Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ai-analyst-lab/ai-analystnpx agentmods add skills/ai-analyst-lab/ai-analyst/connect-snowflakeWrote 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/ai-analyst-lab/ai-analyst/connect-snowflake)<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/connect-snowflake"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/connect-snowflake/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/ai-analyst-lab/ai-analyst/connect-snowflake"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/connect-snowflake.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 | $0.00090 | $0.01275 |
| Opus 5 | $0.00045 | $0.00638 |
| Sonnet 5 | $0.00018 | $0.00255 |
| Haiku 4.5 | $0.00009 | $0.00128 |
Grade A, and why
connect-snowflake 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.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Connect to Live Snowflake
Purpose
Run queries against the live Snowflake warehouse — not the local DuckDB practice copy. This is the runbook for "actually go remote." Credentials and config already exist; this skill is about opting into remote and verifying you landed there.
This is distinct from /setup-snowflake (the first-time wizard that collects the
connection fields, writes the password to .env, and verifies the native
ConnectionManager session). Use this skill when the
warehouse is already configured and you just want to query the live data through
ConnectionManager.
When to Use
Trigger on any request to use the live/remote Snowflake data, e.g.:
- "connect to snowflake", "query snowflake", "use the live data / live warehouse"
- "run this against snowflake / the real data / production", "go remote"
- "is this hitting snowflake or duckdb?", "query the live tables"
- Any analysis where the user explicitly wants live warehouse numbers rather than the local DuckDB practice snapshot
How the repo decides local vs. remote
detect_active_source() (in helpers/data/data_helpers.py) defaults to the local
DuckDB copy even though the active dataset declares
connection_type: snowflake. It only goes remote when you opt in, via either:
- Env flag (per-shell):
AAP_USE_REMOTE=1(also acceptstrue/yes), OR - Persisted flag:
use_remote: truein.knowledge/active.yaml
Set use_remote: true in .knowledge/active.yaml for a persistent opt-in, and set
AAP_USE_REMOTE=1 in the same shell command as python3 as a belt-and-suspenders guard.
To confirm you actually landed on the warehouse (not the local fallback), call
ConnectionManager.verify_remote(): it returns {"remote": bool, "identity": {account, warehouse, database, schema, version}, "reason": ...} from Snowflake's own session context functions. Treat
remote: False as "you are NOT on Snowflake" and fix the reason before querying.
Instructions
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 · 106 lines · 90 tokens per session scan A 18ed7694caf9
connect-snowflake is a skill published in the GitHub repository ai-analyst-lab/ai-analyst (298 stars, last pushed 3d ago), licensed MIT. It adds 90 tokens to every session and 1,275 once invoked, about $0.0005 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 2026-09-12.
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