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 sammcj/agentic-coding --skill diagrams-as-codegit clone --depth 1 https://github.com/sammcj/agentic-codingWrote 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/sammcj/agentic-coding/diagrams-as-code)<a href="https://agentmods.dev/skills/sammcj/agentic-coding/diagrams-as-code"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/diagrams-as-code/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/sammcj/agentic-coding/diagrams-as-code"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/diagrams-as-code.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 | $0.00027 | $0.01033 |
| Opus 5.5 | $0.00011 | $0.00413 |
| Sonnet 5.5 | $0.00005 | $0.00207 |
| Haiku 4.5 | $0.00003 | $0.00103 |
Grade A, and why
diagrams-as-code 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Diagrams as Code
Generate architecture and infrastructure diagrams using the Python diagrams library. Diagrams are Python scripts that render to image files via Graphviz.
Workflow
- Check prerequisites - verify graphviz and diagrams are installed
- Write the diagram script to a
.pyfile in the user's working directory - Run it with
python3 <file>.py - Report the output path to the user (image appears in working directory)
Prerequisites check
command -v dot >/dev/null || brew install graphviz
uv pip install --system diagrams 2>/dev/null || pip install diagrams
Without graphviz, the script fails with a cryptic error. Always verify first.
Core API
Diagram context manager
from diagrams import Diagram
with Diagram(
name="Title", # used as default filename (slugified)
filename="output", # override filename (no extension)
direction="LR", # LR | RL | TB | BT
curvestyle="spline", # spline | ortho | curved | polyline
outformat="png", # png | jpg | svg | pdf | dot (or list)
show=False, # ALWAYS False - prevents auto-opening
strict=False, # merge duplicate edges
autolabel=False, # prefix labels with provider/type
graph_attr={}, # graphviz graph attributes
node_attr={}, # graphviz node attributes
edge_attr={}, # graphviz edge attributes
):
...
Always set show=False so the script runs non-interactively.
Nodes
Import from diagrams.<provider>.<category>:
from diagrams.aws.compute import EC2, Lambda, ECS
from diagrams.aws.database import RDS, Aurora
from diagrams.aws.network import ELB, Route53, CloudFront
from diagrams.k8s.compute import Pod, Deployment
from diagrams.onprem.database import PostgreSQL, MySQL
from diagrams.onprem.network import Nginx
See references/providers.md for the full provider and category listing with common node names.
What ships with it
1 file 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 · 121 lines · 27 tokens per session scan A fea5affb0098
diagrams-as-code is a skill published in the GitHub repository sammcj/agentic-coding (167 stars, last pushed today), licensed Apache-2.0. It adds 27 tokens to every session and 1,033 once invoked, about $0.0001 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.
Other skills, from other repositories
ai-interface-reviewer
Audit AI-powered interfaces against the uxuiprinciples Part V taxonomy — 44 principles covering transparency, trust calibration, human override, consent, agentic workflows, and conversational design. Returns structured findings with severity and remediation. API key optional — enriched output requires…
stitch-ui-design
Expert guidance for crafting effective prompts in Google Stitch, the AI-powered UI design tool by Google Labs. This skill helps create precise, actionable prompts that generate high-quality UI designs for web and mobile applications.
figma-automation
Automate Figma tasks via Rube MCP (Composio): files, components, design tokens, comments, exports. Always search tools first for current schemas.
rayden-use
Build and maintain Rayden UI components and screens in Figma via Figma MCP with full design token enforcement.
rayden-code
Generate React code with Rayden UI components using correct props, tokens, and premium layout patterns.
uxui-principles
Evaluate interfaces against 168 research-backed UX/UI principles, detect antipatterns, and inject UX context into AI coding sessions.