Agent skill

Fulltext Fetcher

by aipoch in aipoch/medical-research-skills

Fetch and save the original HTML of scientific literature webpages when given a URL, DOI, or PubMed PMID (triggered when you need archival-grade page HTML for downstream parsing or review).

MITAuto-check passedResearch & Science

Install Fulltext Fetcher

skills CLI
$ npx skills add aipoch/medical-research-skills --skill fulltext-fetcher -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills fulltext-fetcher --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/scientific-skills/Other/fulltext-fetcher .claude/skills/fulltext-fetcher && 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
fulltext-fetcher
GitHub stars
2k
Token cost
~2.2k tokens
SKILL.md length
1,015 words
Files
4 (incl. scripts)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Fetch and save the original HTML of scientific literature webpages when given a URL, DOI, or PubMed PMID (triggered when you need archival-grade page HTML for downstream parsing or review).

  • Works in 5 steps: When to Use → Key Features → Dependencies → …
  • Tasks that involve Academic paper search
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 15 more sections
  • Runs Python scripts from its folder; calls python

What it does

Fulltext Fetcher is an agent skill from aipoch/medical-research-skills. Fetch and save the original HTML of scientific literature webpages when given a URL, DOI, or PubMed PMID (triggered when you need archival-grade page HTML for downstream parsing or review).

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `fulltext-fetcher_audit_result_v2.json`, `scripts/fulltext_fetcher.py` and `scripts/validate_skill.py`).

It sits in Research & Science, covering Academic paper search. It works with PubMed. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • Tasks that involve Academic paper search

Example prompts

  • “/fulltext-fetcher”

Requirements

  • Python 3

Workflow steps

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

  1. When to Use
  2. Key Features
  3. Dependencies
  4. Example Usage
  5. Implementation Details

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. 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 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Fulltext Fetcher loads about 2.2k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 1,015 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 1,015 words, ~2,227 tokens.

Download SKILL.mdSave it as .claude/skills/fulltext-fetcher/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
fulltext-fetcher
description
Fetch and save the original HTML of scientific literature webpages when given a URL, DOI, or PubMed PMID (triggered when you need archival-grade page HTML for downstream parsing or review).
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

When to Use

  • Use this skill when the request matches its documented task boundary.
  • Use it when the user can provide the required inputs and expects a structured deliverable.
  • Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.

Key Features

  • Scope-focused workflow aligned to: Fetch and save the original HTML of scientific literature webpages when given a URL, DOI, or PubMed PMID (triggered when you need archival-grade page HTML for downstream parsing or review).
  • Packaged executable path(s): scripts/fulltext_fetcher.py plus 1 additional script(s).
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

  • Python: 3.10+. Repository baseline for current packaged skills.
  • Third-party packages: not explicitly version-pinned in this skill package. Add pinned versions if this skill needs stricter environment control.

Example Usage

bash
cd "20260316/scientific-skills/Others/fulltext-fetcher"
python -m py_compile scripts/fulltext_fetcher.py
python scripts/fulltext_fetcher.py --help

Example run plan:

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/fulltext_fetcher.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: scripts/fulltext_fetcher.py with additional helper scripts under scripts/.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Validation Shortcut

Run this minimal command first to verify the supported execution path:

bash
python scripts/fulltext_fetcher.py --help

fulltext-fetcher

1. When to Use

  • You need to archive the original HTML of a scientific literature webpage for later parsing, auditing, or offline review.
  • You have a DOI and need to quickly resolve it to the landing page and save the resulting HTML.
  • You have a PubMed PMID and need to fetch the PubMed record page HTML (or resolve onward) for extraction workflows.
  • You need to batch fetch multiple public literature pages (URLs/DOIs/PMIDs) into a consistent output directory.
  • You want a safer crawl mode that restricts requests to a whitelist unless explicitly overridden.

2. Key Features

  • Accepts three input types: URL, DOI, and PubMed PMID.
  • Writes one .html file per input and preserves the original HTML.
  • Supports multiple repeated inputs (e.g., multiple --url / --doi / --pmid flags).
  • Default domain whitelist for safer operation; optional override via --allow-all.
  • Built-in timeout and retry behavior to reduce long blocking on network issues.

3. Dependencies

  • Python 3.x
  • Python Standard Library only (no third-party packages)

4. Example Usage

The following commands are intended to be runnable as-is from the repository root.

Fetch a single URL
bash
python scripts/fulltext_fetcher.py --url "https://example.org/page"
Fetch by DOI
bash
python scripts/fulltext_fetcher.py --doi "10.1038/s41586-020-2649-2"
Fetch by PubMed PMID
bash
python scripts/fulltext_fetcher.py --pmid "23273568"
Batch fetch and customize output directory
bash
python scripts/fulltext_fetcher.py \
  --url "https://example.org/page1" \
  --url "https://example.org/page2" \
  --doi "10.1038/s41586-020-2649-2" \
  --pmid "23273568" \
  --out-dir "outputs"
Allow crawling non-whitelisted public domains (explicit opt-in)
bash
python scripts/fulltext_fetcher.py \
  --doi "10.1038/s41586-020-2649-2" \
  --allow-all

5. Implementation Details

Inputs
  • --url (repeatable): Direct webpage URL(s) to fetch.
  • --doi (repeatable): DOI(s) to resolve (typically via doi.org) and fetch.
  • --pmid (repeatable): PubMed PMID(s) to fetch (typically via pubmed.ncbi.nlm.nih.gov / ncbi.nlm.nih.gov).

At least one of --url, --doi, or --pmid must be provided.

Output
  • Produces one HTML file per input.
  • Default output directory: outputs/
  • Output directory can be changed with:
    • --out-dir <path>
Domain access control
  • Default allowed domains:
    • doi.org
    • pubmed.ncbi.nlm.nih.gov
    • ncbi.nlm.nih.gov
  • To fetch from other public domains, you must explicitly enable:
    • --allow-all
Network behavior
  • Uses timeout and retry logic to avoid long-running hangs and to improve robustness against transient network failures.
  • Only targets publicly accessible webpages; it is not intended for restricted or authenticated content.
Verification checklist
  • After running, confirm:
    • The output directory exists.
    • Generated .html files exist and are non-empty.
  • For parallel/coexistence runs, ensure output paths do not collide (use distinct --out-dir values if needed).
Show full SKILL.md (408 more words)Show less

When Not to Use

  • Do not use this skill when the required source data, identifiers, files, or credentials are missing.
  • Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
  • Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.

Required Inputs

  • A clearly specified task goal aligned with the documented scope.
  • All required files, identifiers, parameters, or environment variables before execution.
  • Any domain constraints, formatting requirements, and expected output destination if applicable.
  1. Validate the request against the skill boundary and confirm all required inputs are present.
  2. Select the documented execution path and prefer the simplest supported command or procedure.
  3. Produce the expected output using the documented file format, schema, or narrative structure.
  4. Run a final validation pass for completeness, consistency, and safety before returning the result.

Output Contract

  • Return a structured deliverable that is directly usable without reformatting.
  • If a file is produced, prefer a deterministic output name such as fulltext_fetcher_result.md unless the skill documentation defines a better convention.
  • Include a short validation summary describing what was checked, what assumptions were made, and any remaining limitations.

Validation and Safety Rules

  • Validate required inputs before execution and stop early when mandatory fields or files are missing.
  • Do not fabricate measurements, references, findings, or conclusions that are not supported by the provided source material.
  • Emit a clear warning when credentials, privacy constraints, safety boundaries, or unsupported requests affect the result.
  • Keep the output safe, reproducible, and within the documented scope at all times.

Failure Handling

  • If validation fails, explain the exact missing field, file, or parameter and show the minimum fix required.
  • If an external dependency or script fails, surface the command path, likely cause, and the next recovery step.
  • If partial output is returned, label it clearly and identify which checks could not be completed.

Quick Validation

Run this minimal verification path before full execution when possible:

bash
python scripts/fulltext_fetcher.py --help

Expected output format:

text
Result file: fulltext_fetcher_result.md
Validation summary: PASS/FAIL with brief notes
Assumptions: explicit list if any

Deterministic Output Rules

  • Use the same section order for every supported request of this skill.
  • Keep output field names stable and do not rename documented keys across examples.
  • If a value is unavailable, emit an explicit placeholder instead of omitting the field.

Completion Checklist

  • Confirm all required inputs were present and valid.
  • Confirm the supported execution path completed without unresolved errors.
  • Confirm the final deliverable matches the documented format exactly.
  • Confirm assumptions, limitations, and warnings are surfaced explicitly.

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts) in scientific-skills/Other/fulltext-fetcher of aipoch/medical-research-skills.

  • SKILL.md
  • fulltext-fetcher_audit_result_v2.json
  • scripts/fulltext_fetcher.py
  • scripts/validate_skill.py

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Fulltext Fetcher 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.

Fulltext Fetcher compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fulltext Fetcher this skillaipoch/medical-research-skills2k—~2.2kAutomated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT
Citation Managementneflibata-feng/MyArxiv-Agent12619 repos~8.1kAutomated safety check: NotesMIT
Paper Searchopenags/paper-search-mcp2.8k—~1.2kAutomated safety check: NotesMIT
Nature Academic Searchwp-a/nature-academic-search301—~1.4kAutomated safety check: PassMIT

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Works with

Questions about Fulltext Fetcher

What does Fulltext Fetcher do?

Fetch and save the original HTML of scientific literature webpages when given a URL, DOI, or PubMed PMID (triggered when you need archival-grade page HTML for downstream parsing or review). Fulltext Fetcher is an agent skill from aipoch/medical-research-skills. Fetch and save the original HTML of scientific literature webpages when given a URL, DOI, or PubMed PMID (triggered when you need archival-grade page HTML for downstream parsing or review).

When should I use Fulltext Fetcher?

Fulltext Fetcher fits situations like: tasks that involve Academic paper search.

How do I install Fulltext Fetcher in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill fulltext-fetcher -a claude-code`. Or copy the skill folder (scientific-skills/Other/fulltext-fetcher in aipoch/medical-research-skills) into .claude/skills/fulltext-fetcher in your project. Claude Code loads it when a task matches its description.

How do I install Fulltext Fetcher in Codex?

Run `npx skills add aipoch/medical-research-skills --skill fulltext-fetcher -a codex`. Or copy the skill folder (scientific-skills/Other/fulltext-fetcher in aipoch/medical-research-skills) into .agents/skills/fulltext-fetcher in your project. Codex loads it when a task matches its description.

Can I use Fulltext Fetcher 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 aipoch/medical-research-skills --skill fulltext-fetcher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fulltext-fetcher, .gemini/skills/fulltext-fetcher, .github/skills/fulltext-fetcher and .opencode/skills/fulltext-fetcher in your project.

What does Fulltext Fetcher need to run?

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

Does Fulltext Fetcher 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 Fulltext Fetcher 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 Fulltext Fetcher use?

Fulltext Fetcher is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fulltext Fetcher use?

About 2.2k tokens (SKILL.md is roughly 8.9k 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 Fulltext Fetcher?

Skills that share tags, products or a category with Fulltext Fetcher: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars), Citation Management (neflibata-feng/MyArxiv-Agent, 126 stars) and Paper Search (openags/paper-search-mcp, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fulltext Fetcher?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,978 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.