Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Review and score refined research questions produced by Claude Code or OpenCode.
Install Aris Research Refine
$ npx skills add appleweiping/WEIPING_WIKI --skill aris-research-refine -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install appleweiping/WEIPING_WIKI aris-research-refine --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/.codex/skills/aris-research-refine .claude/skills/aris-research-refine && 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 "aris-research-refine" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-research-refine into .claude/skills/aris-research-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-research-refine", 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/.codex/skills/aris-research-refineType 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 aris-research-refine -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install appleweiping/WEIPING_WIKI aris-research-refine --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/.codex/skills/aris-research-refine .agents/skills/aris-research-refine && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aris-research-refine" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-research-refine into .agents/skills/aris-research-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-research-refine", 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 aris-research-refine -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install appleweiping/WEIPING_WIKI aris-research-refine --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/.codex/skills/aris-research-refine .cursor/skills/aris-research-refine && 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 "aris-research-refine" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-research-refine into .cursor/skills/aris-research-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-research-refine", 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 .codex/skills/aris-research-refine--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 aris-research-refine -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install appleweiping/WEIPING_WIKI aris-research-refine --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/.codex/skills/aris-research-refine .gemini/skills/aris-research-refine && 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 "aris-research-refine" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-research-refine into .gemini/skills/aris-research-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-research-refine", 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 aris-research-refineInstalls 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 aris-research-refine -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/.codex/skills/aris-research-refine .github/skills/aris-research-refine && 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 "aris-research-refine" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-research-refine into .github/skills/aris-research-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-research-refine", 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 aris-research-refine -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 aris-research-refine --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/.codex/skills/aris-research-refine .opencode/skills/aris-research-refine && 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 "aris-research-refine" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/.codex/skills/aris-research-refine into .opencode/skills/aris-research-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aris-research-refine", 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
aris-research-refine- GitHub stars
- 119
- Token cost
- ~1.1k tokens
- SKILL.md length
- 497 words
- Files
- 1
- Skills in repo
- 51
- Repo updated
- First seen
- Licence
- MIT
At a glance
Review and score refined research questions produced by Claude Code or OpenCode.
- Works in 4 steps: Score the Research Question → Kill-Argument → Differentiation Check → …
- Tasks that involve Hypothesis generation
- SKILL.md covers Your Mandate, Phase 1: Score the Research…, Phase 2: Kill-Argument and Phase 3: Differentiation Check, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Aris Research Refine is an agent skill from appleweiping/WEIPING_WIKI. Review and score refined research questions produced by Claude Code or OpenCode. Evaluate novelty, feasibility, clarity. Provide kill-argument and verdict. Triggers: "review research question", "score this idea", "kill-argument", "evaluate research direction", "is this worth pursuing"
Its SKILL.md is about 1.1k 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 Research & Science, covering Hypothesis generation. The repository describes itself as: knowledge base managed with an LLM workflow. The licence is MIT.
When your agent uses it
- Tasks that involve Hypothesis generation
Example prompts
- “review research question”
- “score this idea”
- “kill-argument”
- “/aris-research-refine”
Workflow steps
4 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
Aris Research Refine loads about 1.1k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 497 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). 497 words, ~1,133 tokens.
Download SKILL.mdSave it as
.claude/skills/aris-research-refine/SKILL.md (or your agent's skills folder).- name
- aris-research-refine
- description
- Review and score refined research questions produced by Claude Code or OpenCode. Evaluate novelty, feasibility, clarity. Provide kill-argument and verdict. Triggers: "review research question", "score this idea", "kill-argument", "evaluate research direction", "is this worth pursuing"
- role
- auditor
- stage
- research-refine
ARIS Research-Refine Auditor
You are the AUDITOR for the research-refine stage. You do NOT implement or refine — you review, score, stress-test, and give a verdict on the research question produced by the implementation agent (Claude Code or OpenCode).
Your Mandate
- Be adversarial but constructive
- Find the weakest link before reviewers do
- Kill bad ideas early to save months of wasted effort
- A "proceed" verdict means you would stake your reputation on this direction
Phase 1: Score the Research Question
Rate each dimension 1-10 with one-sentence justification:
| Dimension | Question to Answer | Score |
|---|---|---|
| Novelty | Does this add something genuinely new, or is it incremental/obvious? | /10 |
| Feasibility | Can this be executed with available compute, data, and time? | /10 |
| Clarity | Is the question precise enough to know when it's answered? | /10 |
| Impact | If successful, does anyone outside this lab care? | /10 |
| Testability | Can we design an experiment that definitively confirms or refutes? | /10 |
Scoring Rubric
- 1-3: Fatal flaw. Cannot proceed without fundamental rethink.
- 4-5: Weak. Needs significant iteration before experiment design.
- 6-7: Acceptable. Minor gaps that can be addressed in planning.
- 8-9: Strong. Ready to move forward with minor notes.
- 10: Exceptional. Rare — reserve for genuinely compelling questions.
Red Flags (auto-deduct 2 points from relevant dimension)
- "We propose a novel framework" without specifying what's novel → Novelty -2
- No mention of compute/data requirements → Feasibility -2
- Question contains "explore" or "investigate" without measurable outcome → Testability -2
- Cannot name the top-3 closest papers → Novelty -2
- Success criteria are subjective ("better", "improved") without metric → Clarity -2
Phase 2: Kill-Argument
Write the strongest possible argument for why this research direction will FAIL. This is not devil's advocacy for fun — it's the argument a skeptical reviewer will make.
Structure:
- Technical kill: Why the approach fundamentally cannot work
- Novelty kill: Why this has already been done (cite specific likely papers)
- Impact kill: Why even if it works, nobody will care
- Feasibility kill: Why the resources required make this impractical
You must write at least ONE compelling kill-argument. If you cannot find any, state explicitly: "No strong kill-argument found — this is unusually robust."
Show full SKILL.md (152 more words)Show less
Phase 3: Differentiation Check
Identify the 3 closest existing papers/approaches and for each:
| Paper/Approach | Similarity | Our Differentiation | Differentiation Strength |
|---|---|---|---|
| [closest 1] | What overlaps | What's different | Weak/Medium/Strong |
| [closest 2] | What overlaps | What's different | Weak/Medium/Strong |
| [closest 3] | What overlaps | What's different | Weak/Medium/Strong |
If differentiation strength is "Weak" for all three → automatic "iterate" verdict.
Phase 4: Verdict
Decision Matrix
| Condition | Verdict |
|---|---|
| All dimensions >= 7, no fatal kill-argument | PROCEED |
| Any dimension <= 3 | PIVOT (fundamental rethink needed) |
| Average >= 6 but kill-argument is strong | ITERATE (address kill-argument) |
| Average < 6 | PIVOT |
| All differentiations "Weak" | ITERATE (find unique angle) |
Verdict Format
VERDICT: [PROCEED / ITERATE / PIVOT]
CONFIDENCE: [Low / Medium / High]
SCORES: N={novelty} F={feasibility} C={clarity} I={impact} T={testability} AVG={avg}
BLOCKING ISSUE: [one-line summary or "None"]
NEXT ACTION: [what the implementation agent should do next]Interaction Rules
- Never suggest implementations. Your job is to judge, not to build.
- If asked to "help refine", redirect: "I audit. Send me the refined version and I'll score it."
- Be specific in criticism. "Not novel enough" is useless. "Overlaps with Chen et al. 2024 Section 3.2" is useful.
- Acknowledge when something is genuinely good. Constant negativity erodes trust.
© 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 .codex/skills/aris-research-refine of appleweiping/WEIPING_WIKI.
Open the folder on GitHubat commit 76fdc42
Compare with similar skills
Aris Research Refine 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 |
|---|---|---|---|---|---|---|
| Aris Research Refine this skillappleweiping/WEIPING_WIKI | 119 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Hypothesis GenerationK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Good QuestionRimagination/good-question | 305 | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| High Stakes Analytics Decision Lablimingrui679-design/high-stakes-analytics-decision-lab | 1k | — | ~2.2k | Automated safety check: Pass | MIT |
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Categories
Questions about Aris Research Refine
What does Aris Research Refine do?
Review and score refined research questions produced by Claude Code or OpenCode. Aris Research Refine is an agent skill from appleweiping/WEIPING_WIKI. Review and score refined research questions produced by Claude Code or OpenCode.
When should I use Aris Research Refine?
Aris Research Refine fits situations like: tasks that involve Hypothesis generation.
How do I install Aris Research Refine in Claude Code?
Run `npx skills add appleweiping/WEIPING_WIKI --skill aris-research-refine -a claude-code`. Or copy the skill folder (.codex/skills/aris-research-refine in appleweiping/WEIPING_WIKI) into .claude/skills/aris-research-refine in your project. Claude Code loads it when a task matches its description.
How do I install Aris Research Refine in Codex?
Run `npx skills add appleweiping/WEIPING_WIKI --skill aris-research-refine -a codex`. Or copy the skill folder (.codex/skills/aris-research-refine in appleweiping/WEIPING_WIKI) into .agents/skills/aris-research-refine in your project. Codex loads it when a task matches its description.
Can I use Aris Research Refine 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 aris-research-refine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aris-research-refine, .gemini/skills/aris-research-refine, .github/skills/aris-research-refine and .opencode/skills/aris-research-refine in your project.
What does Aris Research Refine need to run?
SKILL.md names no scripts, command-line tools or credentials: Aris Research Refine is instructions for the agent only.
Does Aris Research Refine 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 Aris Research Refine 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 Aris Research Refine use?
Aris Research Refine 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 Aris Research Refine use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 Aris Research Refine?
Skills that share tags, products or a category with Aris Research Refine: Hypothesis Generation (spacering-net/codeg, 3.9k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Hypothesis Generation (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Good Question (Rimagination/good-question, 305 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aris Research Refine?
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.