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/pretensor-ai/pretensor/connectorsnpx skills add pretensor-ai/pretensor --skill connectorsgit clone --depth 1 https://github.com/pretensor-ai/pretensorWhat 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 | $0.00000 | $0.00082 |
| Opus 5 | $0.00000 | $0.00041 |
| Sonnet 5 | $0.00000 | $0.00016 |
| Haiku 4.5 | $0.00000 | $0.00008 |
Grade A, and why
connectors 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
Connectors — schema introspection (graph layer)
Read first
PostgreSQL connector and inspect() live in this package; graph product routing: SKILL.md.
Verification
Run tests from repo root:
uv sync --extra dev
uv run pytest tests/
What ships with it
12 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.
- __init__.py 567 B runs code
- base.py 4.8 KB runs code
- bigquery.py 16 KB runs code
- inspect.py 11 KB runs code
- lineage_sqlglot.py 3.0 KB runs code
- models.py 3.7 KB runs code
- mysql.py 14 KB runs code
- pg_array_parse.py 1.3 KB runs code
- postgres.py 38 KB runs code
- registry.py 3.2 KB runs code
- snapshot.py 7.5 KB runs code
- snowflake.py 34 KB runs code
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 · 17 lines · 0 tokens per session scan A 95ecbe631893
connectors is a skill published in the GitHub repository pretensor-ai/pretensor (5 stars, last pushed 19d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 82 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 2026-08-31.
Other skills, from other repositories
brain-dream
Brain maintenance -- replay conversations, fix graph quality, surface signals.
graph-mutation-plan
Cookbook for composing an applygraphmutations plan — stable entitykey patterns, the canonical label/edge vocabulary, evidence/invalidation/confidence discipline, and a worked example. Load this when building a non-trivial mutation plan.
potpie-infra-architecture
Use for project infra and architecture context: environments, adapters, runtime configuration, deployments, service dependencies, datastores, API contracts, ownership, incidents, and dependency blast radius.
wiki-context-pack
Produce a token-bounded, citation-ready context slice from an existing Obsidian vault for a downstream agent or task. Use for "/wiki-context-pack", "use my vault as context", "context slice for X", "pack the wiki for my agent", or "bounded context for Y".
alfworld-receptacle-finder
Searches for a suitable empty or appropriately occupied receptacle (like a shelf or table) to place an object. Use when you are holding an object that needs to be stored or placed and must find a receptacle that meets the placement criteria. Examines candidate receptacles by navigating to and inspecting each one until…
alfworld-search-pattern-executor
Systematically searches a sequence of likely locations for a target object based on common sense. Use when you need to find a specific object and know which receptacles to check but not which one contains it. Takes a list of candidate receptacles, orchestrates navigation and inspection, and outputs when the target is…