jinze-lee/codex-skills-workbench/keyword-literature-download
Claude Code and agent skill by jinze-lee/codex-skills-workbench
- community
Checking that the SKILL.md file is still in the repository.
Use when the user wants a reusable local workflow to search scholarly APIs for topic keywords, build a candidate table, rapidly download accessible PDFs into a PDF-only folder, optionally cache HTML/XML outside that folder for second-pass PDF discovery, and deduplicate the PDF files.
Install
npx vskill@latest install jinze-lee/codex-skills-workbench/keyword-literature-downloadSKILL.md
Keyword Research Harvest
Use this skill when the user gives a topic or keyword set and wants a local literature-harvesting workflow, not a one-off manual search.
What this skill does
- Bundles its own
literature_harvest/scriptsstack, includingsearch_pubmed.py,search_europepmc.py,search_crossref.py,search_openalex.py,merge_and_deduplicate.py,download_fulltexts.py, andharvest_utils.py. - Searches PubMed/PMC, Europe PMC, Crossref, and OpenAlex through the bundled pipeline.
- Builds a no-dedup candidate table first.
- Downloads legal PDFs in parallel for faster collection.
- Lets the user specify the PDF output folder with
--pdf-output-dirordownload.pdf_output_dir. - Keeps the PDF output folder PDF-only; HTML/XML helper files are cached under
download_work/non_pdf_payloads/. - Runs a second pass to chase PDF links from saved HTML pages.
- Produces a PDF-only deduplicated file folder and manifest after downloading.
Dependency model
This skill is self-contained. The target project does not need to already contain:
literature_harvest/search_pubmed.pydownload_fulltexts.py
The bundled copies live under:
literature_harvest/scripts/
Files in this skill
scripts/run_keyword_harvest_no_dedup.py
Use this to launch a new broad keyword harvest run into a new run folder.
scripts/continue_download_and_dedup.py
Use this to resume pending downloads, try HTML-to-PDF second pass, and build a deduplicated download set.
literature_harvest/scripts/
Bundled search and download dependencies copied from a working local harvest stack so the skill is portable.
references/config_template.json
Copy and edit this for the topic-specific query set and filtering terms.
references/prompt_template.md
Reusable prompt for another AI/agent.
Recommended workflow
- Choose any output parent folder where the new harvest run folder should be created.
- Copy
references/config_template.jsonand edit it for the user's topic keywords. - Run
scripts/run_keyword_harvest_no_dedup.pywith:
--output-root--config--run-name- optional
--pdf-output-dir <folder>to put generated PDFs in a specific PDF-only folder - optional
--download-workers <N>to tune parallel downloads
- If the job is large, rerun with the same
--run-nameand--skip-searchto avoid repeating API search. - Run
scripts/continue_download_and_dedup.py --run-root <run-folder> --retry-failed; it reuses the stored PDF folder unless--pdf-output-diris supplied again. - Report:
- candidate count
- PDF downloaded count
- true PDF count
- HTML/XML cache count
- remaining pending
- deduplicated keep count
Constraints
- Do not silently drop failed downloads.
- Keep metadata even when download fails.
- Prefer original research when the config asks for it, but do not hard-code one research domain.
- Do not claim HTML/XML is PDF.
- Never write HTML, XML, CSV, logs, manifests, or other helper files into the PDF output folder.
- Verify a file starts with the PDF signature before saving it into the PDF output folder.
- Treat second-pass cluster-like or support-like annotations as auxiliary only; downloading remains the primary task.
When to read references
- Read
references/config_template.jsonbefore preparing a new run config. - Read
references/prompt_template.mdwhen the user wants to hand this skill to another AI/agent.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/keyword-literature-download/SKILL.md
Popularity
- Repository stars
- 78
- Repository forks
- 13
- 7-day trend score
- 22
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 16 May 2026, 5 months ago.
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