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/azure/documentdb-agent-kit/full-text-searchnpx skills add Azure/documentdb-agent-kit --skill full-text-searchgit clone --depth 1 https://github.com/Azure/documentdb-agent-kitWrote 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/azure/documentdb-agent-kit/full-text-search)<a href="https://agentmods.dev/skills/azure/documentdb-agent-kit/full-text-search"><img src="https://agentmods.dev/badge/skills/azure/documentdb-agent-kit/full-text-search.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 | $0.00135 | $0.00743 |
| Opus 5 | $0.00068 | $0.00371 |
| Sonnet 5 | $0.00027 | $0.00149 |
| Haiku 4.5 | $0.00014 | $0.00074 |
Grade A, and why
documentdb-full-text-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full-Text Search — Azure DocumentDB ($search + createSearchIndexes)
Azure DocumentDB's full-text search is driven by search indexes built with the createSearchIndexes database command and queried through the $search aggregation stage. Scoring is BM25, exposed via $meta: "searchScore". The community $text operator and { field: "text" } index type are not the DocumentDB search path.
Key syntax points that differ from many blog posts and older docs:
- Index command is
createSearchIndexes(notcreateIndexes) — each index has anameand adefinition.mappings.fieldsblock;dynamic: falseis the safe default. - Custom analyzers live inside
definition.analyzersand are referenced per-field viaanalyzer/searchAnalyzer. $searchtargets an index by name viaindex: "<name>"— the engine does not auto-pick when multiple exist.- No
countfield inside$search— use a downstream{ $limit: N }stage. - No
compoundoperator yet — query one field at a time and merge in the application (seefts-multifield-index).
Rules
- fts-create-search-index — Create a search index via
runCommand({ createSearchIndexes }); usedefinition.mappingswithdynamic: false. - fts-basic-search —
$search+textoperator for BM25 keyword search; targetindex, projectsearchScore, cap with$limit. - fts-fuzzy-search — Add
fuzzy: { maxEdits: 1 }to tolerate typos; keepmaxEditssmall. - fts-phrase-search —
phraseoperator withslopfor ordered-proximity matching. - fts-custom-analyzers — Keyword tokenizer +
lowerCase+asciiFolding+edgeGramfor case-insensitive prefix matching on IDs, SKUs, part numbers. Index-time vs search-time analyzer pair. - fts-path-hierarchy —
pathHierarchytokenizer for hierarchical identifiers (BN-747-ENG-2024.05, dotted, slash paths). - fts-multifield-index — One search index mapping multiple fields; fan-out-and-merge in the app while
$searchcompoundis unavailable. - fts-hybrid-search — Combine BM25 and vector search (RRF) on the same collection.
What ships with it
8 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.
- 3d ago First seen · 29 lines · 135 tokens per session scan A 26bb606a2ba9
documentdb-full-text-search is a skill published in the GitHub repository Azure/documentdb-agent-kit (5 stars, last pushed 1mo ago), licensed MIT. It adds 135 tokens to every session and 743 once invoked, about $0.0007 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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