Borrowing it
Nothing to install: this file belongs to tternquist/marklogic-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tternquist/marklogic-mcp/master/.claude/skills/semaphore-taxonomy/SKILL.mdgit clone --depth 1 https://github.com/tternquist/marklogic-mcpWrote 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/tternquist/marklogic-mcp/semaphore-taxonomy)<a href="https://agentmods.dev/skills/tternquist/marklogic-mcp/semaphore-taxonomy"><img src="https://agentmods.dev/badge/skills/tternquist/marklogic-mcp/semaphore-taxonomy/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/tternquist/marklogic-mcp/semaphore-taxonomy"><img src="https://agentmods.dev/badge/skills/tternquist/marklogic-mcp/semaphore-taxonomy.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 | $0.00124 | $0.02760 |
| Opus 5.5 | $0.00050 | $0.01104 |
| Sonnet 5.5 | $0.00025 | $0.00552 |
| Haiku 4.5 | $0.00012 | $0.00276 |
Grade A, and why
semaphore-taxonomy 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 2mo 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 — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Semaphore Taxonomy Authoring
Build order (follow exactly — steps 5 and 6 are the ones people miss)
- Check connectivity —
semaphore_status,semaphore_studio_status - Create the model —
semaphore_kmm_model_create(name=…, default_namespace=…)→ model URI ismodel:<Name> - Author the SKOS Turtle — start from
templates/taxonomy-skeleton.ttl - Load it —
semaphore_kmm_skos_loadwithskos_content=<turtle> - Validate structure —
semaphore_taxonomy_validate - ⚠ Add SKOS-XL reification — REQUIRED, immediately after loading
- Fix plain-SKOS publish config —
semaphore_publish_config_fix_plain_skos - Publish —
semaphore_publish(wait_for_completion=true) - Confirm active —
semaphore_publish_setsshows the model (lowercased) as ACTIVE - Verify —
semaphore_classify(content=…, threshold=0)on representative text
⚠ The ConceptScheme URI convention
The ConceptScheme URI must be {namespace}{ModelId}Taxonomy. For a model named
Example in namespace http://example.com/tax/, that is
http://example.com/tax/ExampleTaxonomy.
Get this wrong and the publish appears to succeed but emits one rule — for the scheme root — instead of one per concept.
@prefix ns: <http://example.com/tax/> .
ns:ExampleTaxonomy a skos:ConceptScheme ;
skos:prefLabel "Example Taxonomy"@en ;
skos:hasTopConcept ns:TopConcept1 .
⚠ SKOS only — no OWL
KMM supports SKOS, not OWL. Loading an OWL ontology yields 0 concepts with no obvious error. Convert first:
| OWL | SKOS |
|---|---|
owl:Class |
skos:Concept |
rdfs:subClassOf |
skos:broader |
owl:Ontology |
skos:ConceptScheme |
sem:guid is generated automatically by KMM during semaphore_kmm_skos_load — no
manual INSERT needed.
Verifying a load
semaphore_kmm_sparql(model_uri="model:<Name>",
query="PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
SELECT (COUNT(?c) AS ?n)
WHERE { GRAPH <urn:x-evn-master:<Name>> { ?c a skos:Concept } }")
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.
- 2mo ago First seen · 222 lines · 124 tokens per session scan A b10d5e7a35cd
semaphore-taxonomy is a skill published in the GitHub repository tternquist/marklogic-mcp (4 stars, last pushed 1mo ago), licensed MIT. It adds 124 tokens to every session and 2,760 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-31.
semaphore-taxonomy compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| semaphore-taxonomytternquist/marklogic-mcp | Skill | 4 | 1mo ago | MIT | A | 124 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |