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 agentmods add skills/tternquist/marklogic-mcp/semaphore-integrationnpx skills add tternquist/marklogic-mcp --skill semaphore-integrationgit 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-integration)<a href="https://agentmods.dev/skills/tternquist/marklogic-mcp/semaphore-integration"><img src="https://agentmods.dev/badge/skills/tternquist/marklogic-mcp/semaphore-integration.svg" alt="Measured on agentmods" 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 | $0.00110 | $0.01762 |
| Opus 5 | $0.00055 | $0.00881 |
| Sonnet 5 | $0.00022 | $0.00352 |
| Haiku 4.5 | $0.00011 | $0.00176 |
Grade A, and why
semaphore-integration 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 4d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Semaphore + MarkLogic Integration
Choose a pattern
| Pattern | How it works | Best for |
|---|---|---|
| A. Ingest + classify (preferred for new pipelines) | Flux calls the CLS inline via --classifier-* flags; categories written at ingest |
new data pipelines; no raw/enriched split needed |
| B. Reprocess + enrich | Documents already loaded; an SJS transform calls the CLS via xdmp.httpPost() and patches each doc, parallelised by Flux |
legacy data; adding Semaphore to an existing deployment |
| C. Transform on ingest | A REST transform maps raw→canonical and classifies in one step; Flux passes --transform <name> |
simultaneous mapping and classification |
| D. DHF pipeline | Ingestion → Mapping → custom Semaphore step → optional Mastering | multiple sources; STAGING/FINAL split; entity mastering |
Default to Pattern A. It runs outside MarkLogic, so it sidesteps the outbound-HTTP restrictions that make B fragile (see the network note below).
Configuration
CLS (Classification Server) — required for classification:
SEMAPHORE_HOST, optionallySEMAPHORE_SCS_PORT(default 5058)- or
SEMAPHORE_URL=http://<host>:<port>for an explicit override - no authentication by default
- verify with
semaphore_status
KMM (Knowledge Model Manager / Studio) — required for taxonomy authoring:
SEMAPHORE_USERNAMEandSEMAPHORE_PASSWORD— KMM uses Java EE form auth, not Basic auth, so these are a separate credential path from the CLSSEMAPHORE_KMM_PORT(default 5080)- verify with
semaphore_studio_status
If semaphore_classify works but semaphore_kmm_* fails, the problem is almost always
these KMM-specific settings, not the CLS.
Discovery before designing
semaphore_publish_sets— which taxonomy rule sets are loaded and active in the CLSsemaphore_classes— classification class names (taxonomy domain names)semaphore_classifywith a sample snippet andthreshold=0— validate real output
If no rule sets are loaded, use semaphore_kmm_model_create + semaphore_kmm_skos_load
to import a vocabulary, then publish. The full authoring workflow — including the
mandatory SKOS-XL reification step — is in the semaphore-taxonomy skill.
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.
- 4d ago First seen · 150 lines · 110 tokens per session scan A 6946b4fcee3e
semaphore-integration is a skill published in the GitHub repository tternquist/marklogic-mcp (3 stars, last pushed 13d ago), licensed MIT. It adds 110 tokens to every session and 1,762 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 2026-08-31.
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