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 agents-inc/skills --skill api-vector-db-weaviategit clone --depth 1 https://github.com/agents-inc/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/agents-inc/skills/api-vector-db-weaviate)<a href="https://agentmods.dev/skills/agents-inc/skills/api-vector-db-weaviate"><img src="https://agentmods.dev/badge/skills/agents-inc/skills/api-vector-db-weaviate/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/agents-inc/skills/api-vector-db-weaviate"><img src="https://agentmods.dev/badge/skills/agents-inc/skills/api-vector-db-weaviate.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 | $0.00046 | $0.03577 |
| Opus 5 | $0.00023 | $0.01788 |
| Sonnet 5 | $0.00009 | $0.00715 |
| Haiku 4.5 | $0.00005 | $0.00358 |
Grade A, and why
api-vector-db-weaviate 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 9d 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 — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weaviate Patterns
Quick Guide: Use Weaviate for semantic search and RAG applications. Use weaviate-client (v3.x) as the TypeScript client -- it uses gRPC for performance and provides full type safety with generics. Connect via
connectToWeaviateCloud()for managed instances orconnectToLocal()for Docker. Collections are the central abstraction -- configure vectorizers at collection level, not per-query. Usecollection.query.*for search,collection.generate.*for RAG, andcollection.data.*for CRUD. Always callclient.close()when done. Increase query timeout to 60s+ when using generative search. The v3 client does NOT support browsers or Embedded Weaviate.
<critical_requirements>
CRITICAL: Before Using This Skill
All code must follow project conventions in CLAUDE.md (kebab-case, named exports, import ordering,
import type, named constants)
(You MUST call client.close() when done with the Weaviate client -- it maintains persistent gRPC connections that will leak if not closed)
(You MUST configure vectorizers at the COLLECTION level during client.collections.create() -- you cannot add a vectorizer after creation, only add new named vectors)
(You MUST use a SEPARATE client.collections.use() call with .withTenant() for multi-tenant queries -- queries without tenant context on multi-tenant collections will fail)
(You MUST increase query timeout to 60+ seconds when using generate.* (RAG) submodule -- generative model calls are slow and the default timeout causes failures)
</critical_requirements>
Examples
- Core Patterns -- Connection, collection setup, object CRUD, basic search
- Search & Filtering -- nearText, nearVector, hybrid, bm25, filters, generative search (RAG)
- Multi-Tenancy & Batch -- Tenant management, batch imports, cross-references
Additional resources:
- reference.md -- API cheat sheet, vectorizer comparison, data types, decision frameworks
What ships with it
5 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.
- 9d ago First seen · 366 lines · 46 tokens per session scan A 2db5d6ba5004
api-vector-db-weaviate is a skill published in the GitHub repository agents-inc/skills (24 stars, last pushed 4d ago), licensed MIT. It adds 46 tokens to every session and 3,577 once invoked, about $0.0002 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 2026-09-03.
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