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 OpenLinkSoftware/ai-agent-skills --skill uriburner-opal-agent-skillsgit clone --depth 1 https://github.com/OpenLinkSoftware/ai-agent-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/openlinksoftware/ai-agent-skills/uriburner-opal-agent-skills)<a href="https://agentmods.dev/skills/openlinksoftware/ai-agent-skills/uriburner-opal-agent-skills"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/uriburner-opal-agent-skills/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/uriburner-opal-agent-skills"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/uriburner-opal-agent-skills.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 | $0.00065 | $0.09149 |
| Opus 5 | $0.00032 | $0.04574 |
| Sonnet 5 | $0.00013 | $0.01830 |
| Haiku 4.5 | $0.00006 | $0.00915 |
Grade A, and why
uriburner-opal-agent-skills 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 11d 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.
6. Direct `curl` as last resort How it starts
The opening of the file, as written. The whole thing — 1,230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
URIBurner OPAL Agent Skills
Overview
This skill provides comprehensive guidance for using URIBurner MCP Server's suite of tools for semantic data operations, Knowledge Graph exploration, and database management. URIBurner offers powerful native tools that should be used directly for queries and data operations.
Key Principle: Use URIBurner's native MCP tools (execute_spasql_query, sparqlQuery, etc.) for all standard operations. Only invoke ChatPromptComplete when the user explicitly requests Gemini-powered AI analysis or when using SPARQL Agent 121's advanced features.
→ For execution modalities and environment-specific routing: Read references/protocol-routing.md
⛔ PRE-BUILD CHECK: Before producing output, re-read the relevant workflow section above and re-read any checklists or verification gates defined in this skill. Confirm each checklist item before writing output. Build to pass — do not retro-fit. Apply the CLAUDE.md Anti-Drift Protocol: re-read spec section before build, gate-first validation, section-by-section delivery.
Execution Routing
Default execution order:
- URIBurner REST functions (unauthenticated or with existing session)
- Terminal-owned OAuth flow — when the endpoint requires OAuth 2.0 authentication, execute the OAuth flow from the terminal (authorization code, client credentials, or device flow), capture the Bearer token, and inject it into subsequent REST/OpenAPI calls via
Authorization: Bearer {token}headers - MCP via
https://linkeddata.uriburner.com/chat/mcp/messagesorhttps://linkeddata.uriburner.com/chat/mcp/sse - OPAL Agent routing using canonical OPAL-recognizable function names
- Authenticated LLM-mediated execution via
https://linkeddata.uriburner.com/chat/functions/chatPromptComplete - Direct
curlas last resort
If the user explicitly names a protocol, honor that preference instead of the default order.
Prerequisites
- Access to URIBurner MCP Server
- Understanding of SPARQL basics (recommended)
- Familiarity with semantic web concepts (helpful)
- Knowledge of SPARQL Agent 121 workflow (for advanced usage)
What ships with it
2 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.
- 11d ago First seen · 1,230 lines · 65 tokens per session scan A 500164b0a0d2
uriburner-opal-agent-skills is a skill published in the GitHub repository OpenLinkSoftware/ai-agent-skills (38 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 9,149 once invoked, about $0.0003 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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