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 analystgit 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/analyst)<a href="https://agentmods.dev/skills/hollandkevint/data-product-operator/analyst"><img src="https://agentmods.dev/badge/skills/hollandkevint/data-product-operator/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/skills/hollandkevint/data-product-operator/analyst"><img src="https://agentmods.dev/badge/skills/hollandkevint/data-product-operator/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 | $0.00062 | $0.01341 |
| Opus 5.5 | $0.00025 | $0.00536 |
| Sonnet 5.5 | $0.00012 | $0.00268 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade A, and why
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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyst
Start with one decision and keep a traceable account of what supports it. Use the smallest relevant set of skills below. A graph here is a set of named records and links; no graph service is required. Store project records in the user's approved private workspace, never in this public skill library.
Choose the next skill
Read the selected skill before applying it. If it is unavailable, identify the missing file and continue only with the guidance available; do not claim it ran.
| Unresolved question | Read | Record produced |
|---|---|---|
| Who needs this decision, and what have they tried? | Consumer discovery, then research synthesis if needed | Question and supporting observations |
| Which assumption could change the plan? | Grill me | Assumption, counterevidence and next discriminating question |
| What exactly are we counting? | Metrics; cohort design for healthcare populations | Versioned definition and boundary cases |
| Does the source mean what we think it means? | Healthcare domain when applicable; model design for joins and grain | Source-to-definition mapping |
| Where did the mismatch arise? | Reconciliation for healthcare; quality assessment otherwise | Competing explanations and checks |
| How should the check run? | DuckDB profiling or Databricks review, only for the selected environment | Proposed query or authorized run evidence |
| How do we detect recurrence? | Pipeline quality | Detection condition, response owner and observation period |
| Who decides, and what remains unresolved? | Stakeholder alignment, storytelling | Scoped decision and explanation |
| What did we learn from this project? | Readiness debrief for healthcare | Follow-up checks and a proposed skill correction |
What ships with it
2 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.
- 1mo ago First seen · 77 lines · 62 tokens per session scan A ada2701d62fb
analyst is a skill published in the GitHub repository hollandkevint/data-product-operator (5 stars, last pushed 4d ago), licensed MIT. It adds 62 tokens to every session and 1,341 once invoked, about $0.0002 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 2026-09-11.
analyst compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| analysthollandkevint/data-product-operator | Skill | 5 | 4d ago | MIT | A | 62 | Claude Code |
| shipkyle-chalmers/ticketwright | Skill | 4 | 2d ago | MIT | A | 50 | Claude Code |
| ticketkyle-chalmers/ticketwright | Skill | 4 | 2d ago | MIT | A | 48 | Claude Code |
| reviewkyle-chalmers/ticketwright | Skill | 4 | 2d ago | MIT | A | 40 | Claude Code |
| close-daype-menezes/pm-chief-of-staff | Skill | 5 | 3d ago | MIT | A | 25 | Claude Code |
| process-meetingpe-menezes/pm-chief-of-staff | Skill | 5 | 3d ago | MIT | A | 124 | Claude Code |
| prep-conversationpe-menezes/pm-chief-of-staff | Skill | 5 | 3d ago | MIT | A | 135 | Claude Code |