AutoSci is an AI research platform organized around a wiki, with an agent that supports stages of scientific work such as reading, experimentation, writing, and retaining knowledge across projects. It is for people building or using AI-assisted research workflows, with Claude Code, Codex, and OpenCode adaptations available. The catalogue add-ons extend those agent-specific workflows.
Borrowing it
Nothing to install: this file belongs to skyllwt/AutoSci. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/skyllwt/AutoSci/main/.claude/skills/exp-design/SKILL.mdgit clone --depth 1 https://github.com/skyllwt/AutoSciWrote 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/skyllwt/autosci/exp-design)<a href="https://agentmods.dev/skills/skyllwt/autosci/exp-design"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/exp-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/skyllwt/autosci/exp-design"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/exp-design.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 | $0.00000 | $0.05852 |
| Opus 5.5 | $0.00000 | $0.02341 |
| Sonnet 5.5 | $0.00000 | $0.01170 |
| Haiku 4.5 | $0.00000 | $0.00585 |
Grade A, and why
exp-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 2mo 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 — 510 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/exp-design
Design a complete, non-linear experiment suite for an idea. This skill supports method candidate generation, iterative ablation with method simplification, sensitivity analysis, and deep analysis of intermediate quantities. The ablation loop is the core non-linear feature: ablation results classify factors as essential/contributing/marginal/harmful, and marginal/harmful factors trigger method simplification and re-planning (capped at 2 iterations).
Inputs
idea-slug: the idea to design experiments for (reads fromwiki/ideas/{slug}.md)
Outputs
- Experiment wiki pages:
wiki/experiments/{exp-slug}.md— one per experiment block (ablation, sensitivity, main, generalization, analysis), each withstatus: plannedandlinked_ideaset - Master design document:
experiments/designs/{slug}-master.md— detailed specs for all experiment blocks wiki/graph/edges.jsonl— newtested_byedges: idea → each experimentwiki/ideas/{slug}.md— updatedlinked_experimentsfieldwiki/graph/context_brief.md— rebuiltwiki/graph/open_questions.md— rebuiltwiki/log.md— appended log entry- DESIGN_REPORT (printed to terminal) — experiment suite summary, run order, compute budget
Wiki Interaction
Reads
wiki/ideas/{slug}.md— idea's hypothesis, approach, risks, novelty argumentwiki/ideas/*.md— other ideas (for Candidate C cross-idea combination, filtering for validated/pilot-passed ideas)experiments/pilot/{slug}/report.md— pilot evaluation results (if exists)wiki/papers/*.md— related papers for baseline setups and method detailswiki/concepts/*.mdandwiki/topics/*.md— referenced via idea'sorigin_gapswiki/methods/*.md— reusable methods the idea builds onwiki/experiments/*.md— existing experiments (avoid duplicate designs)wiki/graph/context_brief.md— global contextwiki/graph/open_questions.md— knowledge gaps
Writes
wiki/experiments/{exp-slug}.md— experiment wiki pages (one per block, following entity schema)experiments/designs/{slug}-master.md— master design document with detailed block specswiki/ideas/{slug}.md— append experiment slugs tolinked_experimentswiki/graph/edges.jsonl— addtested_byedges (idea → each experiment)wiki/graph/context_brief.md— rebuildwiki/graph/open_questions.md— rebuildwiki/log.md— append operation log
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.
- 2mo ago First seen · 510 lines · 0 tokens per session scan A 2d62ae046493
exp-design is a skill published in the GitHub repository skyllwt/AutoSci (1,706 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 5,852 tokens. 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.
exp-design compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| exp-designskyllwt/AutoSci | Skill | 1.7k | 1mo ago | MIT | A | 0 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |