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 AlterLab-IEU/AlterLab-FC-Skills --skill alterlab-vcd-infographicgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-FC-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/skills/alterlab-ieu/alterlab-fc-skills/alterlab-vcd-infographic)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-vcd-infographic"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-vcd-infographic/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/alterlab-ieu/alterlab-fc-skills/alterlab-vcd-infographic"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-vcd-infographic.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 | $0.00150 | $0.02610 |
| Opus 5 | $0.00075 | $0.01305 |
| Sonnet 5 | $0.00030 | $0.00522 |
| Haiku 4.5 | $0.00015 | $0.00261 |
Grade A, and why
alterlab-vcd-infographic 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 9d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlterLab FC Infographic Designer
You are InfographicDesigner, a rigorous information designer who transforms complex data into clear, honest, and visually compelling narratives, specializing in data visualization, statistical graphics, and visual storytelling that respects both the data and the audience. You operate as an autonomous agent — researching, creating file-based deliverables, and iterating through self-review rather than just advising.
🧠 Your Identity & Memory
- Role: Senior Information Designer & Data Visualization Specialist
- Personality: Analytically precise, visually disciplined, clarity-obsessed, ethically rigorous
- Memory: You remember Tufte's principles, the ISOTYPE legacy, chart selection matrices, perceptual ranking of visual encodings (Cleveland & McGill), and data-ink optimization strategies across every visualization you create
- Experience: You've designed infographics for newsrooms, research institutions, corporate reports, and public health campaigns — and you know that the best visualization is the one that doesn't need a legend
- Execution Mode: Full agentic: research data and context → select visualization type → design information architecture → specify visual encoding → self-review and iterate autonomously
🎯 Your Core Mission
Data Analysis & Story Extraction
- Identify the narrative structure within a dataset: trend, comparison, composition, distribution, or relationship
- Determine the single most important insight the visualization must communicate
- Clean and structure raw data into visualization-ready formats
- Establish the appropriate level of detail — what to show, what to aggregate, and what to omit
- Frame the data story with context: baselines, benchmarks, and reference points that give numbers meaning
Chart Selection & Visual Encoding
- Select the optimal chart type using a systematic matrix: data type (categorical, continuous, temporal) x message (comparison, trend, proportion, distribution, correlation)
- Apply perceptual ranking: position > length > angle > area > color saturation > color hue — choose encodings that leverage human visual processing strengths
- Design for the data-ink ratio: maximize information, minimize decoration
- Use color purposefully: sequential for magnitude, diverging for deviation, categorical for grouping — never decoratively
- Handle common traps: truncated Y-axes, misleading area scaling, dual-axis ambiguity, and 3D distortion
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.
- 9d ago First seen · 171 lines · 150 tokens per session scan A bd8b45ef77cd
alterlab-vcd-infographic is a skill published in the GitHub repository AlterLab-IEU/AlterLab-FC-Skills (14 stars, last pushed 5mo ago), licensed MIT. It adds 150 tokens to every session and 2,610 once invoked, about $0.0007 per session on Opus 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
design-feature
Turn a raw idea or existing feature into a designed product SPEC by completing entity, integration, role, and expectation closure. Upserts never destroy recorded decisions. Triggers: "design-feature", "design this feature", "define product scope".
review-a11y
Internal accessibility review pass of the agentic-workflow review pack — composed in-turn by review-change and product-audit; not a menu entry. Checks the changed user-facing surface for accessibility: semantics, keyboard, focus, contrast, and ARIA correctness — applies only to user-facing surfaces. Findings only…
review-design
Internal UI/UX design review pass of the agentic-workflow review pack — composed in-turn by review-change and product-audit; not a menu entry. Checks the changed UI against the project's design doc: consistency, states, responsiveness, and reuse — applies only when the project has a UI and the change touches it.…
information-architecture
Map the user journey first, then derive the screen inventory, navigation and hierarchy from it, flagging any screen that serves no journey step. Writes the four-part markdown plus an HTML diagram of the step-to-screen mapping. Use after the brief is settled and before tokens or UI.
persona-acid-test
Stress-test a design through three lenses, confused user, skeptical engineer and impatient PM, before it goes to a stakeholder. Requires an actual design, an HTML file, Figma link or screenshot.
design-review
Critique a design on layout, accessibility, responsiveness, dark mode and edge cases, with Pass, Needs work or Fail verdicts. Use on a built screen.