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 sparql-faceted-browsergit 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/sparql-faceted-browser)<a href="https://agentmods.dev/skills/openlinksoftware/ai-agent-skills/sparql-faceted-browser"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/sparql-faceted-browser/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/sparql-faceted-browser"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/sparql-faceted-browser.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 | $0.00203 | $0.02659 |
| Opus 5.5 | $0.00081 | $0.01064 |
| Sonnet 5.5 | $0.00041 | $0.00532 |
| Haiku 4.5 | $0.00020 | $0.00266 |
Grade A, and why
sparql-faceted-browser 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 today.
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.
5. Run the scripts with Python 3 and `curl` available; they need network access to the endpoint (and, for How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SPARQL Faceted Browser Skill
Natural language is the interface. The SPARQL Faceted Browser app is a view the conversation calls up when a picture beats a paragraph: a big set to scan, facets to narrow by, a pivot to follow. Everything the app can show is addressable by a link, so the skill can open it on the exact view, and read a pasted link back into the conversation.
Two scripts carry the contract. Use them; never hand-write an app link or improvise the query shapes.
| Script | Does |
|---|---|
scripts/fct_state.py |
Builds, edits and decodes app links (build, edit, decode), resolves the app instance (app, check-app) |
scripts/fct_query.py |
Runs the same SPARQL the app runs for a view and prints rows (Markdown by default) plus the link to that view |
Both accept the same left-to-right trail options (--text, --type, --pv, --pivot, --values-of, --describe,
…; see python3 scripts/fct_state.py --help). Worked examples for every interaction mode are in
examples/interaction-modalities.md; read it the first time the skill is used in a session.
1. Which app instance
The app can live at any URL. Resolution order (first match wins):
- The user names one in the conversation: "use the browser at https://…", "open it on my instance https://…",
"my faceted browser is at https://…". Pass it as
--app URLon every call for the rest of the session. FCT_APP_URLenvironment variable, when set.- Default: URIBurner's instance,
https://linkeddata.uriburner.com/DAV/demos/daas/sparql-faceted-browser-claude_opus_5_5.html.
The first time a non-default instance is named, verify it before linking to it:
python3 scripts/fct_state.py check-app https://host/path/app.html
check-app confirms the page is a SPARQL Faceted Browser that understands #s= (view state) and &cfg= (link
language). If it is not, say so and offer the default instance; if it is an older build without &cfg=, links still
open but in the viewer's own language — mention it when a language was requested. A pasted link already names its
instance: edit and --link keep it unless --app overrides.
What ships with it
10 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.
- assets/sparql-faceted-browser.html 304 KB
- CHANGELOG.md 12 KB
- examples/interaction-modalities.md 9.7 KB
- README.md 1.9 KB
- references/endpoints.md 6.6 KB
- references/nl-to-trail.md 4.0 KB
- references/query-templates.md 4.9 KB
- references/state-schema.md 4.5 KB
- scripts/fct_query.py 27 KB runs code
- scripts/fct_state.py 19 KB runs code
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.
- today Changed · +2 lines dd3f4a28ad5f
- 3d ago First seen · 140 lines · 203 tokens per session scan A f25cd84b4ac0
sparql-faceted-browser is a skill published in the GitHub repository OpenLinkSoftware/ai-agent-skills (41 stars, last pushed today), licensed MIT. It adds 203 tokens to every session and 2,659 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-10-16.
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