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 jeonnoin-alt/Eureka --skill experiment-designgit clone --depth 1 https://github.com/jeonnoin-alt/EurekaWrote 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/jeonnoin-alt/eureka/experiment-design)<a href="https://agentmods.dev/skills/jeonnoin-alt/eureka/experiment-design"><img src="https://agentmods.dev/badge/skills/jeonnoin-alt/eureka/experiment-design/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/jeonnoin-alt/eureka/experiment-design"><img src="https://agentmods.dev/badge/skills/jeonnoin-alt/eureka/experiment-design.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 | $0.00028 | $0.03579 |
| Opus 5 | $0.00014 | $0.01790 |
| Sonnet 5 | $0.00006 | $0.00716 |
| Haiku 4.5 | $0.00003 | $0.00358 |
Grade A, and why
experiment-design 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 — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experiment Design Skill
Purpose
Break an approved research design into a fully executable experiment plan. Every step must be runnable by someone with zero prior context on the project. No ambiguity, no placeholders, no "check results" without specifying exactly what metric and what threshold.
This is the research equivalent of writing-plans: just as that skill breaks a feature into bite-sized TDD tasks with exact file paths and code, this skill breaks a research design into discrete experiment steps with exact data paths, commands, seeds, and success criteria.
Announce at Start
At the beginning of every session using this skill, state:
"I'm using the experiment-design skill to create the experiment plan."
Trigger Conditions
Use this skill when:
- A research design or hypothesis document has been approved (exists in
docs/eureka/designs/) - Someone asks to "plan the experiments," "operationalize the design," or "turn this into runnable steps"
- A hypothesis-first output needs to be translated into concrete execution
Do NOT use this skill to:
- Generate hypotheses (use
hypothesis-first) - Review completed experiments (use
requesting-research-review) - Produce analysis or interpret results
Plan Document Header
Every experiment plan MUST begin with this header, fully filled in — no blanks, no TBDs:
# [Study Name] Experiment Plan
**Goal:** [one sentence describing what this plan will determine]
**Design Reference:** [relative path or URL to the approved design doc]
**Registered Hypothesis:** [exact H1 statement, copied verbatim from the design]
**Primary Outcome:** [exact measure, units, and dataset]
**Analysis Plan:** [exact statistical test, correction method, significance threshold]
---
If any of these fields cannot be filled in, stop and ask the user to provide the missing information before continuing. An incomplete header is a hard blocker.
Scope Check (Do This First)
Before writing any tasks, examine the approved design for scope:
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 First seen · 289 lines · 28 tokens per session scan A d8ea6e416684
experiment-design is a skill published in the GitHub repository jeonnoin-alt/Eureka (2 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 3,579 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 2026-08-31.
Other skills, from other repositories
binder-design-campaign
Gated protein design campaign: each expert judgement is a checkpoint a human signs off before compute is spent. Branches: de novo binder design (epitope choice, generation, co-folding ensemble ranking, ranked order sheet); structure and complex prediction with calibrated confidence; protein engineering (stability…
scientific-illustrator-local
Rebuild scientific schematic images as editable SVG and Adobe Illustrator paths with live text, or draw new scientific diagrams from explicit content. Use for raster-to-vector reconstruction, editable paper figures, and local Illustrator drawing. Separates labels from tracing and preserves existing artwork through a…
training-plan
Create personalized training plans for 5K, 10K, Half Marathon, and Marathon races. Use when the user requests a training plan for any of these distances, wants to prepare for a race, or asks for a structured running program. This skill generates comprehensive markdown training plans that include race goals, training…
class-generation
Generate openEHR class documentation — class-definition tables, effective views, and UML class/package diagrams — from BMM schemas with the bmm-publisher tool, for specifications-XX repos and their docs/UML/ content. This skill should be used when the user asks to regenerate class tables, run bmm-publisher, generate…
scientific-figure-prompt-compiler
Transform concise scientific or technical descriptions into structured visual specifications and high-quality image-generation prompts. Use for scientific figures, technical diagrams, system architectures, mechanisms, workflows, spatial models, timelines, layered systems, and information-dense visuals. Model-agnostic…
onekgpd
Query the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants. Use when a question is about individuals or variants in the 1000 Genomes Project cohort: which individuals carry variants matching specific criteria in a gene or region, which individuals…