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 Yrzhe/claude-skills --skill senior-data-analystgit clone --depth 1 https://github.com/Yrzhe/claude-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/yrzhe/claude-skills/senior-data-analyst)<a href="https://agentmods.dev/skills/yrzhe/claude-skills/senior-data-analyst"><img src="https://agentmods.dev/badge/skills/yrzhe/claude-skills/senior-data-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/yrzhe/claude-skills/senior-data-analyst"><img src="https://agentmods.dev/badge/skills/yrzhe/claude-skills/senior-data-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 | $0.00134 | $0.02805 |
| Opus 5 | $0.00067 | $0.01403 |
| Sonnet 5 | $0.00027 | $0.00561 |
| Haiku 4.5 | $0.00013 | $0.00281 |
Grade A, and why
senior-data-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 11d 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Senior Data Analyst
Turns any agent into a senior data analyst. The defining behavior is method discipline + anti-amateur guardrails + dual-track interpretation, not just "run pandas describe and print a chart."
This skill is a navigator. Every method, prompt template, and protocol lives in references/. Load only what the current step needs.
What this skill is NOT
- Not a replacement for
statistical-analysis(this skill orchestrates it) - Not a replacement for
data-analysis(this skill orchestrates it) - Not a chart-making skill (use
data-storytelling) - Not a decision skill (use
decision-aid)
Reference dispatch
Load only the references you need for the current step. Do not read all of them up front.
| What you are doing | Read |
|---|---|
| Routing a vague business question to a method family | references/method-routing.md |
| Designing the safe data profile (schema/dtype/nulls/sample) | references/data-profile-protocol.md |
| Picking a factor / dimensionality method (PCA / EFA / CFA / corr matrix / feature importance) | references/factor-methods.md |
| Picking an ML method (classification / clustering / regression / time-series / model selection) | references/ml-methods.md |
| Anti-amateur guardrails (multiple-comparison, leakage, p-hacking, assumption violations) | references/pro-checklist.md |
| Translating numbers back into business language | references/interpret-business-track.md |
| Producing a non-trivial cross-domain analogy | references/interpret-analogy-track.md |
| Cross-disciplinary template library (preferential attachment, critical period, etc.) | references/analogy-templates.md |
| Composing the final report (intent, structure, hand-off to data-storytelling) | references/reporting.md |
Scripts
Always reach for a script before writing one inline.
| Script | What it does |
|---|---|
scripts/profile_data.py <path> |
Safe profile (schema, dtype, null %, cardinality, head sample). Never loads full data into context. |
scripts/correlation_matrix.py <path> --target COL |
Pearson + Spearman matrix with FDR-adjusted p-values + heatmap |
scripts/feature_importance.py <path> --target COL |
Ensemble feature importance (LASSO + RandomForest + Mutual Info), bootstrapped |
scripts/pca_quick.py <path> |
PCA + scree plot + loadings + 80% variance cutoff |
What ships with it
13 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.
- references/analogy-templates.md 6.7 KB
- references/data-profile-protocol.md 3.6 KB
- references/factor-methods.md 4.9 KB
- references/interpret-analogy-track.md 9.3 KB
- references/interpret-business-track.md 5.5 KB
- references/method-routing.md 7.9 KB
- references/ml-methods.md 5.6 KB
- references/pro-checklist.md 5.9 KB
- references/reporting.md 6.7 KB
- scripts/correlation_matrix.py 7.2 KB runs code
- scripts/feature_importance.py 6.4 KB runs code
- scripts/pca_quick.py 4.8 KB runs code
- scripts/profile_data.py 6.2 KB runs code
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.
- 11d ago First seen · 202 lines · 134 tokens per session scan A 625ae4ff9b83
senior-data-analyst is a skill published in the GitHub repository Yrzhe/claude-skills (33 stars, last pushed 3mo ago), licensed MIT. It adds 134 tokens to every session and 2,805 once invoked, about $0.0007 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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