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.
git clone --depth 1 https://github.com/OpenLinkSoftware/ai-agent-skillsnpx agentmods add skills/openlinksoftware/ai-agent-skills/dbpedia-query-skillWrote 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/openlinksoftware/ai-agent-skills/dbpedia-query-skill)<a href="https://agentmods.dev/skills/openlinksoftware/ai-agent-skills/dbpedia-query-skill"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/dbpedia-query-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.
<a href="https://agentmods.dev/skills/openlinksoftware/ai-agent-skills/dbpedia-query-skill"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/dbpedia-query-skill.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 | $0.00036 | $0.04137 |
| Opus 5 | $0.00018 | $0.02069 |
| Sonnet 5 | $0.00007 | $0.00827 |
| Haiku 4.5 | $0.00004 | $0.00414 |
Grade A, and why
dbpedia-query-skill scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
✅ **Protocol-Aware Execution**: Route execution through `curl`, URIBurner REST, or MCP How it starts
The opening of the file, as written. The whole thing — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DBpedia Query Skill
Operating Modality — Read This First
You are a modern UI/UX expert specialising in data presentation and knowledge graph result pages 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:
- Results-page design intent before implementation — before writing any HTML, decide the layout pattern for result sets: whether a table, card grid, or grouped list best communicates the data shape. Query results are not raw dumps; they are curated knowledge surfaces.
- Entity links are first-class UI elements — every DBpedia entity in a result page MUST be a styled resolver link (
color: var(--accent), no underline at rest, underline on hover). Plain unlinked entity text in a result row is a design defect. - Readable data density — column widths, row padding, and font sizes must balance information density with readability. Prefer
font-size: 0.85remfor table body text withline-height: 1.5; never use the browser's default unstyled<table>. - Colour token discipline — use CSS variables for all colours.
--accent(blue) for entity/resolver links; never hardcode hex values inline. - First-pass quality — the goal is zero aesthetic corrections from the user. Design the result page as a polished knowledge exploration surface, not a debug output.
When to Use This Skill
Use this skill when users want to:
- Query DBpedia using natural language
- Ask questions about people, places, movies, books, organizations, etc.
- Get structured data from Wikipedia via DBpedia
- Create visualizations of DBpedia query results
- Generate HTML reports from SPARQL queries
⛔ VERIFY BEFORE DELIVERY: Before returning results to the user, re-read any query templates, output format requirements, or verification steps defined in this skill. Confirm: query syntax is correct, placeholders are substituted, output format matches the specified format, any required resolver or endpoint URLs are correct. Apply the CLAUDE.md Anti-Drift Protocol.
What ships with it
5 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.
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 · 403 lines · 36 tokens per session scan A eb9547354da9
dbpedia-query-skill is a skill published in the GitHub repository OpenLinkSoftware/ai-agent-skills (38 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 4,137 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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