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 StarryCod/cogitum --skill design-mdgit clone --depth 1 https://github.com/StarryCod/cogitumWrote 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/starrycod/cogitum/design-md)<a href="https://agentmods.dev/skills/starrycod/cogitum/design-md"><img src="https://agentmods.dev/badge/skills/starrycod/cogitum/design-md/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/starrycod/cogitum/design-md"><img src="https://agentmods.dev/badge/skills/starrycod/cogitum/design-md.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 | $0.00014 | $0.01842 |
| Opus 5.5 | $0.00006 | $0.00737 |
| Sonnet 5.5 | $0.00003 | $0.00368 |
| Haiku 4.5 | $0.00001 | $0.00184 |
Grade A, and why
design-md 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.
This is a copy
91% identical to design-md — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DESIGN.md Skill
DESIGN.md is Google's open spec (Apache-2.0, google-labs-code/design.md) for
describing a visual identity to coding agents. One file combines:
- YAML front matter — machine-readable design tokens (normative values)
- Markdown body — human-readable rationale, organized into canonical sections
Tokens give exact values. Prose tells agents why those values exist and how to
apply them. The CLI (npx @google/design.md) lints structure + WCAG contrast,
diffs versions for regressions, and exports to Tailwind or W3C DTCG JSON.
When to use this skill
- User asks for a DESIGN.md file, design tokens, or a design system spec
- User wants consistent UI/brand across multiple projects or tools
- User pastes an existing DESIGN.md and asks to lint, diff, export, or extend it
- User asks to port a style guide into a format agents can consume
- User wants contrast / WCAG accessibility validation on their color palette
For purely visual inspiration or layout examples, use popular-web-designs
instead. For process and taste when designing a one-off HTML artifact
from scratch (prototype, deck, landing page, component lab), use
claude-design. This skill is for the formal spec file itself.
File anatomy
---
version: alpha
name: Heritage
description: Architectural minimalism meets journalistic gravitas.
colors:
primary: "#1A1C1E"
secondary: "#6C7278"
tertiary: "#B8422E"
neutral: "#F7F5F2"
typography:
h1:
fontFamily: Public Sans
fontSize: 3rem
fontWeight: 700
lineHeight: 1.1
letterSpacing: "-0.02em"
body-md:
fontFamily: Public Sans
fontSize: 1rem
rounded:
sm: 4px
md: 8px
lg: 16px
spacing:
sm: 8px
md: 16px
lg: 24px
components:
button-primary:
backgroundColor: "{colors.tertiary}"
textColor: "#FFFFFF"
rounded: "{rounded.sm}"
padding: 12px
button-primary-hover:
backgroundColor: "{colors.primary}"
---
## Overview
Architectural Minimalism meets Journalistic Gravitas...
## Colors
- **Primary (#1A1C1E):** Deep ink for headlines and core text.
- **Tertiary (#B8422E):** "Boston Clay" — the sole driver for interaction.
## Typography
Public Sans for everything except small all-caps labels...
## Components
`button-primary` is the only high-emphasis action on a page...
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 · 200 lines · 14 tokens per session scan A 351fb8384611
design-md is a skill published in the GitHub repository StarryCod/cogitum (12 stars, last pushed 5mo ago), licensed MIT. It adds 14 tokens to every session and 1,842 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to design-md, differing in 19 lines, and is treated as a copy.
Other skills, from other repositories
html-artifacts
Author the HTML for a plan artifact, dashboard iframe, or Slack attachment — structure, design plan, available runtime, theming, and craft. Read this before writing HTML for publishartifact, outputiframe, or slackattachhtml.
schematics
Creates or refines publication-quality technical diagrams with the native generateimage tool (Nano Banana Pro through Ace or a Gemini key, GPT Image 2 through an OpenAI key), method and architecture overviews, pipelines, CONSORT and PRISMA flows, experimental workflows, biological pathways, circuits and conceptual…
genui
Render structured, glanceable, interactive UI in the chat instead of plain text — dashboards, stat cards, filterable tables, charts, choice panels, forms, quizzes. Panels can carry an id so later turns update them in place, and most interaction resolves in the browser with no round-trip. Read this before calling…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, UI mockups, product shots, or transparent-background cutouts. Use when the result should be an image asset rather than repo-native SVG, HTML/CSS, or canvas.
artifact-design
Design guidance for any HTML/Markdown file shown in octo's Artifacts panel — reports, dashboards, architecture/system diagrams, generated UIs, slide-style pages, 3D scenes. Read this BEFORE writing the file, not after — it calibrates how much design effort the request warrants and covers the panel's real constraints…
pypi-release
This skill should be used when releasing tunacode-cli to PyPI. It keeps the existing local release checks, then hands the actual PyPI upload to a GitHub Actions workflow that uses the repository's PYPIAPITOKEN secret.