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 saajunaid/caddis-plugin --skill plantumlgit clone --depth 1 https://github.com/saajunaid/caddis-pluginWrote 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/saajunaid/caddis-plugin/plantuml)<a href="https://agentmods.dev/skills/saajunaid/caddis-plugin/plantuml"><img src="https://agentmods.dev/badge/skills/saajunaid/caddis-plugin/plantuml/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/saajunaid/caddis-plugin/plantuml"><img src="https://agentmods.dev/badge/skills/saajunaid/caddis-plugin/plantuml.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00012 | $0.01327 |
| Opus 5.5 | $0.00005 | $0.00531 |
| Sonnet 5.5 | $0.00002 | $0.00265 |
| Haiku 4.5 | $0.00001 | $0.00133 |
Grade A, and why
plantuml 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PlantUML Diagram Generation
Generate PlantUML diagrams for architecture, API flows, and process visualization using project branding.
Project Context — Read
project-config.mdin the repo root for brand tokens, color palette, and project metadata.
Brand Theme
Use this block at the start of your .puml files for consistent brand styling:
@startuml
skinparam backgroundColor #F8F9FA
skinparam defaultFontSize 14
skinparam defaultFontColor #1F2937
skinparam rectangle {
BackgroundColor #FFF7ED
BorderColor #F97316
FontColor #1F2937
}
skinparam participant {
BackgroundColor #F0F9FF
BorderColor #0EA5E9
}
skinparam database {
BackgroundColor #ECFDF5
BorderColor #10B981
}
skinparam arrow {
Color #1F2937
}
skinparam arrowColor #E10A0A
' Use arrowColor for key flows; Color for default
@enduml
For sequence diagrams, you can add:
skinparam sequenceArrowColor #E10A0A
skinparam sequenceLifeLineBorderColor #1F2937
skinparam sequenceParticipantBackgroundColor #F8F9FA
skinparam sequenceParticipantBorderColor #E10A0A
Standard Participants
When documenting systems, use consistent participant names where applicable:
| Participant | Use case |
|---|---|
| Streamlit App | Streamlit dashboards |
| FastAPI | API services |
| SQL Server | Data layer |
| Redis / Cache | Caching layer |
| User | End user / operator |
Example:
@startuml
actor User
participant "Streamlit App" as app
participant "FastAPI" as api
database "SQL Server" as db
User -> app : Request
app -> api : API call
api -> db : Query
db --> api : Result
api --> app : Response
app --> User : Display
@enduml
Diagram Types
| Type | Best For |
|---|---|
| Sequence | API calls, request/response flows |
| Class | OOP design, data models |
| Component | System architecture, microservices |
| Activity | Workflows, business logic |
| State | State machines, lifecycles |
| Deployment | Infrastructure, network topology |
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 · 229 lines · 12 tokens per session scan A b3b5af836e26
plantuml is a skill published in the GitHub repository saajunaid/caddis-plugin (0 stars, last pushed 2d ago), licensed MIT. It adds 12 tokens to every session and 1,327 once invoked, about $0.0000 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 2026-09-03.
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