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 guoliang1114-boop/AriaAI --skill bpmngit clone --depth 1 https://github.com/guoliang1114-boop/AriaAIWrote 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/guoliang1114-boop/ariaai/bpmn)<a href="https://agentmods.dev/skills/guoliang1114-boop/ariaai/bpmn"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/bpmn/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/guoliang1114-boop/ariaai/bpmn"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/bpmn.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 | $0.00043 | $0.02557 |
| Opus 5.5 | $0.00017 | $0.01023 |
| Sonnet 5.5 | $0.00009 | $0.00511 |
| Haiku 4.5 | $0.00004 | $0.00256 |
Grade A, and why
bpmn 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Process & Integration Diagram Generator
Quick Start: Choose diagram type → Declare stencil icons for events/gateways/tasks → Group into pools/lanes → Connect with arrow syntax → Wrap in ```plantuml fence.
⚠️ IMPORTANT: Always use
```plantumlor```pumlcode fence. NEVER use```text— it will NOT render as a diagram.
When To Use / Diagnostic Intake
适用于业务流程、消息集成或价值流示意。先确认角色、开始/结束事件、异常路径、等待条件，以及用户是否需要可执行流程模型。
Workflow
逐条列出正常与异常路径→选择 BPMN/EIP/Lean 图形→设置角色边界→核对分支汇合→生成并渲染 PlantUML。
Tools and Dependencies
依赖支持本包 stencil 的 PlantUML。图形输出不是 BPMN 2.0 执行文件；需要执行语义时明确后续建模接口。
Critical Rules
- Every diagram starts with
@startumland ends with@enduml - Use
left to right directionfor process flows (start→end reads left-to-right) - Use
mxgraph.bpmn.*for BPMN events, gateways, and task markers - Use
mxgraph.eip.*for Enterprise Integration Pattern icons - Use
mxgraph.lean_mapping.*for Value Stream Mapping symbols - Default colors are applied automatically — you do NOT need to specify
fillColororstrokeColor - Use
rectangle "Pool" { ... }for BPMN pools and lanes - Sequence flows use
-->, message flows use..>(dashed)
Full stencil reference: See stencils/README.md for 9500+ available icons.
Mxgraph Stencil Syntax
mxgraph.<library>.<icon> "Label" as <alias>
BPMN Stencil Family (mxgraph.bpmn.*)
Events — Circle shapes for process triggers and outcomes:
| Icon | Meaning |
|---|---|
mxgraph.bpmn.event.start |
Start Event |
mxgraph.bpmn.event.end |
End Event |
mxgraph.bpmn.event.terminateEnd |
Terminate End |
mxgraph.bpmn.event.timerStart |
Timer Start |
mxgraph.bpmn.event.timerCatching |
Timer Intermediate |
mxgraph.bpmn.event.messageStart |
Message Start |
mxgraph.bpmn.event.messageCatching |
Message Catching |
mxgraph.bpmn.event.messageEnd |
Message End |
mxgraph.bpmn.event.errorEnd |
Error End |
mxgraph.bpmn.event.errorBound |
Error Boundary |
mxgraph.bpmn.event.signalStart |
Signal Start |
mxgraph.bpmn.event.signalEnd |
Signal End |
What ships with it
10 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.
- examples/approval-workflow.md 3.4 KB
- examples/customer-service.md 3.7 KB
- examples/delivery-case.md 879 B
- examples/eip-messaging.md 3.6 KB
- examples/etl-pipeline.md 3.5 KB
- examples/event-driven.md 3.9 KB
- examples/microservice-orchestration.md 3.5 KB
- examples/order-processing.md 3.0 KB
- examples/value-stream.md 4.3 KB
- references/delivery-verification.md 700 B
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 Changed · +17 lines 24220358dd3c
- 1mo ago First seen · 199 lines · 43 tokens per session scan A d2f2ad2911bc
bpmn is a skill published in the GitHub repository guoliang1114-boop/AriaAI (40 stars, last pushed 12d ago), licensed MIT. It adds 43 tokens to every session and 2,557 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.
Other skills, from other repositories
datamodel-code-generator
Use this skill when the user wants Python data models, Pydantic models, dataclasses, TypedDicts, msgspec structs, or type-safe Python classes generated from OpenAPI, AsyncAPI, JSON Schema, GraphQL, JSON/YAML/CSV sample data, MCP tool schemas, Protocol Buffers, XML Schema, Apache Avro, or existing Python model objects.…
company-brain
How an agent should operate as one mind inside a shared Company Brain built on Caura — recall before acting, obey fleet keystones, reuse and publish skills, and report outcomes so every task compounds across the whole organization. Use this whenever you work as part of a Caura-connected team or fleet and your work…
secops-investigate
Expert guidance for deep security incident and entity investigations in Google SecOps. Use when investigating cases, analyzing entities (hosts, IPs, domains, hashes, users), extracting and searching UDM events, performing asset and user timeline analysis, and detecting lateral movement across enterprise networks.…
aws-incident-response
Investigate AWS credential compromise, STS session abuse, and API breaches; produce an evidence-backed timeline, containment plan, and incident handoff.
mastering-python-skill
Modern Python coaching covering language foundations through advanced production patterns. Use when asked to "write Python code", "explain Python concepts", "set up a Python project", "configure Poetry or PDM", "write pytest tests", "create a FastAPI endpoint", "run uvicorn server", "configure alembic migrations"…
Agent Management
Create, edit, upgrade, delete, and audit agents.