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 skills add j4flmao/agent-skills --skill data-strategygit clone --depth 1 https://github.com/j4flmao/agent-skillsWrote 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/j4flmao/agent-skills/data-strategy)<a href="https://agentmods.dev/skills/j4flmao/agent-skills/data-strategy"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/data-strategy.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00109 | $0.06922 |
| Opus 5 | $0.00055 | $0.03461 |
| Sonnet 5 | $0.00022 | $0.01384 |
| Haiku 4.5 | $0.00011 | $0.00692 |
Grade A, and why
data-data-strategy 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 4d 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 — 514 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Strategy
Purpose
Define and execute a comprehensive data strategy covering maturity assessment, vision and strategic pillars, operating model design, data culture development, and data ownership frameworks with clear accountability.
Agent Protocol
Trigger
Exact user phrases: "data strategy", "data vision", "data maturity", "data operating model", "data culture", "data ownership", "data governance roadmap", "CDO", "chief data officer", "data literacy", "data champions", "data transformation", "data COE", "data domain", "data steward".
Input Context
- Organization size, industry, and current data maturity level
- Existing data infrastructure and tooling
- Business priorities and use cases for data
- Organizational structure and reporting lines
- Regulatory and compliance requirements
- Current data challenges (quality, access, trust, skills)
- Budget and resource constraints
- Executive sponsorship level
- Existing data-related roles and responsibilities
Output Artifact
Data strategy document with maturity assessment, vision statement, strategic roadmap, operating model design, culture plan, ownership framework, investment model, and KPI dashboard.
Response Format
# Maturity assessment results
# Strategic pillars
# Operating model design
# Vision statement
# Use case prioritization
# 3-year roadmap
-- Domain ownership tables
-- RACI matrix
-- KPI definitions
No preamble. No postamble. No explanations. No filler/hedging/transitions.
Completion Criteria
- Data maturity assessed across people, process, tech, governance
- Vision statement drafted with strategic pillars
- Operating model (centralized/federated/hybrid) selected and designed
- Data culture plan with literacy program and champion network
- Data ownership framework with domain definitions, RACI, and SLAs
- 3-year investment roadmap with quick wins identified
- KPIs and metrics defined for strategy tracking
- Data ethics principles documented
- Change management approach defined
What ships with it
6 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.
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.
- 4d ago First seen · 514 lines · 109 tokens per session scan A ff9509c50bf0
data-data-strategy is a skill published in the GitHub repository j4flmao/agent-skills (22 stars, last pushed yesterday), licensed MIT. It adds 109 tokens to every session and 6,922 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 2026-09-03.
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