Agent skill

Pp Scientific Consensus

by mvanhorn in mvanhorn/printing-press-library

Aggregate PubMed, OpenAlex, Crossref, and Europe PMC into evidence summaries, consensus scores Trigger phrases: what does the evidence say about, scientific consensus on, is there consensus that…

Apache-2.0Auto-check: notesResearch & Science

Install Pp Scientific Consensus

skills CLI
$ npx skills add mvanhorn/printing-press-library --skill pp-scientific-consensus -a claude-code

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

GitHub CLI
$ gh skill install mvanhorn/printing-press-library pp-scientific-consensus --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/mvanhorn/printing-press-library.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-skills/pp-scientific-consensus .claude/skills/pp-scientific-consensus && 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
pp-scientific-consensus
GitHub stars
2.1k
Token cost
~4.9k tokens
SKILL.md length
1,982 words
Files
1
Skills in repo
506
Repo updated
First seen
Licence
Apache-2.0

At a glance

Aggregate PubMed, OpenAlex, Crossref, and Europe PMC into evidence summaries, consensus scores Trigger phrases: what does the evidence say about, scientific consensus on, is there consensus that…

  • Works in 3 steps: Install via the Printing Press… → Verify: scientific-consensus-pp-cli… → Ensure the reported install directory is…
  • Phrases: what does the evidence say about
  • SKILL.md covers Prerequisites: Install the CLI, When to Use This CLI, Anti-triggers and Unique Capabilities, plus 11 more sections
  • Calls go, claude and npx; needs NCBI_API_KEY and SEMANTIC_SCHOLAR_API_KEY

What it does

Pp Scientific Consensus is an agent skill from mvanhorn/printing-press-library. Aggregate PubMed, OpenAlex, Crossref, and Europe PMC into evidence summaries, consensus scores Trigger phrases: what does the evidence say about, scientific consensus on, is there consensus that, evidence pyramid for, research gaps in, compare the evidence for, use scientific-consensus, run scientific-consensus.

Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Academic paper search. It works with PubMed. The repository describes itself as: Official library of CLIs generated by the CLI Printing Press. Endorsed, tested, and community-contributed. The licence is Apache-2.0.

When your agent uses it

  • Phrases: what does the evidence say about
  • Scientific consensus on
  • Is there consensus that
  • Evidence pyramid for

Example prompts

  • “/pp-scientific-consensus”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Read, Bash

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and…
  2. Verify: scientific-consensus-pp-cli --version
  3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill.

What it can do on your machine

Read from SKILL.md and the folder at commit d9a1696. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • go
    • claude
    • npx

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

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • NCBI_API_KEY
    • SEMANTIC_SCHOLAR_API_KEY
    • ANTHROPIC_API_KEY
    • OPENAI_API_KEY
    • DEEPSEEK_API_KEY
    • GEMINI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pp Scientific Consensus loads about 4.9k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 1,982 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~4.9k

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.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from mvanhorn/printing-press-library at commit d9a1696, republished under its Apache-2.0 licence (© mvanhorn). 1,982 words, ~4,913 tokens.

Download SKILL.mdSave it as .claude/skills/pp-scientific-consensus/SKILL.md (or your agent's skills folder).
name
pp-scientific-consensus
description
Aggregate PubMed, OpenAlex, Crossref, and Europe PMC into evidence summaries, consensus scores Trigger phrases: `what does the evidence say about`, `scientific consensus on`, `is there consensus that`, `evidence pyramid for`, `research gaps in`, `compare the evidence for`, `use scientific-consensus`, `run scientific-consensus`.
allowed-tools
Read, Bash
author
laci141
license
Apache-2.0
argument-hint
<command> [args] | install cli|mcp
<!-- GENERATED FILE — DO NOT EDIT.
     This file is a verbatim mirror of library/other/scientific-consensus/SKILL.md,
     regenerated post-merge by tools/generate-skills/. Hand-edits here are
     silently overwritten on the next regen. Edit the library/ source instead.
     See the repository agent guide, section "Generated artifacts: registry.json, cli-skills/". -->

Scientific Consensus — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the scientific-consensus-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:

  1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:
    bash
    npx -y @mvanhorn/printing-press-library install scientific-consensus --cli-only
  2. Verify: scientific-consensus-pp-cli --version
  3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill.

If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.6 or newer). This installs into $GOPATH/bin (default $HOME/go/bin), so add that directory to $PATH instead:

bash
go install github.com/mvanhorn/printing-press-library/library/other/scientific-consensus/cmd/scientific-consensus-pp-cli@latest

If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.

Scientific Consensus turns large collections of papers into actionable evidence. It scores consensus across sources (consensus), classifies studies by design and renders evidence pyramids (evidence), detects gaps and controversies, and persists everything to a local SQLite store you can query offline with --json. Fully keyless; optional AI keys upgrade summarization.

When to Use This CLI

Use Scientific Consensus when an agent or researcher needs to know what the evidence says about a claim, not just find papers. It is the right tool for evidence synthesis, consensus scoring, study-design classification, gap/controversy detection, and topic monitoring across biomedical and general scientific literature. It excels when offline persistence and agent-native JSON matter.

Anti-triggers

Do not use this CLI for:

  • Do not use for retrieving the full text PDF of a specific paper (use the publisher or Europe PMC full-text directly).
  • Do not use for non-scholarly web search or news.
  • Do not use as a citation manager replacement for writing (use Zotero); it exports BibTeX but does not manage libraries.
  • Do not treat heuristic consensus/quality scores as peer-reviewed conclusions.

Unique Capabilities

These capabilities aren't available in any other tool for this API.

Evidence intelligence
  • consensus — Answer 'what does the evidence say about X' with a Consensus Score, Confidence Score, and Evidence Strength across all sources.

    Reach for this when an agent needs an evidence-backed yes/no/mixed verdict instead of a raw paper list.

    bash
    scientific-consensus consensus "vitamin D reduces respiratory infections" --agent
  • evidence — Classify retrieved studies by design (meta-analysis to case report) and render the evidence pyramid for a topic.

    Reach for this to judge whether a claim rests on RCTs/meta-analyses or just case series.

    bash
    scientific-consensus evidence "intermittent fasting weight loss" --agent
  • compare — Run two consensus analyses side-by-side to compare competing claims or interventions.

    Reach for this when an agent must weigh two interventions or contradictory claims.

    bash
    scientific-consensus compare "statins reduce mortality" "statins increase diabetes risk" --agent
  • reproducibility — Estimate reproducibility by detecting replication studies, sample sizes, and pre-registration cues.

    Reach for this to gauge how well-replicated a finding is.

    bash
    scientific-consensus reproducibility "power posing" --agent
  • quality — Estimate overall study quality from design, venue prestige, sample-size cues, and citation mass.

    Reach for this for a quick quality signal before deep reading.

    bash
    scientific-consensus quality "omega-3 depression" --agent
Discovery
  • gaps — Identify understudied populations, missing long-term/replication/RCT studies, and future directions for a topic.

    Reach for this to find what research is missing, not just what exists.

    bash
    scientific-consensus gaps "pediatric long covid" --agent
  • controversies — Surface conflicting studies, contradictory conclusions, and rapidly changing evidence for a topic.

    Reach for this when the question is 'is this settled or disputed?'

    bash
    scientific-consensus controversies "saturated fat heart disease" --agent
  • funding — Analyze funding patterns and funder concentration for a research topic.

    Reach for this to see who funds research on a topic (potential conflicts).

    bash
    scientific-consensus funding "e-cigarette safety" --agent
Utilities
  • convert — Translate a DOI to a PMID or vice versa using the OpenAlex work index. Pass exactly one of --doi or --pmid; the other identifier is returned along with the title.

    Reach for this whenever an agent has one identifier type but needs the other (e.g. a citation tool wants a PMID, a DOI resolver gives you a DOI).

    bash
    scientific-consensus convert --doi 10.1136/bmj.i6583 --agent
    scientific-consensus convert --pmid 32939066 --agent
  • batch — Run consensus analysis for multiple claims from one or more files (plain text, one claim per line, blank lines and # comments skipped). Accepts globs; duplicates are deduplicated. Returns a summary table or a flat JSON array, one item per claim.

    Reach for this when an agent must score many claims at once without shell-looping over consensus.

    bash
    scientific-consensus batch claims.txt --agent
    scientific-consensus batch claims*.txt --limit 20 --json
  • report — Export an analyzed works report for a topic as an Excel (.xlsx) workbook: a Works sheet (one row per study with title, first author, year, DOI, PMID, venue, design, stance, stance confidence, citations, open access) and a Summary sheet (query metadata plus stance/design aggregates). Uses the same design/stance engine as consensus and evidence. Unlike export (raw JSONL/JSON API dumps), report writes analyzed, spreadsheet-ready results.

    Reach for this when a researcher wants to hand off results to Excel, Google Sheets, or any spreadsheet-based screening workflow.

    bash
    scientific-consensus report "vitamin D respiratory infections" --output report.xlsx
    scientific-consensus report "microplastics" -o mp.xlsx --claim "microplastics harm human health" --limit 100 --agent
  • citations — Build a citation network around a seed work (by --doi, --pmid, or --id): the works citing it (cited-by), the works it references (references), or both. Bounded by --depth (max 2 hops) and --max-nodes (hard cap). --json returns flat nodes + edges arrays ready for a web graph renderer; the human default is a compact summary.

    Reach for this to trace influence, find high-impact neighbors, or feed a network-visualization tool.

    bash
    scientific-consensus citations --doi 10.1136/bmj.i6583 --agent
    scientific-consensus citations --id W2741809807 --depth 2 --max-nodes 80 --direction cited-by --agent
  • emerging — Detect the fastest-growing research areas and exploding publication trends.

    Reach for this to spot hot research areas before they peak.

    bash
    scientific-consensus emerging --field neuroscience --agent
  • drift — Compare a field's topic distribution between two year windows to spot emerging and fading subtopics.

    Reach for this to see how a field's focus shifted over time.

    bash
    scientific-consensus drift "machine learning genomics" --from 2015 --to 2025 --agent
  • watch — Monitor a topic and report major new publications since the last run.

    Reach for this to keep an agent or researcher current on a fast-moving topic.

    bash
    scientific-consensus watch "GLP-1 cardiovascular outcomes" --agent

Command Reference

authors — Search and retrieve authors

  • scientific-consensus-pp-cli authors get — Get a single author by OpenAlex ID
  • scientific-consensus-pp-cli authors search — Search authors

funders — Research funders

  • scientific-consensus-pp-cli funders — Search funders

institutions — Search and retrieve institutions

  • scientific-consensus-pp-cli institutions get — Get a single institution by OpenAlex ID
  • scientific-consensus-pp-cli institutions search — Search institutions

sources — Journal (source) metadata

  • scientific-consensus-pp-cli sources get — Get a journal (source) by ISSN or OpenAlex ID
  • scientific-consensus-pp-cli sources search — Search sources (journals)

topics — Research topics

  • scientific-consensus-pp-cli topics — Search topics

works — Search and retrieve scholarly works

  • scientific-consensus-pp-cli works get — Get a single work by OpenAlex ID, DOI, or PMID
  • scientific-consensus-pp-cli works search — Search scholarly works

convert — DOI ↔ PMID identifier translation

  • scientific-consensus-pp-cli convert --doi <doi> — Look up the PMID (and title) for a DOI
  • scientific-consensus-pp-cli convert --pmid <pmid> — Look up the DOI (and title) for a PMID

batch — Batch consensus over claim files

  • scientific-consensus-pp-cli batch <file|glob> [...] — Run consensus analysis for every claim in one or more files (blank lines and # comments skipped; globs and duplicate files are handled automatically)

report — Excel report export

  • scientific-consensus-pp-cli report <query> --output <file.xlsx> — Export analyzed works (design + stance classified) as a two-sheet Excel workbook; --claim overrides the stance target, --filter narrows with an OpenAlex filter, --limit caps the works analyzed

citations — Citation-network graph

  • scientific-consensus-pp-cli citations --doi <doi> — Build a citation graph from a DOI seed
  • scientific-consensus-pp-cli citations --pmid <pmid> — Build a citation graph from a PMID seed
  • scientific-consensus-pp-cli citations --id <W...> — Build a citation graph from an OpenAlex ID seed
Show full SKILL.md (872 more words)Show less
Finding the right command

When you know what you want to do but not which command does it, ask the CLI directly:

bash
scientific-consensus-pp-cli which "<capability in your own words>"

which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query.

Recipes

Evidence-backed verdict for an agent
bash
scientific-consensus consensus "creatine improves cognition" --agent --select verdict,consensus_score,confidence,study_count

Returns a compact JSON verdict an agent can act on without parsing papers.

Evidence pyramid as a table
bash
scientific-consensus evidence "mediterranean diet cardiovascular" --csv

Study-design distribution from meta-analyses down to case reports.

Compare two claims
bash
scientific-consensus compare "intermittent fasting weight loss" "calorie counting weight loss" --agent

Side-by-side consensus and evidence strength for competing approaches.

Curate a deduped reading list
bash
scientific-consensus curate "crispr off-target effects" --format bibtex --limit 25

Ranked, cross-source, DOI-deduplicated reading list exported as BibTeX.

Track a fast-moving topic
bash
scientific-consensus watch "GLP-1 cardiovascular outcomes" --agent

Reports new publications since the last run from the local baseline.

Translate a DOI to PMID
bash
scientific-consensus convert --doi 10.1136/bmj.i6583 --agent

Returns the PMID, DOI, and title from the OpenAlex work index. Use --pmid for the reverse direction.

Run consensus on a batch of claims
bash
scientific-consensus batch claims.txt --limit 20 --agent

One claim per line; blank lines and # comments are skipped; globs and duplicate files are handled. Returns a verdict, consensus score, and evidence strength for each claim as a flat JSON array under --json.

Explore a paper's citation network
bash
scientific-consensus citations --doi 10.1136/bmj.i6583 --depth 1 --max-nodes 50 --agent

Returns nodes (id, title, year, cited_by_count) and edges (from → to) bounded by --max-nodes. Use --direction cited-by for papers citing the seed, references for papers it cites, or both (default). --depth 2 expands one additional hop.

Auth Setup

No API key required for any command. Optional env vars raise limits or enable AI summarization: NCBI_API_KEY (PubMed, higher rate limit), SEMANTIC_SCHOLAR_API_KEY (Semantic Scholar enrichment), and ANTHROPIC_API_KEY / OPENAI_API_KEY / DEEPSEEK_API_KEY / GEMINI_API_KEY (enhanced summarization; first configured key wins — DeepSeek sits after Anthropic/OpenAI and before Gemini/Groq/Mistral; OpenAI-compatible providers sample at temperature 0). Everything works without them.

Run scientific-consensus-pp-cli doctor to verify setup.

Agent Mode

Add --agent to any command. Expands to: --json --compact --no-input --no-color --yes.

  • Pipeable — JSON on stdout, errors on stderr

  • Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:

    bash
    scientific-consensus-pp-cli authors get mock-value --agent --select id,name,status
  • Previewable — --dry-run shows the request without sending

  • Offline-friendly — sync/search commands can use the local SQLite store when available

  • Non-interactive — never prompts, every input is a flag

  • Read-only — do not use this CLI for create, update, delete, publish, comment, upvote, invite, order, send, or other mutating requests

Response envelope

Commands that read from the local store or the API wrap output in a provenance envelope:

json
{
  "meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
  "results": <data>
}

Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.

Long-running analysis commands (consensus, evidence, quality, reproducibility, watch, gaps, controversies, compare, batch, citations) print a self-rewriting progress line to stderr while processing works. This is suppressed automatically under --json, --agent, --compact, --csv, --quiet, --plain, --select, and any non-TTY stderr, so it never appears in piped or agent contexts.

Agent Feedback

When you (or the agent) notice something off about this CLI, record it:

scientific-consensus-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
scientific-consensus-pp-cli feedback --stdin < notes.txt
scientific-consensus-pp-cli feedback list --json --limit 10

Entries are stored locally at ~/.local/share/scientific-consensus-pp-cli/feedback.jsonl. They are never POSTed unless SCIENTIFIC_CONSENSUS_FEEDBACK_ENDPOINT is set AND either --send is passed or SCIENTIFIC_CONSENSUS_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.

Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.

Output Delivery

Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:

SinkEffect
stdoutDefault; write to stdout only
file:<path>Atomically write output to <path> (tmp + rename)
webhook:<url>POST the output body to the URL (application/json or application/x-ndjson when --compact)

Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.

Named Profiles

A profile is a saved set of flag values, reused across invocations. Use it when a scheduled agent calls the same command every run with the same configuration - HeyGen's "Beacon" pattern.

scientific-consensus-pp-cli profile save briefing --json
scientific-consensus-pp-cli --profile briefing authors get mock-value
scientific-consensus-pp-cli profile list --json
scientific-consensus-pp-cli profile show briefing
scientific-consensus-pp-cli profile delete briefing --yes

Explicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.

Exit Codes

CodeMeaning
0Success
2Usage error (wrong arguments)
3Resource not found
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show scientific-consensus-pp-cli --help output
  2. Starts with install → ends with mcp → MCP installation; otherwise → see Prerequisites above
  3. Anything else → Direct Use (execute as CLI command with --agent)

MCP Server Installation

  1. Install the MCP server:
    bash
    go install github.com/mvanhorn/printing-press-library/library/other/scientific-consensus/cmd/scientific-consensus-pp-mcp@latest
  2. Register with Claude Code:
    bash
    claude mcp add scientific-consensus-pp-mcp -- scientific-consensus-pp-mcp
  3. Verify: claude mcp list

Direct Use

  1. Check if installed: which scientific-consensus-pp-cli If not found, offer to install (see Prerequisites at the top of this skill).
  2. Match the user query to the best command from the Unique Capabilities and Command Reference above.
  3. Execute with the --agent flag:
    bash
    scientific-consensus-pp-cli <command> [subcommand] [args] --agent
  4. If ambiguous, drill into subcommand help: scientific-consensus-pp-cli <command> --help.

© mvanhorn, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in cli-skills/pp-scientific-consensus of mvanhorn/printing-press-library.

Open the folder on GitHubat commit d9a1696

Compare with similar skills

Pp Scientific Consensus 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.

Pp Scientific Consensus compared with similar skills
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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-search304—~1.4kAutomated safety check: PassMIT

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Works with

Questions about Pp Scientific Consensus

What does Pp Scientific Consensus do?

Aggregate PubMed, OpenAlex, Crossref, and Europe PMC into evidence summaries, consensus scores Trigger phrases: what does the evidence say about, scientific consensus on, is there consensus that…. Pp Scientific Consensus is an agent skill from mvanhorn/printing-press-library. Aggregate PubMed, OpenAlex, Crossref, and Europe PMC into evidence summaries, consensus scores Trigger phrases: what does the evidence say about, scientific consensus on, is there consensus that, evidence pyramid for, research gaps in, compare the evidence for, use scientific-consensus, run scientific-consensus.

When should I use Pp Scientific Consensus?

Pp Scientific Consensus fits situations like: phrases: what does the evidence say about; scientific consensus on; is there consensus that; evidence pyramid for.

How do I install Pp Scientific Consensus in Claude Code?

Run `npx skills add mvanhorn/printing-press-library --skill pp-scientific-consensus -a claude-code`. Or copy the skill folder (cli-skills/pp-scientific-consensus in mvanhorn/printing-press-library) into .claude/skills/pp-scientific-consensus in your project. Claude Code loads it when a task matches its description.

How do I install Pp Scientific Consensus in Codex?

Run `npx skills add mvanhorn/printing-press-library --skill pp-scientific-consensus -a codex`. Or copy the skill folder (cli-skills/pp-scientific-consensus in mvanhorn/printing-press-library) into .agents/skills/pp-scientific-consensus in your project. Codex loads it when a task matches its description.

Can I use Pp Scientific Consensus 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 mvanhorn/printing-press-library --skill pp-scientific-consensus -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pp-scientific-consensus, .gemini/skills/pp-scientific-consensus, .github/skills/pp-scientific-consensus and .opencode/skills/pp-scientific-consensus in your project.

What does Pp Scientific Consensus need to run?

Going by SKILL.md and its folder, Pp Scientific Consensus needs the command-line tools its instructions call (go, claude and npx) and credentials named NCBI_API_KEY, SEMANTIC_SCHOLAR_API_KEY, ANTHROPIC_API_KEY and OPENAI_API_KEY. Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Bash.

Does Pp Scientific Consensus access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Pp Scientific Consensus safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Pp Scientific Consensus use?

Pp Scientific Consensus is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pp Scientific Consensus use?

About 4.9k tokens (SKILL.md is roughly 20k 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 Pp Scientific Consensus?

Skills that share tags, products or a category with Pp Scientific Consensus: 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 Pp Scientific Consensus?

mvanhorn (a GitHub user) maintains it in mvanhorn/printing-press-library, which has 2,056 GitHub stars. The repository holds 506 skills in this directory. The repository was last updated on October 9, 2026.

Source: mvanhorn/printing-press-library on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.