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 brycewang-stanford/Auto-Empirical-Research-Skills --skill 00-full-empirical-analysis-skill_statspaigit clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-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/brycewang-stanford/auto-empirical-research-skills/00-full-empirical-analysis-skill_statspai)<a href="https://agentmods.dev/skills/brycewang-stanford/auto-empirical-research-skills/00-full-empirical-analysis-skill_statspai"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/auto-empirical-research-skills/00-full-empirical-analysis-skill_statspai/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/brycewang-stanford/auto-empirical-research-skills/00-full-empirical-analysis-skill_statspai"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/auto-empirical-research-skills/00-full-empirical-analysis-skill_statspai.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 | $0.00604 | $0.40271 |
| Opus 5.5 | $0.00242 | $0.16108 |
| Sonnet 5.5 | $0.00121 | $0.08054 |
| Haiku 4.5 | $0.00060 | $0.04027 |
Grade D, and why
StatsPAI_skill scanned grade D with 2 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
| Title still shows ▢▢▢ tofu after `setup_plot()` | Host has none of the listed fonts. Install one — **macOS**: pre-installed (no action). **Linux**: `sudo apt install fonts-noto-cjk` (Debian/Ubuntu) or `sudo dnf install Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
| Title still shows ▢▢▢ tofu after `setup_plot()` | Host has none of the listed fonts. Install one — **macOS**: pre-installed (no action). **Linux**: `sudo apt install fonts-noto-cjk` (Debian/Ubuntu) or `sudo dnf install The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
1 file 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.
- 11d ago Changed ae321378d9bb
- 1mo ago Changed · -45 lines c9e63dd652f6
- 1mo ago Changed · +45 lines 52ea96e36798
- 1mo ago Changed 993ddbe34dbe
- 1mo ago First seen · 2,264 lines · 604 tokens per session scan D 0c71909e827f
StatsPAI_skill is a skill published in the GitHub repository brycewang-stanford/Auto-Empirical-Research-Skills (4,786 stars, last pushed yesterday), with no licence file. It adds 604 tokens to every session and 40,271 once invoked, about $0.0024 per session on Opus 5.5. A static security scan graded it D with 2 findings (asks for root, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
literature-review-tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use to ..." for…
kami-deck
A lab-meeting deck on gut-microbiome links to sleep quality — the design, the results, the caveats, and the next experiment. Built as a decision-grade academic research deck for lab group, PI.
godot-signals-groups
Build event-driven, decoupled Godot 4.7 gameplay with signals and node groups: declare and emit custom signals, connect with Callables (incl. bind/one-shot), and broadcast to many nodes via groups and callgroup. Use when wiring node communication in a Godot project, replacing tight references with signals…
error-experience-library
An error knowledge base that stores recurring error patterns, their causes, and the fixes that worked. It can search past entries and track whether each suggested fix succeeded.
gitnexus
A code-graph analysis add-on for examining an existing codebase, including symbols, call paths, execution flows, and effects across repositories. It can query GitNexus through its command-line or MCP interfaces.
design-experiment
Translate a falsifiable hypothesis into a statistically defensible experiment. Factorial, ablation, comparison, scaling, and robustness designs are modes, not strategy nodes.