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.
git clone --depth 1 https://github.com/aneja5/forge-skillsWrote 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/commands/aneja5/forge-skills/dataviz)<a href="https://agentmods.dev/commands/aneja5/forge-skills/dataviz"><img src="https://agentmods.dev/badge/commands/aneja5/forge-skills/dataviz/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/commands/aneja5/forge-skills/dataviz"><img src="https://agentmods.dev/badge/commands/aneja5/forge-skills/dataviz.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 | $0.00011 | $0.00215 |
| Opus 5.5 | $0.00004 | $0.00086 |
| Sonnet 5.5 | $0.00002 | $0.00043 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
dataviz 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.
What it actually says
Invoke the forge-skills:data-visualization skill.
Read .forge/design-system.md (colors + typography) and .forge/component-library.md (chart components). Define chart-type selection rules as a decision tree (line for trends, donut for part-of-whole, horizontal bar for comparison, histogram for distribution, etc. — no ad-hoc choices). Define data color encoding from design-system semantic tokens — never raw hex. Set axis + label conventions (Y starts at 0, units always shown, consistent date format). Define responsive behavior at each breakpoint and tap-tooltip paths (no hover-only). Empty states with context. Animation per references/motion-system.md, respecting prefers-reduced-motion. Document domain-specific patterns if the product is data-heavy.
Reads: .forge/design-system.md + .forge/component-library.md Produces: .forge/data-visualization.md Next: build charts during /build; run /polish to verify every chart has an empty state and tap-tooltip path.
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 · 12 lines · 11 tokens per session scan A d98a4ac50638
dataviz is a command published in the GitHub repository aneja5/forge-skills (3 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 215 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 2026-08-31.
Other commands, from other repositories
brand
Generate a full editorial brand-guidelines book for any URL. 14 chapters covering brand essence/archetype, colour, typography, spacing, shape, iconography, motion, components, voice, accessibility, tokens, and how-to-use guidance. Print-ready, dark-mode toggle, hand-off-ready single HTML.
pack
Bundle every designlang output (DTCG tokens, Tailwind, shadcn, Figma vars, motion, anatomy, Storybook, prompts) into one polished design-system directory ready to zip and ship.
grade
Generate a shareable HTML "Design Report Card" — letter grade, 8 dimensions, evidence (palette, type, rhythm), strengths + fixes, plus an SVG badge.
figma-component-library
Generate a complete component library in Figma from a design system config — atoms, molecules, and organisms with all variants, auto layout, and component properties.
print-audit
Audit a print layout for bleed, safe zone, color mode, font embedding, and page break rules. Optionally audits brand consistency when brand context is provided.
dashboard-layout
Design and build a complete dashboard layout — sidebar navigation, KPI cards, chart areas, data tables, filter bar, and responsive behavior. Outputs production-ready HTML/CSS.