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.
git clone --depth 1 https://github.com/ArieGoldkin/claude-forgeWrote 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/ariegoldkin/claude-forge/pgvector-search)<a href="https://agentmods.dev/commands/ariegoldkin/claude-forge/pgvector-search"><img src="https://agentmods.dev/badge/commands/ariegoldkin/claude-forge/pgvector-search/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/commands/ariegoldkin/claude-forge/pgvector-search"><img src="https://agentmods.dev/badge/commands/ariegoldkin/claude-forge/pgvector-search.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 | $0.00071 | $0.00107 |
| Opus 5.5 | $0.00028 | $0.00043 |
| Sonnet 5.5 | $0.00014 | $0.00021 |
| Haiku 4.5 | $0.00007 | $0.00011 |
Grade A, and why
pgvector-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 1mo 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
pgvector-search
Invoking skill: atk:pgvector-search
Follow the instructions in the pgvector-search skill exactly.
$ARGUMENTS
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.
- 1mo ago First seen · 12 lines · 71 tokens per session scan A d1d5b1a5a88b
pgvector-search is a command published in the GitHub repository ArieGoldkin/claude-forge (7 stars, last pushed 2mo ago), licensed MIT. It adds 71 tokens to every session and 107 once invoked, about $0.0003 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.
Other commands, from other repositories
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.
mindforge:embeddings
Design embedding and vector search system. Usage: /mindforge:embeddings [domain] [--db pinecone|weaviate|qdrant|pgvector] [--hybrid true|false].
design-vector-schema
Design a pgvector migration SQL file. Captures model + dimension + distance metric + row count → generates reversible Flyway/Alembic migration with correct index type, metadata columns, and null guards.
ingest
Manually add knowledge to the Weaviate store.
dba
Invoke the Database Administrator for schema design, indexing, query tuning, safe migrations, replication, and backups (Postgres/MySQL OLTP).