Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Intake a meta-analysis topic from TOPIC.txt, translate it into a PICO or PECO protocol, and define eligibility, outcomes, and search scope.
Install Ma Topic Intake
$ npx skills add htlin222/meta-pipe --skill ma-topic-intake -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install htlin222/meta-pipe ma-topic-intake --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/htlin222/meta-pipe.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ma-topic-intake .claude/skills/ma-topic-intake && 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 "ma-topic-intake" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-topic-intake into .claude/skills/ma-topic-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-topic-intake", 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/htlin222/meta-pipe/tree/main/ma-topic-intakeType 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 htlin222/meta-pipe --skill ma-topic-intake -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install htlin222/meta-pipe ma-topic-intake --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/htlin222/meta-pipe.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ma-topic-intake .agents/skills/ma-topic-intake && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ma-topic-intake" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-topic-intake into .agents/skills/ma-topic-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-topic-intake", 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 htlin222/meta-pipe --skill ma-topic-intake -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install htlin222/meta-pipe ma-topic-intake --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/htlin222/meta-pipe.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ma-topic-intake .cursor/skills/ma-topic-intake && 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 "ma-topic-intake" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-topic-intake into .cursor/skills/ma-topic-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-topic-intake", 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/htlin222/meta-pipe.git --path ma-topic-intake--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 htlin222/meta-pipe --skill ma-topic-intake -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install htlin222/meta-pipe ma-topic-intake --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/htlin222/meta-pipe.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ma-topic-intake .gemini/skills/ma-topic-intake && 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 "ma-topic-intake" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-topic-intake into .gemini/skills/ma-topic-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-topic-intake", 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 htlin222/meta-pipe ma-topic-intakeInstalls 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 htlin222/meta-pipe --skill ma-topic-intake -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/htlin222/meta-pipe.git skills-src && mkdir -p .github/skills && cp -r skills-src/ma-topic-intake .github/skills/ma-topic-intake && 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 "ma-topic-intake" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-topic-intake into .github/skills/ma-topic-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-topic-intake", 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 htlin222/meta-pipe --skill ma-topic-intake -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install htlin222/meta-pipe ma-topic-intake --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/htlin222/meta-pipe.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ma-topic-intake .opencode/skills/ma-topic-intake && 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 "ma-topic-intake" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-topic-intake into .opencode/skills/ma-topic-intake/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-topic-intake", 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
ma-topic-intake- GitHub stars
- 139
- Token cost
- ~743 tokens
- SKILL.md length
- 249 words
- Files
- 6 (incl. references)
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Intake a meta-analysis topic from TOPIC.txt, translate it into a PICO or PECO protocol, and define eligibility, outcomes, and search scope.
- Works in 2 steps: Read TOPIC.txt and restate the question… → Define primary and secondary outcomes,…
- Starting a new meta-analysis project
- SKILL.md covers Overview, Inputs, Outputs and Workflow, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ma Topic Intake is an agent skill from htlin222/meta-pipe. Intake a meta-analysis topic from TOPIC.txt, translate it into a PICO or PECO protocol, and define eligibility, outcomes, and search scope. Use when starting a new meta-analysis project or refining a research question.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/analysis-type-decision-template.md`, `references/brainstorming-best-practices.md` and `references/feasibility-checklist.md`).
It sits in Research & Science, covering Hypothesis generation. The repository describes itself as: Claude Code-powered end-to-end meta-analysis automation: AI-assisted literature review, screening, extraction, analysis, and manuscript generation for systematic reviews and….
When your agent uses it
- Starting a new meta-analysis project
- Refining a research question
Example prompts
- “/ma-topic-intake”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Read TOPIC.txt and restate the question in PICO or PECO form.
- Define primary and secondary outcomes, time horizon, and effect measures.
What it can do on your machine
Read from SKILL.md and the folder at commit 5c5c3f0. 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
Ma Topic Intake loads about 743 tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 249 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 249 words (~743 tokens).
“Turn the raw topic into a formal protocol and a search-ready research question.”
- name
- ma-topic-intake
Files
SKILL.md and 5 other files (references) in ma-topic-intake of htlin222/meta-pipe.
- SKILL.md
- references/analysis-type-decision-template.md
- references/brainstorming-best-practices.md
- references/feasibility-checklist.md
- references/pico-template.yaml
- references/topic-feasibility-quickcard.md
Open the folder on GitHubat commit 5c5c3f0
Compare with similar skills
Ma Topic Intake 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 |
|---|---|---|---|---|---|---|
| Ma Topic Intake this skillhtlin222/meta-pipe | 139 | — | ~743 | Automated safety check: Pass | Custom licence | |
| 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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Nature Paper Card
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Hypothesis Generation
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…
Good Question
Rimagination/good-question
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limingrui679-design/high-stakes-analytics-decision-lab
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Define extraction schema, extract study data from full texts, and store it in a structured database for meta-analysis.
Ma End To End
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End-to-end AI-assisted meta-analysis pipeline orchestration from TOPIC.txt to final manuscript and reviewer responses.
Ma Fulltext Management
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Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction.
Ma Screening Quality
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Perform title and abstract screening, apply inclusion and exclusion criteria, and assess study quality or risk of bias.
Ma Search Bibliography
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Conduct literature searches for meta-analysis using Python with uv, query PubMed and other databases, deduplicate results, and store round-based bibliographies with notes.
Ma Manuscript Quarto
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Related
Categories
Questions about Ma Topic Intake
What does Ma Topic Intake do?
Intake a meta-analysis topic from TOPIC.txt, translate it into a PICO or PECO protocol, and define eligibility, outcomes, and search scope. Ma Topic Intake is an agent skill from htlin222/meta-pipe.txt, translate it into a PICO or PECO protocol, and define eligibility, outcomes, and search scope.
When should I use Ma Topic Intake?
Ma Topic Intake fits situations like: starting a new meta-analysis project; refining a research question.
How do I install Ma Topic Intake in Claude Code?
Run `npx skills add htlin222/meta-pipe --skill ma-topic-intake -a claude-code`. Or copy the skill folder (ma-topic-intake in htlin222/meta-pipe) into .claude/skills/ma-topic-intake in your project. Claude Code loads it when a task matches its description.
How do I install Ma Topic Intake in Codex?
Run `npx skills add htlin222/meta-pipe --skill ma-topic-intake -a codex`. Or copy the skill folder (ma-topic-intake in htlin222/meta-pipe) into .agents/skills/ma-topic-intake in your project. Codex loads it when a task matches its description.
Can I use Ma Topic Intake 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 htlin222/meta-pipe --skill ma-topic-intake -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ma-topic-intake, .gemini/skills/ma-topic-intake, .github/skills/ma-topic-intake and .opencode/skills/ma-topic-intake in your project.
What does Ma Topic Intake need to run?
SKILL.md names no scripts, command-line tools or credentials: Ma Topic Intake is instructions for the agent only.
Does Ma Topic Intake 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 Ma Topic Intake 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 Ma Topic Intake use?
Ma Topic Intake has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Ma Topic Intake use?
About 743 tokens (SKILL.md is roughly 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 12k tokens, read only when the agent opens those files.
What are the alternatives to Ma Topic Intake?
Skills that share tags, products or a category with Ma Topic Intake: 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 Ma Topic Intake?
htlin222 (a GitHub user) maintains it in htlin222/meta-pipe, which has 139 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 23, 2026.
Source: htlin222/meta-pipe on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.