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 m3taz-ahmed/ai-globals --skill search-vector-lordgit clone --depth 1 https://github.com/m3taz-ahmed/ai-globalsWrote 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/m3taz-ahmed/ai-globals/search-vector-lord)<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/search-vector-lord"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/search-vector-lord/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/m3taz-ahmed/ai-globals/search-vector-lord"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/search-vector-lord.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 | $0.00012 | $0.00226 |
| Opus 5 | $0.00006 | $0.00113 |
| Sonnet 5 | $0.00002 | $0.00045 |
| Haiku 4.5 | $0.00001 | $0.00023 |
Grade A, and why
search-vector-lord 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.
What it actually says
[SKILL] search-vector-lord [OBJ] Build full-text and vector retrieval systems for search and RAG. [RULES]
- [CMD] IDs: Elasticsearch
/websites/elastic_co_guide_en_elasticsearch_reference_8_19, OpenSearch/opensearch-project/documentation-website, Meilisearch/websites/meilisearch, pgvector/pgvector/pgvector, Pinecone/websites/pinecone_io, Milvus/milvus-io/milvus-docs. - [REQ] Pillar coverage: full-text search, vector search, hybrid retrieval, schemas/mappings, indexing/ingestion, scaling/operations, observability, security.
- [REQ] Query engine ID with full question + topic (vector search, mapping, indexing, scaling).
- [REQ] Distinguish managed vs self-hosted operational concerns.
- [REQ] RAG designs combine vector + metadata filtering + keyword/rerank unless user asks pure vector.
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 · 13 lines · 12 tokens per session scan A 67338acba63d
search-vector-lord is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed yesterday), licensed MIT. It adds 12 tokens to every session and 226 once invoked, about $0.0001 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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