Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Assess research ideas for value, novelty, insight, and mechanism.
$ npx skills add mikubaka88/CCFA-Skills --skill ccf-idea-reviewer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mikubaka88/CCFA-Skills ccf-idea-reviewer --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/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ccf-idea-reviewer .claude/skills/ccf-idea-reviewer && 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 "ccf-idea-reviewer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-reviewer into .claude/skills/ccf-idea-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-reviewer", 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/mikubaka88/CCFA-Skills/tree/main/ccf-idea-reviewerType 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 mikubaka88/CCFA-Skills --skill ccf-idea-reviewer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mikubaka88/CCFA-Skills ccf-idea-reviewer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ccf-idea-reviewer .agents/skills/ccf-idea-reviewer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ccf-idea-reviewer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-reviewer into .agents/skills/ccf-idea-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-reviewer", 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 mikubaka88/CCFA-Skills --skill ccf-idea-reviewer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mikubaka88/CCFA-Skills ccf-idea-reviewer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ccf-idea-reviewer .cursor/skills/ccf-idea-reviewer && 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 "ccf-idea-reviewer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-reviewer into .cursor/skills/ccf-idea-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-reviewer", 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/mikubaka88/CCFA-Skills.git --path ccf-idea-reviewer--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 mikubaka88/CCFA-Skills --skill ccf-idea-reviewer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mikubaka88/CCFA-Skills ccf-idea-reviewer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ccf-idea-reviewer .gemini/skills/ccf-idea-reviewer && 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 "ccf-idea-reviewer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-reviewer into .gemini/skills/ccf-idea-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-reviewer", 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 mikubaka88/CCFA-Skills ccf-idea-reviewerInstalls 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 mikubaka88/CCFA-Skills --skill ccf-idea-reviewer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ccf-idea-reviewer .github/skills/ccf-idea-reviewer && 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 "ccf-idea-reviewer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-reviewer into .github/skills/ccf-idea-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-reviewer", 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 mikubaka88/CCFA-Skills --skill ccf-idea-reviewer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mikubaka88/CCFA-Skills ccf-idea-reviewer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mikubaka88/CCFA-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ccf-idea-reviewer .opencode/skills/ccf-idea-reviewer && 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 "ccf-idea-reviewer" agent skill from https://github.com/mikubaka88/CCFA-Skills/tree/main/ccf-idea-reviewer into .opencode/skills/ccf-idea-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ccf-idea-reviewer", 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.
ccf-idea-reviewerAssess research ideas for value, novelty, insight, and mechanism.
Ccf Idea Reviewer is an agent skill from mikubaka88/CCFA-Skills. Assess research ideas for value, novelty, insight, and mechanism. Use for 思路审核, 靠谱吗, 值得做吗, 创新够不够, idea review, scoring, and ranking; no numeric-score request is needed. Default to concept-only review without experiment assessment, including ideas extracted from manuscripts. Developing an idea belongs to ccf-idea-optimizer; evaluating manuscript evidence or writing belongs to ccf-paper-reviewer.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `agents/openai.yaml`, `references/calibration.md` and `references/expert-panel.md`).
It sits in Research & Science, covering Hypothesis generation. The repository describes itself as: A skill family for shaping the research storyline of CCF-A papers. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5969e6b. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ccf Idea Reviewer loads about 2.1k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 904 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.
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.
The full file from mikubaka88/CCFA-Skills at commit 5969e6b, republished under its MIT licence (© mikubaka88). 904 words, ~2,071 tokens.
.claude/skills/ccf-idea-reviewer/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Before writing, resolve the canonical output and one stable working directory per task/artifact. Reuse explicit or established task paths; otherwise use project-root ccfa-workfiles/<purpose>/<artifact-id>/, with source/, assets/, cache/, and build/ only as needed. Update current files in place; do not scatter intermediates or create iteration copies. Preserve inputs and required evidence; clean only verified disposable files created by this task. Use UTF-8 text I/O and check Chinese text after saving or rendering. For file work, apply artifact-contracts.md and reuse the same paths across skill transitions.
Before specialist execution, read and apply ccf-humanization first, then ccf-common. At every handoff, reuse their applicable active rules or refresh missing/changed ones. Both preflights are required even without prose; detailed editing, experiment, and maintenance modes run only when relevant.
Keep one integrating owner and actively use other skills to resolve missing prerequisites or check material findings. Reuse applicable evidence; do not skip necessary groundwork to save tokens. Before finalizing, integrate contributions and verify affected results. Follow the conditional cooperation routes; avoid unrelated stages and duplicate reports.
CCFA Handoff Mode: PARTIAL (Recommended). Follow metadata.ccf_skill_controls.handoff_question_mode, ../ccf-common/references/handoff-modes.md, and ../ccf-common/references/task-modes.md. Infer assessment from the requested judgment; an exact skill name, review keyword, or numeric score is unnecessary. A rough idea can still receive a serious concept assessment.
Choose by the object of judgment, not file type: a PDF supplied for “只看核心思路” remains idea review. Use ccf-idea-optimizer for requested development and ccf-paper-reviewer for manuscript evidence, scientific completeness, writing, or version readiness. Execute an explicitly combined review/development task through its respective owners without another permission round.
Judge problem importance, novelty against closest work, conceptual insight, mechanism coherence, elegance, and audience fit. Default to concept-only scope. Do not grade experiments, demand baselines/ablations/results, assess implementation resources, or lower the verdict because research is unfinished. Add experiment or feasibility assessment only when the user requests that extension, keeping it separate from the concept score.
Distinguish a logical contradiction from an untested hypothesis. A meaningful claim can be assessed before experimental validation. Separate concept quality, development potential, and confidence; do not turn uncertain novelty into demonstrated overlap or submission readiness into idea quality.
Every consequential criticism identifies the affected idea statement or assumption, its inspected basis, its significance, and the smallest repair. Do not fabricate prior art, results, reviewer agreement, or acceptance probability. Use abandon only after identifying why no meaningful formulation or plausible rescue remains.
For an internal contribution, run the checks needed for its assigned conceptual question and evidence dependencies, then return findings under the internal output contract. The complete workflow and report apply to a user-requested idea review.
references/strict-idea-review.md for report selection and assessment, including qualitative judgments. Normalize problem → gap → insight → mechanism; keep experimental planning outside default intake.../ccf-common/references/privacy-and-evidence.md, unless browsing is forbidden. Use ccf-literature-searcher to resolve missing closest-work evidence and integrate its mechanism comparison before the verdict. Reuse applicable verified sources and record searched, partially searched, supplied-only, or unsearched coverage. Inspect relevant primary-source content before claiming overlap; missing experimental results are not a concept-review prerequisite.references/expert-panel.md; combine duplicate issues under stable IDs. Experiment reviewers are optional for a requested extension. Use independent calls only if permitted and useful, and label single-agent perspectives honestly.references/rubric.md, references/calibration.md, and ../ccf-common/references/review-output-standards.md. Use the six conceptual dimensions and assessed-weight coverage. Honor no-score requests with qualitative judgments; low confidence is not a low score.strict-idea-review.md by default; use its brief version only for an explicit brevity request or restrictive user format. Put requested optimization or experiment work in its own authorized deliverable.For a bounded internal concept check requested by another skill, return the inspected concept, evidence-backed findings, unresolved questions, and completion conditions to its owner. Do not create a standalone score report or develop a replacement idea. A user-requested idea review retains the report requirements below, including its detailed default and concept-only scope.
Use the concept-review structure defined in references/strict-idea-review.md; do not substitute a generic coaching response or manuscript acceptance report. State the conceptual verdict, prior-art delta, anchored concerns, applicable scorecard, development potential, confidence, and concrete refinements without repeating the same criticism. A rough seed, short prompt, or no-score request does not select brief output or authorize experiment assessment.
For an explicitly requested brief judgment, use the template's five blocks and retain the same concept-only boundary. No forced scores or experimental checklist. Recommendations remain accept-to-develop, revise, pivot-with-rescue-route, abandon, or needs-literature-search.
references/strict-idea-review.md: standard report structure, grounding, and scope.references/rubric.md, references/calibration.md: concept dimensions, weights, coverage, and decision conditions.references/expert-panel.md: distinct conceptual perspectives and optional requested extensions.references/source-notes.md: public provenance and reuse boundaries.../ccf-common/references/review-output-standards.md: evidence, scoring, and concern continuity.For file outputs, follow ../ccf-common/references/artifact-contracts.md: reuse the established report path, keep intermediate files under one stable task directory, and update current files in place. Load this policy only when writing files and it is not already in context.
© mikubaka88, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (references) in ccf-idea-reviewer of mikubaka88/CCFA-Skills.
Open the folder on GitHubat commit 5969e6b
Ccf Idea Reviewer 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 |
|---|---|---|---|---|---|---|
| Ccf Idea Reviewer this skillmikubaka88/CCFA-Skills | 3k | — | ~2.1k | 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 |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
K-Dense-AI/claude-scientific-writer
Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready…
Rimagination/good-question
A skill your agent uses when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled…
limingrui679-design/high-stakes-analytics-decision-lab
Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions.
zjYao36/Auto-Research-Refine
Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.
mikubaka88/CCFA-Skills
Review manuscript claims, evidence, and writing without rewriting.
mikubaka88/CCFA-Skills
Write CCF rebuttals, author responses, revision ledgers, response letters, and conservative resubmission plans.
mikubaka88/CCFA-Skills
Required shared preflight for every CCFA skill after ccf-humanization: apply routing, scope, prerequisites, evidence rules, handoffs, and artifact contracts.
mikubaka88/CCFA-Skills
Design CCF experiment protocols and evidence schemas: datasets, baselines, metrics, ablations, and result-table contents.
mikubaka88/CCFA-Skills
Required first preflight before every CCFA skill, including research, review, retrieval, experiments, visuals, and maintenance.
mikubaka88/CCFA-Skills
Scan recent arXiv/OpenReview papers, venue feeds, labs, and competitors for overlap.
Categories
Assess research ideas for value, novelty, insight, and mechanism. Ccf Idea Reviewer is an agent skill from mikubaka88/CCFA-Skills. Assess research ideas for value, novelty, insight, and mechanism.
Ccf Idea Reviewer fits situations like: no numeric-score request is needed; tasks that involve Hypothesis generation.
Run `npx skills add mikubaka88/CCFA-Skills --skill ccf-idea-reviewer -a claude-code`. Or copy the skill folder (ccf-idea-reviewer in mikubaka88/CCFA-Skills) into .claude/skills/ccf-idea-reviewer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mikubaka88/CCFA-Skills --skill ccf-idea-reviewer -a codex`. Or copy the skill folder (ccf-idea-reviewer in mikubaka88/CCFA-Skills) into .agents/skills/ccf-idea-reviewer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mikubaka88/CCFA-Skills --skill ccf-idea-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ccf-idea-reviewer, .gemini/skills/ccf-idea-reviewer, .github/skills/ccf-idea-reviewer and .opencode/skills/ccf-idea-reviewer in your project.
SKILL.md names no scripts, command-line tools or credentials: Ccf Idea Reviewer is instructions for the agent only.
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.
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.
Ccf Idea Reviewer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ccf Idea Reviewer: 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.
mikubaka88 (a GitHub user) maintains it in mikubaka88/CCFA-Skills, which has 3,015 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on September 16, 2026.
Source: mikubaka88/CCFA-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.