Research Lookup (Manuscript Evidence Packet)
Builds a manuscript-ready research packet — 60 verified, deduplicated references plus evidence matrix and BibTeX — using Parallel Search, Extract, and Research.
EducationIntermediate★ 33,030⑂ 3,248AI score 9/10Last updated: Aug 9, 2026
What it does
- Takes manuscript context (research question, study type, population, exposure, comparator, outcomes, date range) via a JSON file to constrain retrieval.
- Runs six bounded academic search passes: recent primary studies, systematic reviews/meta-analyses, seminal work, methods and protocols, contradictory/null evidence, and an unrestricted companion pass to close gaps.
- Verifies candidates with Parallel Extract for authors, year, venue, DOI/PMID, design, sample size, quantitative findings, limitations, and retraction status.
- Writes an auditable packet directory:
packet.json/md,references.json/.bib,evidence-matrix.json,claim-source-map.json,synthesis.json,section-briefs.json,coverage.json,search-ledger.json. - Enforces citation hygiene: dedupe by DOI/PMID/title, exclude retracted work, flag preprints, never fabricate metadata, never pad shortfalls.
Who it's for
- Grad students and researchers drafting Introduction, Methods rationale, and Discussion sections.
- Anyone who needs both supporting and conflicting evidence for a scientific claim.
- Teams that want verified reference metadata and BibTeX rather than a pile of links.
- Not for PRISMA systematic reviews — hand those to the
literature-reviewskill.
Example uses
- Create
manuscript-context.json, then run the script with--academic --target-references 60 --packet-dir sources/manuscript-research --jsonfor a full packet. - On an explicit "do exhaustive research" request, use
--force-backend research --processor pro -o sources/deep-research.md. - When the reference target is missed, open
coverage.jsonand refine terminology, date range, or domains instead of lowering quality. - Cover several questions at once with
--batch "query one" "query two", each getting its own packet subdirectory.
· · · Install guide · · ·
Try it now, no install
Paste this into Claude to use the skill without installing anything.
Read the instructions in this file and follow them to help me: https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/research-lookup/SKILL.md What I want: (describe your task here)
If Claude can't open the link, open it yourself and paste the contents instead.
↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.
Install in the Claude app (no terminal)
- Download the ZIP with the button below.
- In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
- Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
Install in Claude Code
Let Claude do it — paste this into Claude Code
Install the skill I found on Claude Skill Mart. Copy the skills/research-lookup folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/research-lookup/. When it's done, tell me in one line what this skill can do.
Install with a command instead
git clone https://github.com/K-Dense-AI/scientific-agent-skills.git && mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/research-lookup ~/.claude/skills/⚠ This is a third-party skill. Check the source repository before installing.
- Clone the repo:
git clone https://github.com/K-Dense-AI/scientific-agent-skills.git - Install the skill:
mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/research-lookup ~/.claude/skills/ - Install the pinned CLI:
uv tool install "parallel-web-tools[cli]==0.7.1"(installuvfirst if you don't have it). - Authenticate:
parallel-cli login, orparallel-cli login --deviceon headless machines. - For the Chat backend or headless runs, export
PARALLEL_API_KEYin your shell profile; addOPENROUTER_API_KEYonly if you want the optional Perplexity path. Never pass keys as command arguments. - Verify with
parallel-cli --versionandparallel-cli auth. - Restart Claude Code and ask something like "gather literature and build a manuscript research packet for this research question."
View source on GitHub ↗License: MIT