriate scaling, and measured weight handling. Finish with Noverlap.
- Inspect. Run
gephi_visual_qa, export a small diagnostic PNG, and inspect it. Check overview separation and close-up node legibility. - Adjust one variable. Diagnose the symptom, change exactly one layout or preview parameter, rerun a short pass, and measure again. Repeat up to three times or until the QA warnings are resolved and both zoom levels read well.
- Label and export. Add cluster captions only when they have evidence-based
names. Use
extent.suggested_exportfor the canvas, scale up for publication, and export to the requested destination. Offergephi_view_graphwhen the host supports MCP Apps.
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.
- 5d ago First seen · 60 lines · 56 tokens per session scan A 22095c94e54a
visualize-network is a skill published in the GitHub repository MattArtzAnthro/gephi-ai (21 stars, last pushed 3d ago), licensed Apache-2.0. It adds 56 tokens to every session and 725 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 2026-08-30.
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nemo-automodel-launcher-config
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agile-product-owner
../../../product-team/agile-product-owner/skills/agile-product-owner/SKILL.md.
agent-memory
../../../engineering/agent-memory/skills/agent-memory/SKILL.md.