Research Synthesis
NateBJones-Projects/OB1
Decision-grade workflow for synthesizing a source set into clear findings, contradictions, confidence markers, gaps, and next questions.
Rigorous experiment planning that produces a complete, auditable experiment plan with blocks, baselines, milestones, decision gates, and compute estimates.
Install Experiment Plan
$ npx skills add appleweiping/WEIPING_WIKI --skill experiment-plan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install appleweiping/WEIPING_WIKI experiment-plan --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/aris/skills/experiment-plan .claude/skills/experiment-plan && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "experiment-plan" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.claude/skills/aris/skills/experiment-plan into .claude/skills/experiment-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-plan", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/appleweiping/WEIPING_WIKI/tree/main/.claude/skills/aris/skills/experiment-planType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add appleweiping/WEIPING_WIKI --skill experiment-plan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install appleweiping/WEIPING_WIKI experiment-plan --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/aris/skills/experiment-plan .agents/skills/experiment-plan && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "experiment-plan" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.claude/skills/aris/skills/experiment-plan into .agents/skills/experiment-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-plan", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add appleweiping/WEIPING_WIKI --skill experiment-plan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install appleweiping/WEIPING_WIKI experiment-plan --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/aris/skills/experiment-plan .cursor/skills/experiment-plan && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "experiment-plan" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.claude/skills/aris/skills/experiment-plan into .cursor/skills/experiment-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-plan", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/appleweiping/WEIPING_WIKI.git --path .claude/skills/aris/skills/experiment-plan--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add appleweiping/WEIPING_WIKI --skill experiment-plan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install appleweiping/WEIPING_WIKI experiment-plan --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/aris/skills/experiment-plan .gemini/skills/experiment-plan && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "experiment-plan" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.claude/skills/aris/skills/experiment-plan into .gemini/skills/experiment-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-plan", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install appleweiping/WEIPING_WIKI experiment-planInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add appleweiping/WEIPING_WIKI --skill experiment-plan -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/aris/skills/experiment-plan .github/skills/experiment-plan && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "experiment-plan" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.claude/skills/aris/skills/experiment-plan into .github/skills/experiment-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-plan", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add appleweiping/WEIPING_WIKI --skill experiment-plan -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install appleweiping/WEIPING_WIKI experiment-plan --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/aris/skills/experiment-plan .opencode/skills/experiment-plan && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "experiment-plan" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.claude/skills/aris/skills/experiment-plan into .opencode/skills/experiment-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-plan", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
experiment-plan- GitHub stars
- 119
- Token cost
- ~1k tokens
- SKILL.md length
- 423 words
- Files
- 1
- Skills in repo
- 51
- Repo updated
- First seen
- Licence
- MIT
At a glance
Rigorous experiment planning that produces a complete, auditable experiment plan with blocks, baselines, milestones, decision gates, and compute estimates.
- Works in 6 steps: Experiment Block Design → Baseline Specification → Milestone & Decision Gate Design → …
- User says experiment-plan
- SKILL.md covers Decision Gate, Phase 1 — Experiment Block…, Phase 2 — Baseline Specification and Phase 3 — Milestone & Decision…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Experiment Plan is an agent skill from appleweiping/WEIPING_WIKI. Rigorous experiment planning that produces a complete, auditable experiment plan with blocks, baselines, milestones, decision gates, and compute estimates. Use when user says "experiment-plan", "实验计划", "plan experiments", "design experiments", or after research-refine is complete and the research question is crystallized.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Product & Project Management, covering Project management and Hypothesis generation. The repository describes itself as: knowledge base managed with an LLM workflow. The licence is MIT.
When your agent uses it
- User says experiment-plan
- Plan experiments
- Design experiments
- After research-refine is complete and the research question is crystallized
Example prompts
- “experiment-plan”
- “plan experiments”
- “design experiments”
- “/experiment-plan”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 76fdc42. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Experiment Plan loads about 1k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 423 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from appleweiping/WEIPING_WIKI at commit 76fdc42, republished under its MIT licence (© appleweiping). 423 words, ~1,025 tokens.
Download SKILL.mdSave it as
.claude/skills/experiment-plan/SKILL.md (or your agent's skills folder).- name
- experiment-plan
- description
- Rigorous experiment planning that produces a complete, auditable experiment plan with blocks, baselines, milestones, decision gates, and compute estimates. Use when user says "experiment-plan", "实验计划", "plan experiments", "design experiments", or after research-refine is complete and the research question is crystallized.
Experiment Plan
Design a complete experiment plan that a reviewer would call "thorough." No hand-waving, no "we'll figure it out later."
Decision Gate
Before running:
- Research question is crystallized (
refine-logs/RESEARCH_QUESTION.mdexists) - Baselines are identified (≥8 per quality standards)
- Compute resources are known (GPU type, hours available)
- Datasets are accessible
Phase 1 — Experiment Block Design
Design 5-7 experiment blocks, each answering one sub-question:
- B1: Phenomenon validation — Does the claimed phenomenon exist? (Sanity check)
- B2: Ablation / isolation — Is our method responsible, not confounders?
- B3: Method comparison — Head-to-head vs all baselines on primary metrics
- B4: Mechanism analysis — Why does it work? (Interpretability, probing)
- B5: Robustness — Does it hold across domains/scales/perturbations?
- B6: Downstream impact — Does improvement on proxy metric translate to real value?
- B7: Extended / realistic — Real-world simulation or deployment scenario
For each block:
- Hypothesis (falsifiable)
- Metrics (primary + secondary)
- Expected outcome range
- Failure mode (what would disprove the hypothesis)
Output: refine-logs/EXPERIMENT_PLAN.md (blocks section)
Phase 2 — Baseline Specification
For each of the 8+ baselines:
| Baseline | Paper | Year | Implementation | Status |
|---|---|---|---|---|
| ... | ... | ... | official/reimpl/ours | available/needed |
- Verify implementation availability (GitHub links, paper repos)
- Note any baselines that need reimplementation (flag as risk)
- Ensure fair comparison: same data splits, same preprocessing, same compute budget
Phase 3 — Milestone & Decision Gate Design
Define sequential milestones with kill conditions:
M0 (sanity) → M1 (phenomenon?) → M2 (full panel) → M3 (comparison) → M4 (mechanism) → M5 (robustness) → M6 (extended)Decision gates:
- M1 gate: If phenomenon effect size < threshold → STOP or pivot
- M3 gate: If our method not statistically significant vs best baseline → fall back to analysis paper
- M5 gate: If robustness fails on >50% of perturbations → scope down claims
Each gate has: metric, threshold, action-if-fail.
Show full SKILL.md (165 more words)Show less
Phase 4 — Compute & Timeline
- Per-block compute estimate (GPU-hours)
- Total compute with 20% buffer
- Parallelization plan (which blocks can run concurrently)
- Timeline (weeks, with dependencies)
- Seed strategy: 20+ seeds for final results, 3-5 for diagnostics
Phase 5 — Tracker Setup
Create refine-logs/EXPERIMENT_TRACKER.md:
| Block | Milestone | Status | Seeds | Result | Notes |
|---|---|---|---|---|---|
| B1 | M0 | pending | - | - | - |
Phase 6 — Cross-Model Review
Submit plan to Codex (GPT-5.5) for audit:
- Send an explicit context pack through agentmemory signals/actions, or hand the same context to the current Codex session
- Codex scores: Evidence (1-10), Rigor (1-10), Gates (1-10), Feasibility (1-10), Paper-potential (1-10)
- If any score <6, iterate on that dimension
Handoff
- Output:
refine-logs/EXPERIMENT_PLAN.md,refine-logs/EXPERIMENT_TRACKER.md - Update
memory/facts/<project>-status.md - Next ARIS step: experiment-bridge
- Handoff to: OpenCode (executor) for implementation
Hard Rules
- Minimum 8 baselines (no exceptions)
- Statistical significance requires 20+ seeds for paper results
- Every block must have a falsifiable hypothesis
- Decision gates must have concrete thresholds, not "we'll see"
- Evidence labels: plan outputs are "diagnostic" until experiments run
- No mock/pilot results as paper evidence
© appleweiping, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/aris/skills/experiment-plan of appleweiping/WEIPING_WIKI.
Open the folder on GitHubat commit 76fdc42
Compare with similar skills
Experiment Plan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Experiment Plan this skillappleweiping/WEIPING_WIKI | 119 | — | ~1k | Automated safety check: Pass | MIT | |
| Research SynthesisNateBJones-Projects/OB1 | 4.7k | — | ~939 | Automated safety check: Pass | Custom licence | |
| Colt Workflowbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Stoc Workflowbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Translational Study Blueprintaipoch/medical-research-skills | 2k | — | ~3.7k | Automated safety check: Pass | MIT | |
| CCPM Project Managementautomazeio/ccpm | 8.4k | — | ~1.1k | Automated safety check: Pass | MIT |
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Related
Questions about Experiment Plan
What does Experiment Plan do?
Rigorous experiment planning that produces a complete, auditable experiment plan with blocks, baselines, milestones, decision gates, and compute estimates. Experiment Plan is an agent skill from appleweiping/WEIPING_WIKI. Rigorous experiment planning that produces a complete, auditable experiment plan with blocks, baselines, milestones, decision gates, and compute estimates.
When should I use Experiment Plan?
Experiment Plan fits situations like: user says experiment-plan; plan experiments; design experiments; after research-refine is complete and the research question is crystallized.
How do I install Experiment Plan in Claude Code?
Run `npx skills add appleweiping/WEIPING_WIKI --skill experiment-plan -a claude-code`. Or copy the skill folder (.claude/skills/aris/skills/experiment-plan in appleweiping/WEIPING_WIKI) into .claude/skills/experiment-plan in your project. Claude Code loads it when a task matches its description.
How do I install Experiment Plan in Codex?
Run `npx skills add appleweiping/WEIPING_WIKI --skill experiment-plan -a codex`. Or copy the skill folder (.claude/skills/aris/skills/experiment-plan in appleweiping/WEIPING_WIKI) into .agents/skills/experiment-plan in your project. Codex loads it when a task matches its description.
Can I use Experiment Plan in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add appleweiping/WEIPING_WIKI --skill experiment-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/experiment-plan, .gemini/skills/experiment-plan, .github/skills/experiment-plan and .opencode/skills/experiment-plan in your project.
What does Experiment Plan need to run?
SKILL.md names no scripts, command-line tools or credentials: Experiment Plan is instructions for the agent only.
Does Experiment Plan access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Experiment Plan safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Experiment Plan use?
Experiment Plan is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Experiment Plan use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Experiment Plan?
Skills that share tags, products or a category with Experiment Plan: Research Synthesis (NateBJones-Projects/OB1, 4.7k stars), Colt Workflow (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Stoc Workflow (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Translational Study Blueprint (aipoch/medical-research-skills, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Experiment Plan?
appleweiping (a GitHub user) maintains it in appleweiping/WEIPING_WIKI, which has 119 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on August 26, 2026.
Source: appleweiping/WEIPING_WIKI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.