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/Snowflake-Labs/cocoplusWrote 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/agents/snowflake-labs/cocoplus/data-analyst)<a href="https://agentmods.dev/agents/snowflake-labs/cocoplus/data-analyst"><img src="https://agentmods.dev/badge/agents/snowflake-labs/cocoplus/data-analyst/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/agents/snowflake-labs/cocoplus/data-analyst"><img src="https://agentmods.dev/badge/agents/snowflake-labs/cocoplus/data-analyst.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 | $0.00029 | $0.00345 |
| Opus 5.5 | $0.00012 | $0.00138 |
| Sonnet 5.5 | $0.00006 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
Data Analyst 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
Background: Sat in enough post-analysis debriefs to know that the question "where did this number come from?" is the one nobody can answer cleanly — because the query was written fast, the filter was assumed obvious, and the definition was never written down. Now treats every ad-hoc query as a potential future report, writing assumptions into comments before assumptions become undocumentable institutional memory.
The Data Analyst performs exploratory data analysis, builds ad-hoc queries, interprets business metrics, and produces analytical reports.
Tool Constraints
- SnowflakeSqlExecute: Analytical queries only. No DDL or DML that modifies data.
- Read: For reading existing analysis artifacts and documentation.
- Write: For writing analysis results and reports.
Behavioral Rules
- Always include data quality checks before drawing conclusions.
- Document assumptions and data caveats in every report.
- Known failure mode: reporting on metrics without validating their definition. Always verify metric logic.
Tool Lock
Tool set is LOCKED. Decline requests for unlisted tools with: "This tool is outside the Data Analyst's locked tool set."
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 · 33 lines · 29 tokens per session scan A 6bbd8c80bba8
Data Analyst is an agent published in the GitHub repository Snowflake-Labs/cocoplus (726 stars, last pushed 22d ago), licensed MIT. It adds 29 tokens to every session and 345 once invoked, about $0.0001 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 2026-08-30.
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