| name | polars-dovmed |
| description | Search PMC Open Access and bioRxiv corpora with polars-dovmed. Use when structured, reproducible literature queries should run through the hosted API or local parquet indexes. |
| user-invocable | true |
polars-dovmed
Search PubMed Central Open Access and bioRxiv parquet corpora with polars-dovmed.
Use the bundled helper, skills/polars-dovmed/scripts/query_literature.py, for hosted API or local parquet-backed searches. The helper auto-loads ~/.config/polars-dovmed/.env.
Run the helper with uv run --script so its pinned Parquet fallback dependency is available. Local runs record --corpus-revision (or DOVMED_CORPUS_REVISION) and fall back from flattened.csv to processed.parquet or the legacy prcoessed.parquet only when the compact output is absent.
Current hosted API defaults:
- Treat API keys as secrets in artifacts. Do not save keys in run directories, memory records, summaries, or final answers.
- Save generated run artifacts under
tasks/polars-dovmed-runs/<slug>/ by default, not under skills/polars-dovmed/.
- Prefer structured async search through
/api/jobs targeting scan_literature_advanced(mode="discovery").
- Do not use the flat
/api/search_literature endpoint for smoke tests or normal skill work. It is opt-in only with --allow-flat-query and may hang behind the edge proxy.
- Do not start with
--corpus both. Run --corpus biorxiv and --corpus pmc as separate calls, then merge results.
- For OpenPMC/PMC, do not run a broad unbanded scan. Use the materialized clean year bands in parallel with direct FTS-backed calls:
--sync --year-bands clean_split --year-band-workers 4.
- If the user names a specific publication year or narrow range, map it to the matching clean band(s) and search only those bands. Use all clean bands only when no year constraint is given.
- For recent or emerging taxa, run bioRxiv anchor-only discovery and OpenPMC clean-band discovery as separate searches. bioRxiv is small and often returns first; OpenPMC should still use parallel clean bands.
- For any entity-centric prompt with topic modifiers, such as "distribution and genomics of X", first search the exact entity/aliases only. Treat topic words as triage labels or a second-pass refinement after confirming anchor hits; do not build a large first-pass query of generic topic terms.
- Do not invent aliases by splitting compact taxon, gene, or clade names into common words unless the prompt or literature supports that synonym. Keep aliases evidence-based; when a real synonym is multi-word, keep it as one phrase in a single JSON term.
- For OpenPMC clean-band discovery, skip automatic details rerank: pass
--skip-details-rerank. The FTS index searches title, abstract, and full text, but PMC details lookups still read parquet and can dominate wall time. Fetch details only for selected PMCID values after discovery.
- Citation metadata should come from the corpus response/details endpoint first. If DOI/year/journal are missing, use bounded Crossref lookup through
--crossref-metadata or the crossref-lookup skill. Do not use generic web search for DOI repair except as a final publisher-page check for unresolved/ambiguous records.
- If OpenPMC clean-band search returns
Database not found, stop and report that the deployment is not exposing the indexed OpenPMC bands. Do not fall back to a monolithic unbanded OpenPMC scan.
- For interactive work, pass
--poll-timeout and, when available, wrap searches in timeout. Do not rerun OpenPMC with longer waits after one bounded clean-band failure.
Public access note:
omics-skills does not provide a hosted API key or the PMC/bioRxiv parquet corpora.
- Public users can prepare local PMC searches from Uri Neri's upstream package: https://github.com/UriNeri/polars-dovmed.
- Local setup uses upstream
dovmed download, dovmed build-parquet, and dovmed scan.
- If no API key and no local corpus exist, state that
polars-dovmed is not configured and use another literature fallback.
Instructions
- Route the task and decide execution mode.
- Use the hosted API when
POLARS_DOVMED_API_KEY is configured in the environment. Never pass the key in argv.
- Use local
dovmed scan when hosted access is unavailable and local parquet paths exist.
- Do not imply that this repo ships hosted access or local corpora.
- Create a dedicated run directory.
- Default:
tasks/polars-dovmed-runs/<date-topic>/.
- Save
prompt.txt, query.json, submitted payloads, raw responses, timing files, and any curated summary.
- Never save secrets.
- Author a structured query JSON directly.
- Start with exact anchor names and aliases.
- Add relation groups only when they improve precision.
- Use
disqualifying_terms for acronym collisions and wrong systems.
- For "hosts of X" or other recent-taxonomy prompts, first run an anchor-only query for X and aliases; use host terms during triage or a second pass.
- For "topic of X" prompts, such as environmental distribution, genomics, metabolism, or ecology of an entity, keep the first query anchor-only. Do not add broad words like distribution, genome, environment, host, or taxonomy as peer OR concepts.
- Inspect the query JSON before searching.
- Check spelling, taxonomy aliases, regex escaping, and noisy terms.
- Keep support terms soft in discovery; avoid generic anchors such as
host alone.
- Run discovery first.
- bioRxiv API path:
--queries-file ... --mode discovery --corpus biorxiv.
- OpenPMC API path:
--queries-file ... --mode discovery --corpus pmc --sync --year-bands clean_split --year-band-workers 4 --skip-details-rerank, unless the prompt has a year constraint that maps to fewer bands.
- Use
--extract-matches none --add-group-counts primary.
- Use bounded polling, for example
--poll-timeout 75 for bioRxiv and --poll-timeout 120 for OpenPMC clean bands.
- Keep
--details-rerank-limit modest, usually 8-12, and use it automatically only for bioRxiv or non-year-band searches. For OpenPMC, fetch details by PMCID after inspecting top hits.
- Inspect the first 5-10 hits.
- If results are noisy, refine
query.json and rerun.
- For citation-quality answers, first use PMCID/DOI details from polars-dovmed, then
--crossref-metadata or /crossref-lookup for missing DOI/year/journal. Use DOI landing pages or journal pages only when Crossref and corpus metadata disagree or remain ambiguous.
- Record timings when the user asks about speed.
- Capture wall time with shell
time -p or timeout ....
- Also report helper/API
elapsed_ms when present.
- Timeouts and failed endpoints are valid measured results; do not hide them.
Hosted API Reachability
Minimal reachability check:
curl -sS --max-time 20 https://api.newlineages.com/
Expected: service metadata from the root endpoint. This only proves the service is reachable, not that a corpus scan is healthy.
Structured smoke check:
RUN=tasks/polars-dovmed-runs/smoke-$(date +%Y%m%d)
mkdir -p "$RUN"
cp skills/polars-dovmed/fixtures/smoke_prompt.txt "$RUN/prompt.txt"
cp skills/polars-dovmed/fixtures/smoke_query.json "$RUN/query.json"
timeout 90s uv run --script skills/polars-dovmed/scripts/query_literature.py \
--queries-file "$RUN/query.json" \
--corpus biorxiv \
--mode discovery \
--max-results 3 \
--skip-details-rerank \
--poll-timeout 75 \
--save-payload "$RUN/payload_smoke.json" \
--save-response "$RUN/results_smoke.json" \
> "$RUN/summary_smoke.json" 2> "$RUN/time_smoke.txt"
If timeout is unavailable, still pass --poll-timeout and record that no outer wall-clock guard was available. Avoid /usr/bin/time; use shell time -p unless you have confirmed the path exists.
Known client pitfall: Cloudflare can reject Python urllib's default user agent with HTTP 403 and error code 1010. The helper sends a normal user agent. If raw urllib is unavoidable, send both X-API-Key and User-Agent.
Preferred Workflow
Step 1: Author Query JSON
Use compact concept groups:
{
"anchor_entity": [
["primary_name"],
["alias_1"],
["alias_2"]
],
"relation_or_property": [
["primary_name", "relation_term"],
["alias_1", "specific_relation_alias"]
],
"disqualifying_terms": [
["term_to_exclude"]
]
}
Group logic (enforced consistently on both the FTS fast path and the parquet
scan): terms inside one inner group are AND'd (all must co-occur); inner groups
within a concept are OR'd; concepts are OR'd, with ranking favoring items that
match more groups. A multi-word term is matched as an exact phrase. So list
synonyms/aliases as separate single-term groups (each ["alias"] on its own
line) — never pack them into one group, which would require them all to co-occur.
Use a multi-term group only to require co-occurrence (e.g. ["entity", "relation"]).
For recent taxa or sparse terms, begin with anchor-only JSON:
{"anchor_entity": [["Mirusviricota"], ["mirusvirus"], ["mirusviruses"]]}
Step 2: Search With Hosted API
Fast first pass for emerging taxa:
RUN=tasks/polars-dovmed-runs/mirusviricota-hosts-$(date +%Y%m%d)
mkdir -p "$RUN"
printf '%s\n' "papers describing hosts of Mirusviricota" > "$RUN/prompt.txt"
timeout 90s uv run --script skills/polars-dovmed/scripts/query_literature.py \
--queries-file "$RUN/query.json" \
--corpus biorxiv \
--mode discovery \
--extract-matches none \
--add-group-counts primary \
--max-results 25 \
--details-rerank-limit 12 \
--poll-timeout 75 \
--save-payload "$RUN/payload_biorxiv.json" \
--save-response "$RUN/results_biorxiv.json" \
> "$RUN/summary_biorxiv.json" 2> "$RUN/time_biorxiv.txt"
OpenPMC pass with parallel clean year bands:
timeout 120s uv run --script skills/polars-dovmed/scripts/query_literature.py \
--queries-file "$RUN/query.json" \
--corpus pmc \
--mode discovery \
--sync \
--year-bands clean_split \
--year-band-workers 4 \
--extract-matches none \
--add-group-counts primary \
--max-results 25 \
--skip-details-rerank \
--poll-timeout 120 \
--save-payload "$RUN/payload_pmc.json" \
--save-response "$RUN/results_pmc.json" \
> "$RUN/summary_pmc.json" 2> "$RUN/time_pmc.txt"
For citation metadata enrichment after a shortlist, prefer bounded Crossref
fallback over web search:
uv run --script skills/polars-dovmed/scripts/query_literature.py \
--details PMC6362216 PMC10132079 \
--corpus pmc \
--crossref-metadata \
--crossref-limit 10 \
--save-payload "$RUN/payload_details.json" \
--save-response "$RUN/results_details.json"
If the prompt gives a year constraint, map it before searching:
<=2009 -> pre_2010
2010-2020 -> 2010_2020
2021-2023 -> 2021_2023
>=2024 -> 2024_plus
For a range crossing bands, pass an explicit comma list to --year-bands, for example --year-bands 2021_2023,2024_plus. Use a single --year-band only when the whole requested range is inside one band.
Fetch details directly when you already know identifiers:
uv run --script skills/polars-dovmed/scripts/query_literature.py \
--details PMC6912108 PMC8490762 \
--corpus pmc \
--save-payload "$RUN/payload_details.json" \
--save-response "$RUN/results_details.json"
For bioRxiv details, pass DOI values with --corpus biorxiv.
Step 3: Search Locally With dovmed scan
Use local mode when hosted access is unavailable or explicitly unwanted.
uv run --script skills/polars-dovmed/scripts/query_literature.py \
--execution-mode local \
--corpus pmc \
--local-parquet-pattern "$DOVMED_PMC_PARQUET" \
--queries-file "$RUN/query.json" \
--save-payload "$RUN/payload_local.json" \
--save-response "$RUN/results_local.json"
Local corpus aliases:
--corpus pmc: set DOVMED_PMC_PARQUET or pass --local-parquet-pattern.
--corpus biorxiv: set DOVMED_BIORXIV_PARQUET or pass --local-parquet-pattern.
--corpus both: only with one compatible explicit parquet pattern; otherwise run separate scans.
Search Semantics
- Prefer structured JSON over ad hoc natural-language search strings.
- Build searches around anchor concepts first.
- List alternate names and spelling variants as separate single-term groups within a concept (groups are OR'd); keep a multi-word synonym as one phrase term. Multiple terms in one group are AND'd (all must co-occur) — now enforced on the FTS fast path too, so never pack synonyms into a single group.
- Treat support concepts as refiners, not anchors.
- For "X of Y" prompts, combine X and relation terms inside an OR-of-AND group only after an anchor-only discovery pass if recall is poor.
- Down-rank papers matching only generic support terms or full-text-only background mentions.
Ranking priority:
- exact anchor hit in title
- exact anchor hit in abstract
- anchor plus support co-occurrence in title or abstract
- multiple distinct relevant group matches
- full-text-only matches
Quick Reference
| Task | Action |
|---|
| Run directory | tasks/polars-dovmed-runs/<date-topic>/ |
| Preferred query | Authored query.json, inspected before search |
| Preferred hosted path | helper scan_literature_advanced(mode="discovery"); async except FTS-backed OpenPMC clean bands |
| Emerging taxon first pass | --corpus biorxiv, anchor-only query, bounded timeout |
| OpenPMC pass | separate --corpus pmc --sync --year-bands clean_split --year-band-workers 4 --skip-details-rerank call |
| Year-constrained OpenPMC | map requested years to one or more clean bands before searching |
| Avoid by default | flat /api/search_literature, --corpus both, unbanded broad OpenPMC |
| Details endpoint | `--details ... --corpus pmc |
| Missing DOI/year | --crossref-metadata or skills/crossref-lookup/scripts/lookup --title ... |
| Local fallback | --execution-mode local --local-parquet-pattern ... |
| Quick verification | uv run --no-project python skills/polars-dovmed/scripts/smoke_test.py --run-dir tasks/polars-dovmed-runs/smoke-test |
| Timing | shell time -p, helper elapsed_ms, and timeout status |
Input Requirements
- A literature search prompt or inspected structured
query.json.
- Hosted API key or local parquet files for the requested corpus.
- Writable run directory outside the skill source tree.
Output
prompt.txt, query.json, payload JSON, raw response JSON, timing files, and optional curated summary.
- Paper list with titles, identifiers, corpus, relevance notes, and timing.
- Warnings for timeout, 502, database-not-found, missing metadata, or fallback use.
Quality Gates
Examples
Mirusviricota Host Search
- Create
tasks/polars-dovmed-runs/mirusviricota-hosts-YYYYMMDD/query.json with:
{"anchor_entity": [["Mirusviricota"], ["mirusvirus"], ["mirusviruses"]], "disqualifying_terms": [["MIRU-VNTR"], ["mycobacterium"]]}
- Run the bioRxiv hosted command from Step 2.
- Inspect
results_biorxiv.json and any companion details response.
- Run the direct parallel OpenPMC clean-band command when PMC coverage is needed.
- Summarize direct host evidence separately from background mentions.
Local PMC Search
RUN=tasks/polars-dovmed-runs/klosneuvirinae-hosts
uv run --script skills/polars-dovmed/scripts/query_literature.py \
--execution-mode local \
--corpus pmc \
--local-parquet-pattern "$DOVMED_PMC_PARQUET" \
--queries-file "$RUN/query.json" \
--save-payload "$RUN/payload_local.json" \
--save-response "$RUN/results_local.json"
Troubleshooting
Issue: Flat /api/search_literature times out
Solution: Do not use it for smoke tests. Use the root endpoint plus structured helper smoke.
Issue: --corpus both returns 502
Solution: Run separate --corpus biorxiv and --corpus pmc calls and merge results manually.
Issue: OpenPMC --year-bands clean_split returns Database not found
Solution: Stop and report that the hosted deployment is not exposing the indexed OpenPMC bands. Do not retry as an unbanded full-corpus OpenPMC scan.
Issue: OpenPMC clean-band search times out
Solution: Report the measured timeout and keep the bioRxiv result. Do not retry the same OpenPMC query with a longer unbanded scan; narrow by user-specified year band or refine the anchor query.
Issue: A query about "topic of X" retrieves generic topic papers
Solution: Replace the first-pass query with exact entity aliases only. Use topic terms during manual triage or a focused second pass after confirming anchor hits.
Issue: DOI, year, or journal metadata is missing
Solution: Fetch details by PMCID/DOI first. If still incomplete, use --crossref-metadata or the crossref-lookup skill. Avoid generic web search unless both corpus metadata and Crossref are unresolved or conflicting.
Issue: /usr/bin/time is missing
Solution: Use shell time -p or record start/end timestamps; do not assume /usr/bin/time exists.
Issue: Artifacts were written under skills/polars-dovmed/runs/
Solution: Move future run artifacts to tasks/polars-dovmed-runs/ and do not commit generated run outputs.
Issue: Hosted API key is missing and local parquet files are missing
Solution: State that polars-dovmed is not configured. Use another literature-search skill or ask the user to provide hosted access or local corpora.