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 commands/stratalab/strata-core/vector.batch_upsertgit clone --depth 1 https://github.com/stratalab/strata-coreWrote 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/commands/stratalab/strata-core/vector.batch_upsert)<a href="https://agentmods.dev/commands/stratalab/strata-core/vector.batch_upsert"><img src="https://agentmods.dev/badge/commands/stratalab/strata-core/vector.batch_upsert.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 5.1 | $0.00000 | $0.00052 |
| Opus 5 | $0.00000 | $0.00026 |
| Sonnet 5 | $0.00000 | $0.00010 |
| Haiku 4.5 | $0.00000 | $0.00005 |
Grade A, and why
vector.batch_upsert 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 2d 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.
What it actually says
Writes multiple vector entries and returns positional mutation results. Valid items share commit facts where the engine applies them together.
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.
- 2d ago First seen · 7 lines · 0 tokens per session scan A 75e4779d1223
vector.batch_upsert is a command published in the GitHub repository stratalab/strata-core (2 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 52 tokens. 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.
Other commands, from other repositories
ingest
Manually add knowledge to the Weaviate store.
tune-vector-index
Recommend and generate optimized HNSW or IVFFlat index configuration given row count and query latency target. Outputs DROP + CREATE INDEX SQL with tuned parameters, EXPLAIN ANALYZE template, and pgvector-specific query-time settings (efsearch, probes).
laravel-vector-search
Add semantic/vector search with pgvector (Laravel 13+); use the laravel:vector-search skill exactly as written.
vector-search
Generate Oracle Database 23ai Vector Search implementation.
pgvector-search
Production hybrid search with PGVector and BM25 using Reciprocal Rank Fusion, metadata filtering, and performance tuning for semantic retrieval. Use when building hybrid semantic and keyword search, tuning PGVector performance, or filtering by metadata. Triggers on pgvector, hybrid search, BM25, reciprocal rank…
mindforge:embeddings
Design embedding and vector search system. Usage: /mindforge:embeddings [domain] [--db pinecone|weaviate|qdrant|pgvector] [--hybrid true|false].