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 virtuoso-rdf-bulk-loadergit 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/virtuoso-rdf-bulk-loader)<a href="https://agentmods.dev/skills/openlinksoftware/ai-agent-skills/virtuoso-rdf-bulk-loader"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/virtuoso-rdf-bulk-loader/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/virtuoso-rdf-bulk-loader"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/virtuoso-rdf-bulk-loader.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 | $0.00110 | $0.01085 |
| Opus 5 | $0.00055 | $0.00543 |
| Sonnet 5 | $0.00022 | $0.00217 |
| Haiku 4.5 | $0.00011 | $0.00109 |
Grade A, and why
virtuoso-rdf-bulk-loader 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.
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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Virtuoso RDF Bulk Loader — isql loader generation from a source folder
Generate a ready-to-run isql .sql from a local folder of RDF files. Two modes:
| Mode | Mechanism | Use for |
|---|---|---|
dir (default) |
ld_dir + rdf_loader_run — one named graph for the whole folder; Virtuoso auto-detects format (N-Triples, Turtle, RDF/XML, N-Quads, TriG, JSON-LD, Notation3) and reads gzip/bzip2 natively |
Simple bulk ingestion, mixed formats, compressed archives |
per-file |
TTLP_MT — one named graph per file (Turtle family: .ttl, .nt, .trig), optional auto prefix-preamble and CLEAR-before-load |
Exact per-document graphs (e.g. an agent memory store), re-loadable deltas |
Workflow
- Elicit (never guess): source folder (must be accessible to the Virtuoso server process —
ld_dirregisters server-side paths), target graph IRI (dir mode), file pattern or format list. - Generate:
python3 scripts/generate-bulk-load-sql.py \ --source-dir /path/to/rdf/ \ --graph https://example.com/my-graph \ --pattern '*.ttl' \ --out bulk-load.sql - Run (your credentials, never displayed):
isql 1111 dba <dba-password> -f bulk-load.sql - Monitor (the generated script ends with the load_list check):
select * from db.dba.load_list where ll_state <> 2;ll_state 2= done; rows remaining = still pending/errored (ll_errorcolumn). - Verify (generated script ends with per-graph counts):
SPARQL SELECT ?g (COUNT(*) AS ?t) WHERE { GRAPH ?g { ?s ?p ?o } } GROUP BY ?g;
Options (generate-bulk-load-sql.py)
| Flag | Default | Meaning |
|---|---|---|
--source-dir |
(required) | Folder containing the RDF files (server-visible path) |
--graph |
urn:dav:/DAV/home/kidehen/bulk-load/ |
Target named graph (dir mode) |
--pattern |
*.* |
ld_dir pattern, e.g. *.ttl, *.nt.gz, *.nq |
--formats |
— | Shorthand expanding to patterns, e.g. ttl,nt,nq |
--mode |
dir |
dir (ld_dir) or per-file (TTLP_MT per document) |
--graph-base |
urn:dav:/DAV/home/kidehen/bulk-load/ |
IRI prefix for per-file graphs (file relpath appended) |
--preamble |
off | per-file mode: prepend store-wide prefix union so prefix-undeclared Turtle loads |
--clear |
off | Emit SPARQL CLEAR GRAPH before loading (idempotent re-runs) |
--out |
bulk-load.sql |
Output path |
--dry-run |
off | Print the script instead of writing |
What ships with it
1 file 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.
- 12d ago First seen · 62 lines · 110 tokens per session scan A 659253de03d4
virtuoso-rdf-bulk-loader is a skill published in the GitHub repository OpenLinkSoftware/ai-agent-skills (38 stars, last pushed yesterday), licensed MIT. It adds 110 tokens to every session and 1,085 once invoked, about $0.0006 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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