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 hollandkevint/data-product-operator --skill data-product-validationgit clone --depth 1 https://github.com/hollandkevint/data-product-operatorWrote 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/hollandkevint/data-product-operator/data-product-validation)<a href="https://agentmods.dev/skills/hollandkevint/data-product-operator/data-product-validation"><img src="https://agentmods.dev/badge/skills/hollandkevint/data-product-operator/data-product-validation/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/hollandkevint/data-product-operator/data-product-validation"><img src="https://agentmods.dev/badge/skills/hollandkevint/data-product-operator/data-product-validation.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 | $0.00065 | $0.01144 |
| Opus 5 | $0.00032 | $0.00572 |
| Sonnet 5 | $0.00013 | $0.00229 |
| Haiku 4.5 | $0.00006 | $0.00114 |
Grade A, and why
data-product-validation 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.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validation Scorecard
Score each dimension 1-5. Multiply all five for a composite score (max 3,125).
1. Demand Frequency
How often do consumers need this answer?
| Score | Frequency | Example |
|---|---|---|
| 5 | Daily or real-time | ICU readmission risk scores |
| 4 | Weekly | Regional performance reports |
| 3 | Monthly | Quarterly business reviews |
| 2 | Quarterly | Annual planning data |
| 1 | Rarely or once | Ad-hoc executive request |
2. Decision Impact
What happens when consumers don't have this data?
| Score | Impact | Example |
|---|---|---|
| 5 | Critical decision blocked | Can't discharge patients without risk assessment |
| 4 | Significant delay or cost | Team spends 20+ hours/week on manual workaround |
| 3 | Moderate inconvenience | Report takes 3 hours instead of 5 minutes |
| 2 | Minor friction | Slightly slower process, acceptable workaround exists |
| 1 | Mild inconvenience | Nice to have, nobody changes behavior without it |
3. Workaround Effort
What are consumers doing today instead?
| Score | Effort | Example |
|---|---|---|
| 5 | Custom tooling built | Analyst maintains a 47-tab Excel model updated daily |
| 4 | Significant manual process | 3 people spend 2 days/week compiling reports |
| 3 | Partial automation | Script exists but breaks frequently, needs babysitting |
| 2 | Simple workaround | Quick Excel export, takes 30 minutes |
| 1 | Haven't tried | Nobody has attempted to solve this yet |
4. Data Feasibility
Can we actually build this with available data?
| Score | Feasibility | Example |
|---|---|---|
| 5 | Data exists, quality verified | Source audited, passes data-quality-assessment checks |
| 4 | Data exists, quality unknown | Source available but no quality baseline established |
| 3 | Data exists, known issues | Source has gaps or accuracy problems that need fixing first |
| 2 | Data partially exists | Need to combine 3+ sources, some missing |
| 1 | Data doesn't exist | Would need new data collection or acquisition |
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 · 107 lines · 65 tokens per session scan A 416d7043e986
data-product-validation is a skill published in the GitHub repository hollandkevint/data-product-operator (3 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 1,144 once invoked, about $0.0003 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 2026-08-31.
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