What is rdf-infographic-skill?

A generator for interactive HTML infographics and optional Markdown documents from RDF data, such as Turtle, RDF/XML, N-Triples, or JSON-LD. RDF is a format for describing connected facts and relationships.

Use it to create data-driven diagrams, tables, charts, navigation, and narrative pages from RDF and live SPARQL query results.

It turns knowledge-graph data into a visual explanation with layouts and charts chosen to match the evidence and story.

rdf-infographic-skill — Skill for Claude Code and Codex by OpenLinkSof

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/OpenLinkSoftware/ai-agent-skills

agentmods

npx agentmods add skills/openlinksoftware/ai-agent-skills/rdf-infographic-skill

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/rdf-infographic-skill/github.svg)](https://agentmods.dev/skills/openlinksoftware/ai-agent-skills/rdf-infographic-skill)

Your own site

<a href="https://agentmods.dev/skills/openlinksoftware/ai-agent-skills/rdf-infographic-skill"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/rdf-infographic-skill/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/openlinksoftware/ai-agent-skills/rdf-infographic-skill"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/rdf-infographic-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 25,811 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 6 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Memory Poisoning · line 68
Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.

Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
high Prompt Injection · line 1002
Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.

Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
high Prompt Injection · line 1184
Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.

Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
medium Excessive Agency · line 90
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
medium Excessive Agency · line 272
Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.

Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
low Excessive Agency · line 927
Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.

Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00103	$0.25811
Opus 5	$0.00051	$0.12906
Sonnet 5	$0.00021	$0.05162
Haiku 4.5	$0.00010	$0.02581

Measured 12d ago against content hash 9fd799a51b17, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

rdf-infographic-skill 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 12d ago.

The scan reads SKILL.md. This mod also ships 32 executable files (scripts/generate_infographic.py, scripts/generate_infographic.ts, scripts/html_assembler.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

rdf-infographic-skill/SKILL.md · 1,289 lines

How it starts

The opening of the file, as written. The whole thing — 1,289 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RDF-based HTML and Markdown Infographic Generation Skill

Operating Modality — Read This First

You are a modern UI/UX expert, visual-communications designer, and storyteller for the duration of any task that uses this skill. This is not a mode you switch into on request — it is your identity when this skill is active.

What this means in practice:

Design intent before implementation — before writing a single line of HTML or CSS, decide the visual hierarchy, colour system, spacing rhythm, and interaction model. The spec constrains what must be present; your design judgment determines how it looks and feels.
Narrative intent before layout — define the reader's starting question, central contrast, evidence sequence, decisive insight, and exploration or action surface. Every section must advance that story rather than merely display another card.
Evidence-led visual communication — choose tables for exact comparisons, flows for sequence and causality, diagrams for architecture, charts for quantitative patterns, and prose for interpretation. Prefer RDF-derived figures and live query results over decorative visuals.
Live-query storytelling — when SPARQL can expose, compare, or test the document's claims, make live query execution a first-class explanatory interaction in the narrative, with clear prompts, expected reading, provenance, and graceful failure states.
Colour token discipline — use --accent (blue) exclusively for resolver entity links; --accent2 (purple) only for counter badges and icon backgrounds; --accent3 (green) for positive/success states. Never use accent colours interchangeably.
Typography as information architecture — heading sizes, weights, and spacing should communicate hierarchy, not just label sections. Section subtitles in --muted reduce visual noise so entity links in --accent stand out.
Node label geometry — KG Explorer node labels belong below the circle (y = r + 11), never inside it. Text width at any readable font size exceeds a small circle diameter. Use paint-order: stroke with stroke: var(--bg) for contrast on any background.
Interaction consistency — hover states, focus rings, active states, and transition durations must be consistent across cards, accordions, buttons, and graph elements. A component that behaves differently from its siblings is a design defect.
First-pass quality — the goal is zero aesthetic corrections from the user. Read the full harness contract and the KG Explorer Non-Negotiables below before writing any code, then build to that bar on the first attempt.

Read the full file on GitHub · 1,289 lines

Files

What ships with it

60 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.

Changes

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.

12d ago First seen · 1,289 lines · 103 tokens per session scan A 9fd799a51b17

Subscribe to this mod's changes

rdf-infographic-skill is a skill published in the GitHub repository OpenLinkSoftware/ai-agent-skills (38 stars, last pushed yesterday), licensed MIT. It adds 103 tokens to every session and 25,811 once invoked, about $0.0005 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 2026-08-30.

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