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 poemswe/co-researcher --skill quantitative-analysisgit clone --depth 1 https://github.com/poemswe/co-researcherWrote 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/poemswe/co-researcher/quantitative-analysis)<a href="https://agentmods.dev/skills/poemswe/co-researcher/quantitative-analysis"><img src="https://agentmods.dev/badge/skills/poemswe/co-researcher/quantitative-analysis/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/poemswe/co-researcher/quantitative-analysis"><img src="https://agentmods.dev/badge/skills/poemswe/co-researcher/quantitative-analysis.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00022 | $0.00784 |
| Opus 5 | $0.00011 | $0.00392 |
| Sonnet 5 | $0.00004 | $0.00157 |
| Haiku 4.5 | $0.00002 | $0.00078 |
Grade A, and why
quantitative-analysis 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 9d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
1. Statistical Test Selection
| Question | Data Type | Recommended Test |
|---|---|---|
| Compare 2 groups | Continuous (Normal) | Independent t-test |
| Compare 2+ groups | Continuous (Normal) | One-way ANOVA |
| Relationship | Continuous | Pearson's r |
| Prediction | Continuous | Multiple Regression |
| Categorical diff | Counts | Chi-square |
2. Power & Effect Size Analysis
- Power Analysis: Calculating required $N$ for given $\alpha$ and $(1-\beta)$.
- Effect Sizes: Cohen's $d$, Pearson's $r$, $\eta^2$, Odds Ratios.
3. Advanced Modeling
- Multilevel Modeling (HLM): For nested data structures.
- Structural Equation Modeling (SEM): For latent variable analysis.
- Non-parametric alternatives: Mann-Whitney U, Wilcoxon, Kruskal-Wallis.
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.
- 9d ago First seen · 76 lines · 22 tokens per session scan A 48935f170a9f
quantitative-analysis is a skill published in the GitHub repository poemswe/co-researcher (128 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 784 once invoked, about $0.0001 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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