Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Run network meta-analysis in R with gemtc (Bayesian, primary) and netmeta (frequentist, sensitivity), generate network graphs, league tables, SUCRA rankings, inconsistency diagnostics, and CINeMA…
Install Ma Network Meta Analysis
$ npx skills add htlin222/meta-pipe --skill ma-network-meta-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install htlin222/meta-pipe ma-network-meta-analysis --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-network-meta-analysis .claude/skills/ma-network-meta-analysis && 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-network-meta-analysis" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-network-meta-analysis into .claude/skills/ma-network-meta-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-network-meta-analysis", 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-network-meta-analysisType 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-network-meta-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install htlin222/meta-pipe ma-network-meta-analysis --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-network-meta-analysis .agents/skills/ma-network-meta-analysis && 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-network-meta-analysis" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-network-meta-analysis into .agents/skills/ma-network-meta-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-network-meta-analysis", 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-network-meta-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install htlin222/meta-pipe ma-network-meta-analysis --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-network-meta-analysis .cursor/skills/ma-network-meta-analysis && 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-network-meta-analysis" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-network-meta-analysis into .cursor/skills/ma-network-meta-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-network-meta-analysis", 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-network-meta-analysis--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-network-meta-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install htlin222/meta-pipe ma-network-meta-analysis --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-network-meta-analysis .gemini/skills/ma-network-meta-analysis && 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-network-meta-analysis" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-network-meta-analysis into .gemini/skills/ma-network-meta-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-network-meta-analysis", 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-network-meta-analysisInstalls 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-network-meta-analysis -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-network-meta-analysis .github/skills/ma-network-meta-analysis && 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-network-meta-analysis" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-network-meta-analysis into .github/skills/ma-network-meta-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-network-meta-analysis", 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-network-meta-analysis -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-network-meta-analysis --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-network-meta-analysis .opencode/skills/ma-network-meta-analysis && 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-network-meta-analysis" agent skill from https://github.com/htlin222/meta-pipe/tree/main/ma-network-meta-analysis into .opencode/skills/ma-network-meta-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ma-network-meta-analysis", 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-network-meta-analysis- GitHub stars
- 139
- Token cost
- ~2k tokens
- SKILL.md length
- 779 words
- Files
- 25 (incl. scripts, references, assets)
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Run network meta-analysis in R with gemtc (Bayesian, primary) and netmeta (frequentist, sensitivity), generate network graphs, league tables, SUCRA rankings, inconsistency diagnostics, and CINeMA…
- Works in 12 steps: Initialize renv in 06_analysis/ and… → Copy NMA R templates from… → Prepare data in contrast-based or… → …
- Comparing ≥3 treatments with direct and indirect evidence
- SKILL.md covers Overview, Methodological Rationale (2026…, When to Use and Inputs, plus 7 more sections
- Runs R scripts from its folder
What it does
Ma Network Meta Analysis is an agent skill from htlin222/meta-pipe. Run network meta-analysis in R with gemtc (Bayesian, primary) and netmeta (frequentist, sensitivity), generate network graphs, league tables, SUCRA rankings, inconsistency diagnostics, and CINeMA GRADE assessment. Use when comparing ≥3 treatments with direct and indirect evidence.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 27 other files, including scripts, reference files and assets (for example `references/cnma-guide.md`, `references/nma-assumptions.md` and `references/nma-completion-checklist.md`).
It sits in Research & Science. 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
- Comparing ≥3 treatments with direct and indirect evidence
Example prompts
- “/ma-network-meta-analysis”
Workflow steps
12 steps, taken from the first numbered list in SKILL.md.
- Initialize renv in 06_analysis/ and install gemtc, rjags, netmeta, meta, metafor, ggplot2, gt.
- Copy NMA R templates from ma-network-meta-analysis/assets/r/ into 06_analysis/ and adapt to study schema.
- Prepare data in contrast-based or arm-based format for gemtc.
- Verify network connectivity with netconnection() and visualize geometry with netgraph().
- Fit Bayesian NMA with gemtc (primary): consistency model, random effects, empirical priors (Turner/Rhodes) or vague priors. Check…
- Assess inconsistency: node-splitting (mtc.nodesplit()), unrelated mean effects model, and design decomposition via netmeta.
- Generate forest plots from posterior distributions at 300 DPI.
- Compute SUCRA rankings and rankograms from posterior samples.
- Create comparison-adjusted funnel plot.
- Run frequentist sensitivity with netmeta(method.tau="REML") — place in supplement.
- Export league table (full pairwise comparisons), heatmap, and rankings as gt/PNG at 300 DPI.
- Run CINeMA assessment (GRADE for NMA) — rate certainty of each comparison.
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
Ships 1 file in scripts/ (R, from the files we listed), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
cinema.ispm.unibe.ch
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 Network Meta Analysis loads about 2k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 779 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); the scripts in this folder 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 779 words (~2,036 tokens).
“Analyze extracted data comparing three or more treatments using network meta-analysis methods. Primary analysis is Bayesian (gemtc) per 2026 NICE/WHO/Cochrane methodological consensus. Frequentist sensitivity (netmeta) goes in supplement.”
- name
- ma-network-meta-analysis
Files
SKILL.md and 24 other files (scripts, references, assets) in ma-network-meta-analysis of htlin222/meta-pipe.
- SKILL.md
- assets/r/nma_01_setup.R
- assets/r/nma_02_data_prep.R
- assets/r/nma_03_network_graph.R
- assets/r/nma_04_models.R
- assets/r/nma_05_inconsistency.R
- assets/r/nma_06_forest_plots.R
- assets/r/nma_07_ranking.R
- assets/r/nma_08_funnel.R
- assets/r/nma_09_sensitivity.R
- assets/r/nma_10_tables.R
- assets/r/nma_11_cnma.R
- assets/r/nma_12_meta_regression.R
- assets/r/nma_13_transitivity_tests.R
- references/cnma-guide.md
- references/nma-assumptions.md
- references/nma-completion-checklist.md
- references/nma-grade-certainty-workflow.md
- … and 7 more
Open the folder on GitHubat commit 5c5c3f0
Compare with similar skills
Ma Network Meta Analysis 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 Network Meta Analysis this skillhtlin222/meta-pipe | 139 | — | ~2k | Automated safety check: Pass | Custom licence | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT |
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Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Peer Review
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Structured manuscript/grant review with checklist-based evaluation.
Last30days
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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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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.
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Related
Categories
Questions about Ma Network Meta Analysis
What does Ma Network Meta Analysis do?
Run network meta-analysis in R with gemtc (Bayesian, primary) and netmeta (frequentist, sensitivity), generate network graphs, league tables, SUCRA rankings, inconsistency diagnostics, and CINeMA…. Ma Network Meta Analysis is an agent skill from htlin222/meta-pipe. Run network meta-analysis in R with gemtc (Bayesian, primary) and netmeta (frequentist, sensitivity), generate network graphs, league tables, SUCRA rankings, inconsistency diagnostics, and CINeMA GRADE assessment.
When should I use Ma Network Meta Analysis?
Ma Network Meta Analysis fits situations like: comparing ≥3 treatments with direct and indirect evidence.
How do I install Ma Network Meta Analysis in Claude Code?
Run `npx skills add htlin222/meta-pipe --skill ma-network-meta-analysis -a claude-code`. Or copy the skill folder (ma-network-meta-analysis in htlin222/meta-pipe) into .claude/skills/ma-network-meta-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Ma Network Meta Analysis in Codex?
Run `npx skills add htlin222/meta-pipe --skill ma-network-meta-analysis -a codex`. Or copy the skill folder (ma-network-meta-analysis in htlin222/meta-pipe) into .agents/skills/ma-network-meta-analysis in your project. Codex loads it when a task matches its description.
Can I use Ma Network Meta Analysis 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-network-meta-analysis -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-network-meta-analysis, .gemini/skills/ma-network-meta-analysis, .github/skills/ma-network-meta-analysis and .opencode/skills/ma-network-meta-analysis in your project.
What does Ma Network Meta Analysis need to run?
Going by SKILL.md and its folder, Ma Network Meta Analysis needs R for the scripts in its folder.
Does Ma Network Meta Analysis access the network?
SKILL.md names 1 domain. As links in the text: cinema.ispm.unibe.ch. This is read from the text; nothing was executed.
Is Ma Network Meta Analysis 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Ma Network Meta Analysis use?
Ma Network Meta Analysis 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 Network Meta Analysis use?
About 2k tokens (SKILL.md is roughly 8.1k 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 20k tokens, read only when the agent opens those files.
What are the alternatives to Ma Network Meta Analysis?
Skills that share tags, products or a category with Ma Network Meta Analysis: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ma Network Meta Analysis?
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.