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 Zate/cc-plugins --skill d2git clone --depth 1 https://github.com/Zate/cc-pluginsWrote 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/zate/cc-plugins/d2)<a href="https://agentmods.dev/skills/zate/cc-plugins/d2"><img src="https://agentmods.dev/badge/skills/zate/cc-plugins/d2/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/zate/cc-plugins/d2"><img src="https://agentmods.dev/badge/skills/zate/cc-plugins/d2.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 | $0.00061 | $0.01400 |
| Opus 5.5 | $0.00024 | $0.00560 |
| Sonnet 5.5 | $0.00012 | $0.00280 |
| Haiku 4.5 | $0.00006 | $0.00140 |
Grade C, and why
d2 scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://d2lang.com/install.sh | sh -s -- Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://d2lang.com/install.sh | sh -s -- How it starts
The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
D2 Diagram Skill
Generate diagrams using D2's declarative syntax. D2 produces clean, modern-looking diagrams with excellent auto-layout, nested containers, and multiple layout engines.
When to use D2:
- Architecture diagrams with nested components (D2's container nesting is excellent)
- Clean, modern aesthetic without manual positioning
- User has d2 installed or prefers it
- Network/infrastructure diagrams
- Deployment diagrams with hierarchical grouping
When another format is better:
- Maximum visual customization (SVG)
- Diagrams in GitHub/GitLab markdown (Mermaid -- D2 doesn't render natively)
- Whiteboard/sketch aesthetic (Excalidraw)
- ER diagrams, Gantt charts (Mermaid has better support)
Consult the design-system skill for color, composition, and quality rules.
Syntax Quick Reference
Basic Connections
server -> database: query
database -> server: results
client -> server: HTTPS
Arrow types:
->directed (default)<->bidirectional--undirected
Shapes and Labels
# Named with label
api: API Gateway
# Shapes
db: Database {
shape: cylinder
}
user: User {
shape: person
}
decision: Route? {
shape: diamond
}
queue: Messages {
shape: queue
}
Available shapes: rectangle (default), square, page, parallelogram, document, cylinder, queue, package, step, callout, stored_data, person, diamond, oval, circle, hexagon, cloud.
Containers (Nested)
D2's killer feature -- nested containers for hierarchy:
aws: AWS {
vpc: VPC {
public: Public Subnet {
alb: Load Balancer {
shape: hexagon
}
}
private: Private Subnet {
app: App Server
db: Database {
shape: cylinder
}
app -> db: SQL
}
public.alb -> private.app: HTTP
}
}
Sequence Diagrams
shape: sequence_diagram
client: Client
server: Server
db: Database
client -> server: POST /users
server -> db: INSERT INTO users
db -> server: OK
server -> client: 201 Created
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.
- 1mo ago First seen · 237 lines · 61 tokens per session scan C b9997d2c2881
d2 is a skill published in the GitHub repository Zate/cc-plugins (10 stars, last pushed 2mo ago), licensed MIT. It adds 61 tokens to every session and 1,400 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
visual-ralph
Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ultragoal with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
glance-canonical-layouts
Use this skill to create home screen widgets using Jetpack Glance Canonical Layouts from the Android Platform Samples project, or when asked to implement standard widget layout patterns (including Check List, Image Grid, Snap Scrolling, and Standard Toolbar).
accessibility
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.