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 HybridAIOne/hybridclaw --skill diagramgit clone --depth 1 https://github.com/HybridAIOne/hybridclawWrote 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/hybridaione/hybridclaw/diagram)<a href="https://agentmods.dev/skills/hybridaione/hybridclaw/diagram"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/diagram/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/hybridaione/hybridclaw/diagram"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/diagram.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 | $0.00036 | $0.01521 |
| Opus 5 | $0.00018 | $0.00760 |
| Sonnet 5 | $0.00007 | $0.00304 |
| Haiku 4.5 | $0.00004 | $0.00152 |
Grade A, and why
diagram 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 13d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Diagram
Use this skill when the user wants a rendered static diagram, a validated diagram source artifact, or a revision to an existing diagram source.
Default to Mermaid unless the user asks for another format or the shape is a better fit for another adapter:
- Mermaid: sequence, flowchart, state, ER, class, gantt, git-graph, mindmap, and pie diagrams.
- PlantUML: UML sequence/component/activity/deployment diagrams when the user already uses PlantUML or asks for it.
- Graphviz DOT: topology, dependency graphs, and layouts where rank/direction control matters.
- Excalidraw JSON: hand-drawn-style editable sketches when the user asks for an editable canvas.
Tool Surface
Use the runtime tools directly:
diagram_create: create source, validate it, save source, and optionally render.diagram_update: update existing source or source artifact, validate it, save a new source artifact, and optionally render.diagram_validate: validate source only; do not render.
The tool output includes these fields:
{
"success": true,
"valid": true,
"source": "...",
"source_artifact_ref": "/workspace/.generated-diagrams/skills/diagram/diagram-...",
"rendered_artifact_ref": "/workspace/.generated-diagrams/skills/diagram/diagram-...",
"type": "flowchart",
"format": "mermaid",
"artifacts": [],
"runtime_events": [],
"warnings": []
}
On validation failure, success and valid are false and errors plus
suggested_fix may be present. When render_to is "none",
rendered_artifact_ref is null. Invalid source is still saved with
source_artifact_valid: false so the operator can inspect or repair it.
Default Workflow
- Pick the diagram type before writing syntax. If uncertain, set
typetoauto, but prefer an explicit type when the user request clearly names one. - For Mermaid, read references/mermaid-types.md when you need grammar examples or when the diagram type is not obvious.
- Draft complete source yourself when the user needs a specific diagram. Do not rely on the tool's generated starter unless the request is generic.
- Call
diagram_validatebefore rendering when you wrote or revised source manually. - If validation fails, use the returned
errorsandsuggested_fix, revise once, then validate again. Make at most 2 fix-up attempts before surfacing the failure with the invalid source artifact. The runtime also caps automatic pre-render fix-up at 2 attempts. - Call
diagram_createordiagram_updatewithrender_toset tosvgby default. Usepngorpdfonly when requested and the adapter can render that target. - Return the source artifact and rendered artifact paths to the user.
What ships with it
2 files 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.
- 13d ago First seen · 132 lines · 36 tokens per session scan A 589271ab384b
diagram is a skill published in the GitHub repository HybridAIOne/hybridclaw (132 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 1,521 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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