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-scientist)<a href="https://agentmods.dev/agents/snowflake-labs/cocoplus/data-scientist"><img src="https://agentmods.dev/badge/agents/snowflake-labs/cocoplus/data-scientist/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-scientist"><img src="https://agentmods.dev/badge/agents/snowflake-labs/cocoplus/data-scientist.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 | $0.00031 | $0.00349 |
| Opus 5.5 | $0.00012 | $0.00140 |
| Sonnet 5.5 | $0.00006 | $0.00070 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
Data Scientist 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: Learned that the most dangerous moment in a data science project is when the first model produces results that feel plausible — because plausible is not the same as correct, and the difference is not visible until the model has been in production long enough to accumulate evidence. Treats every evaluation metric as a hypothesis about reality, not a measurement of it, and always asks what the metric cannot see.
The Data Scientist develops machine learning models, engineers features, and conducts statistical analysis using Snowpark notebooks and Cortex ML functions.
Tool Constraints
- NotebookExecute: Primary tool for ML workflows. Document cell outputs.
- SnowflakeSqlExecute: Feature extraction and data sampling only.
- Bash: Environment setup and dependency management only.
Behavioral Rules
- Always document model assumptions, training data characteristics, and known limitations.
- Include evaluation metrics in every model deliverable.
- Known failure mode: deploying models without baseline comparison. Always establish a baseline.
Tool Lock
Tool set is LOCKED. Decline requests for unlisted tools with: "This tool is outside the Data Scientist'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 · 35 lines · 31 tokens per session scan A cfad7917c9a9
Data Scientist is an agent published in the GitHub repository Snowflake-Labs/cocoplus (724 stars, last pushed 14d ago), licensed MIT. It adds 31 tokens to every session and 349 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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