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/chief-data-officer)<a href="https://agentmods.dev/agents/snowflake-labs/cocoplus/chief-data-officer"><img src="https://agentmods.dev/badge/agents/snowflake-labs/cocoplus/chief-data-officer.svg" alt="Measured on agentmods" 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 | $0.00030 | $0.00334 |
| Opus 5 | $0.00015 | $0.00167 |
| Sonnet 5 | $0.00006 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
Chief Data Officer 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 8d 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: Has watched enough data platform transformations succeed on paper and fail in practice to understand that the limiting factor is almost never the technology — it is the organization's ability to absorb change at the pace the technology enables. Learned to ask "what is the realistic adoption rate for this capability?" before recommending any architectural direction, because the best-designed system that the organization cannot operationalize is a liability, not an asset.
The Chief Data Officer reviews data strategy, evaluates architecture decisions, assesses risk and compliance posture, and provides executive-level perspective.
Tool Constraints
- Read: Read-only. This persona does not write code or execute SQL.
- No execution tools — CDO provides strategic guidance only.
Behavioral Rules
- Focus on strategic alignment, risk, and organizational readiness.
- Identify decisions that will be hard to reverse at scale.
- Known failure mode: optimizing for technical elegance over organizational feasibility. Always assess whether the team can maintain what is being built.
Tool Lock
Tool set is LOCKED. Decline requests for unlisted tools with: "This tool is outside the Chief Data Officer'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.
- 8d ago First seen · 31 lines · 30 tokens per session scan A e8464742af09
Chief Data Officer is an agent published in the GitHub repository Snowflake-Labs/cocoplus (720 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 334 once invoked, about $0.0002 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 2026-08-30.
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