Agent skill

Ma Fulltext Management

by htlin222 in htlin222/meta-pipe

Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction.

Custom licenceAuto-check: notesDocuments & Office

Install Ma Fulltext Management

skills CLI
$ npx skills add htlin222/meta-pipe --skill ma-fulltext-management -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install htlin222/meta-pipe ma-fulltext-management --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/htlin222/meta-pipe.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ma-fulltext-management .claude/skills/ma-fulltext-management && rm -rf skills-src

Use ~/.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/

Facts

Skill name
ma-fulltext-management
GitHub stars
139
Token cost
~1.7k tokens
SKILL.md length
602 words
Files
12 (incl. scripts, references)
Skills in repo
15
Repo updated
First seen
Licence
Custom licence

At a glance

Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction.

  • Works in 2 steps: Web-Based Data Gathering (Default — No… → Targeted PDF Retrieval (Only for…
  • Moving from screening to data extraction
  • SKILL.md covers Overview, Inputs, Outputs and Workflow (Web-First Hybrid —…, plus 4 more sections
  • Runs Python scripts from its folder; calls uv; reaches pubmed.ncbi.nlm.nih.gov and clinicaltrials.gov

What it does

Ma Fulltext Management is an agent skill from htlin222/meta-pipe. Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction. Use when moving from screening to data extraction.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and reference files (for example `README.md`, `references/changelog-unpaywall.md` and `references/fulltext-quickstart-template.md`).

It sits in Documents & Office, covering PDF. 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

  • Moving from screening to data extraction
  • Tasks that involve PDF

Example prompts

  • “/ma-fulltext-management”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Web-Based Data Gathering (Default — No PDFs Needed)
  2. Targeted PDF Retrieval (Only for Low-Confidence Studies)

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 5 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • pubmed.ncbi.nlm.nih.gov
    • clinicaltrials.gov

    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 Fulltext Management loads about 1.7k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 602 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:75
    Unpaywall requires `UNPAYWALL_EMAIL` in `.env`.

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 602 words (~1,680 tokens).

“Gather full texts, validate completeness, and prepare a clean manifest.”

— opening of SKILL.md by htlin222, Custom licence
name
ma-fulltext-management

Read the full SKILL.md on GitHub

Files

SKILL.md and 11 other files (scripts, references) in ma-fulltext-management of htlin222/meta-pipe.

  • SKILL.md
  • README.md
  • references/changelog-unpaywall.md
  • references/fulltext-quickstart-template.md
  • references/manifest-template.csv
  • references/unpaywall-comparison.md
  • references/unpaywall-robust.md
  • scripts/analyze_unpaywall.py
  • scripts/download_oa_pdfs.py
  • scripts/render_pdf_previews.py
  • scripts/unpaywall_fetch.py
  • scripts/unpaywall_fetch_robust.py

Open the folder on GitHubat commit 5c5c3f0

Compare with similar skills

Ma Fulltext Management 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.

Ma Fulltext Management compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ma Fulltext Management this skillhtlin222/meta-pipe139—~1.7kAutomated safety check: NotesCustom licence
Paper Interpretationdigoal/blog8.6k—~1.5kAutomated safety check: PassGPL-2.0
Paper LensYSQ-boop/paper-lens101—~1.3kAutomated safety check: PassApache-2.0
Paper ReviewRapidAI/MaClaw147—~1kAutomated safety check: PassMIT
Paper Interpreterchujianyun/skills742—~810Automated safety check: PassCustom licence
Mindmap Renderai4s-research/ai4s-skills2371 repos~3.1kAutomated safety check: PassMIT

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Questions about Ma Fulltext Management

What does Ma Fulltext Management do?

Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction. Ma Fulltext Management is an agent skill from htlin222/meta-pipe. Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction.

When should I use Ma Fulltext Management?

Ma Fulltext Management fits situations like: moving from screening to data extraction; tasks that involve PDF.

How do I install Ma Fulltext Management in Claude Code?

Run `npx skills add htlin222/meta-pipe --skill ma-fulltext-management -a claude-code`. Or copy the skill folder (ma-fulltext-management in htlin222/meta-pipe) into .claude/skills/ma-fulltext-management in your project. Claude Code loads it when a task matches its description.

How do I install Ma Fulltext Management in Codex?

Run `npx skills add htlin222/meta-pipe --skill ma-fulltext-management -a codex`. Or copy the skill folder (ma-fulltext-management in htlin222/meta-pipe) into .agents/skills/ma-fulltext-management in your project. Codex loads it when a task matches its description.

Can I use Ma Fulltext Management 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-fulltext-management -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-fulltext-management, .gemini/skills/ma-fulltext-management, .github/skills/ma-fulltext-management and .opencode/skills/ma-fulltext-management in your project.

What does Ma Fulltext Management need to run?

Going by SKILL.md and its folder, Ma Fulltext Management needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Ma Fulltext Management access the network?

SKILL.md names 2 domains. In commands or code: pubmed.ncbi.nlm.nih.gov and clinicaltrials.gov; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Ma Fulltext Management safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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 Fulltext Management use?

Ma Fulltext Management 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 Fulltext Management use?

About 1.7k tokens (SKILL.md is roughly 6.7k 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 10k tokens, read only when the agent opens those files.

What are the alternatives to Ma Fulltext Management?

Skills that share tags, products or a category with Ma Fulltext Management: Paper Interpretation (digoal/blog, 8.6k stars), Paper Lens (YSQ-boop/paper-lens, 101 stars), Paper Review (RapidAI/MaClaw, 147 stars) and Paper Interpreter (chujianyun/skills, 742 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ma Fulltext Management?

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.