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Get Started Free →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`.
.claude/skills/mvanhorn-pp-scientific-consensus/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 317% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 176% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 24% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 443% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 230% | 0% |
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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:
$HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:bash npx -y @mvanhorn/printing-press-library install scientific-consensus --cli-only
scientific-consensus-pp-cli --version$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:
bashgo 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.
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.
Do not use this CLI for:
These capabilities aren't available in any other tool for this API.
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
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
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
authors — Search and retrieve authors
scientific-consensus-pp-cli authors get — Get a single author by OpenAlex IDscientific-consensus-pp-cli authors search — Search authorsfunders — Research funders
scientific-consensus-pp-cli funders — Search fundersinstitutions — Search and retrieve institutions
scientific-consensus-pp-cli institutions get — Get a single institution by OpenAlex IDscientific-consensus-pp-cli institutions search — Search institutionssources — Journal (source) metadata
scientific-consensus-pp-cli sources get — Get a journal (source) by ISSN or OpenAlex IDscientific-consensus-pp-cli sources search — Search sources (journals)topics — Research topics
scientific-consensus-pp-cli topics — Search topicsworks — Search and retrieve scholarly works
scientific-consensus-pp-cli works get — Get a single work by OpenAlex ID, DOI, or PMIDscientific-consensus-pp-cli works search — Search scholarly worksconvert — DOI ↔ PMID identifier translation
scientific-consensus-pp-cli convert --doi <doi> — Look up the PMID (and title) for a DOIscientific-consensus-pp-cli convert --pmid <pmid> — Look up the DOI (and title) for a PMIDbatch — 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 analyzedcitations — Citation-network graph
scientific-consensus-pp-cli citations --doi <doi> — Build a citation graph from a DOI seedscientific-consensus-pp-cli citations --pmid <pmid> — Build a citation graph from a PMID seedscientific-consensus-pp-cli citations --id <W...> — Build a citation graph from an OpenAlex ID seedWhen you know what you want to do but not which command does it, ask the CLI directly:
bashscientific-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.
bashscientific-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.
bashscientific-consensus evidence "mediterranean diet cardiovascular" --csv
Study-design distribution from meta-analyses down to case reports.
bashscientific-consensus compare "intermittent fasting weight loss" "calorie counting weight loss" --agent
Side-by-side consensus and evidence strength for competing approaches.
bashscientific-consensus curate "crispr off-target effects" --format bibtex --limit 25
Ranked, cross-source, DOI-deduplicated reading list exported as BibTeX.
bashscientific-consensus watch "GLP-1 cardiovascular outcomes" --agent
Reports new publications since the last run from the local baseline.
bashscientific-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.
bashscientific-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.
bashscientific-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.
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.
Add --agent to any command. Expands to: --json --compact --no-input --no-color --yes.
--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
--dry-run shows the request without sendingCommands 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.
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 10Entries 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.
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:
| Sink | Effect | |------|--------| | stdout | Default; 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.
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 --yesExplicit 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.
| Code | Meaning | |------|---------| | 0 | Success | | 2 | Usage error (wrong arguments) | | 3 | Resource not found | | 5 | API error (upstream issue) | | 7 | Rate limited (wait and retry) | | 10 | Config error |
Parse $ARGUMENTS:
help, or --help → show scientific-consensus-pp-cli --help outputinstall → ends with mcp → MCP installation; otherwise → see Prerequisites above--agent)bash go install github.com/mvanhorn/printing-press-library/library/other/scientific-consensus/cmd/scientific-consensus-pp-mcp@latest
bash claude mcp add scientific-consensus-pp-mcp -- scientific-consensus-pp-mcp
claude mcp listwhich scientific-consensus-pp-cliIf not found, offer to install (see Prerequisites at the top of this skill).
--agent flag:bash scientific-consensus-pp-cli <command> [subcommand] [args] --agent
scientific-consensus-pp-cli <command> --help.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 4,211 | 67,001 | +1491% | 1 | 1 | 0% | 732 | 5,130 | +601% | 0 | 0 | — |
case-02 | fail→fail | 44,758 | 37,764 | -16% | 1 | 1 | 0% | 8,234 | 5,119 | -38% | 0 | 0 | — |
case-03 | fail→fail | 4,958 | 15,104 | +205% | 1 | 1 | 0% | 751 | 5,094 | +578% | 0 | 0 | — |
case-04 | pass→fail | 9,130 | 9,605 | +5% | 1 | 1 | 0% | 1,298 | 5,380 | +314% | 0 | 0 | — |
case-05 | pass→pass | 17,741 | 5,771 | -67% | 1 | 1 | 0% | 2,642 | 5,583 | +111% | 0 | 0 | — |
case-06 | pass→pass | 6,459 | 3,917 | -39% | 1 | 1 | 0% | 927 | 5,246 | +466% | 0 | 0 | — |
case-07 | fail→pass | 9,062 | 3,594 | -60% | 1 | 1 | 0% | 1,243 | 5,178 | +317% | 0 | 0 | — |
case-08 | fail→pass | 11,953 | 3,050 | -74% | 1 | 1 | 0% | 1,899 | 5,238 | +176% | 0 | 0 | — |
case-09 | fail→pass | 24,747 | 2,106 | -91% | 1 | 1 | 0% | 4,081 | 5,042 | +24% | 0 | 0 | — |
case-10 | fail→pass | 7,389 | 8,266 | +12% | 1 | 1 | 0% | 1,085 | 5,893 | +443% | 0 | 0 | — |
case-11 | fail→fail | 16,383 | 6,638 | -59% | 1 | 1 | 0% | 2,635 | 5,007 | +90% | 0 | 0 | — |
case-12 | pass→pass | 12,721 | 2,724 | -79% | 1 | 1 | 0% | 1,878 | 5,056 | +169% | 0 | 0 | — |
case-13 | fail→pass | 11,220 | 4,289 | -62% | 1 | 1 | 0% | 1,630 | 5,380 | +230% | 0 | 0 | — |
case-14 | fail→fail | 19,501 | 6,025 | -69% | 1 | 1 | 0% | 3,102 | 5,005 | +61% | 0 | 0 | — |
case-15 | fail→fail | 43,625 | 6,184 | -86% | 1 | 1 | 0% | 8,222 | 4,968 | -40% | 0 | 0 | — |
case-16 | fail→fail | 28,020 | 6,349 | -77% | 1 | 1 | 0% | 4,487 | 5,090 | +13% | 0 | 0 | — |
case-17 | fail→fail | 19,842 | 6,556 | -67% | 1 | 1 | 0% | 2,993 | 5,156 | +72% | 0 | 0 | — |
case-18 | fail→pass | 10,609 | 1,739 | -84% | 1 | 1 | 0% | 1,599 | 4,923 | +208% | 0 | 0 | — |
case-19 | fail→pass | 12,062 | 3,392 | -72% | 1 | 1 | 0% | 1,902 | 5,224 | +175% | 0 | 0 | — |
case-20 | fail→pass | 10,844 | 7,480 | -31% | 1 | 1 | 0% | 1,778 | 5,331 | +200% | 0 | 0 | — |
case-21 | pass→pass | 10,102 | 2,835 | -72% | 1 | 1 | 0% | 1,650 | 5,133 | +211% | 0 | 0 | — |
case-22 | fail→pass | 11,436 | 2,397 | -79% | 1 | 1 | 0% | 1,811 | 5,090 | +181% | 0 | 0 | — |
case-23 | fail→fail | 20,935 | 5,867 | -72% | 1 | 1 | 0% | 3,248 | 4,988 | +54% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 13 counted toward the lift figure. The other 10 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +35 percentage points is the difference between those two pass rates over the 13 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.