pathogen-variant-surveillance
Queries public GenSpectrum LAPIS data for pathogen genomic surveillance, current lineage nomenclature, weekly sequence proportions, reporting delays, and…
Skill by K-Dense-AI
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/k-dense-ai-pathogen-variant-surveillance
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data, marketing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/pathogen-variant-surveillance
Tools it pre-approves 4
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
ReadWriteEditBash
What's inside
- Skill name
pathogen-variant-surveillance- Description
- Queries public GenSpectrum LAPIS data for pathogen genomic surveillance, current lineage nomenclature, weekly sequence proportions, reporting delays, and descriptive mutation frequencies. Use for variant surveillance, Pango lineage validation, dominant submitted lineages, Nextclade assignment provenance, SARS-CoV-2, influenza/H5N1 clades, RSV, mpox, measles, dengue, or LAPIS queries. Distinguishes sequence prevalence from infection prevalence, clades from genotypes, missing calls from reference matches, and sampling changes from biological growth advantage.
- License
- MIT
- Compatibility
- Requires Python 3.11+. Scripts use only the standard library. Needs network access to public LAPIS deployments on lapis.cov-spectrum.org, lapis.genspectrum.org, lapis.pathoplexus.org and raw.githubusercontent.com for pango-designation. No credentials for these public queries.
- Allowed tools
- Read, Write, Edit, Bash
- Metadata
- version: 1.3 · skill-author: K-Dense Inc. · last-reviewed: 2026-10-01
- Instructions
- 173 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Pre-approves any shell command
Files (9)
- SKILL.md
- lapis-api.md · references/
- lineage-nomenclature.md · references/
- surveillance-caveats.md · references/
- lapis_client.py · scripts/
- lineage_prevalence.py · scripts/
- mutation_profile.py · scripts/
- reporting_lag.py · scripts/
- resolve_lineage.py · scripts/
SKILL.md (first lines)
# Pathogen Variant Surveillance ## When to use Use current data when a question depends on which lineages appear in submitted sequences, what a lineage name currently means, or how the submitted sequence distribution changed. Never answer a current circulation question from remembered lineage names or old examples. This skill supports descriptive surveillance research. Counts describe sequences submitted to one database under stated filters; they are not case counts, infection prevalence, clinical interpretations, outbreak recommendations, or evidence of enhanced pathogen function. ## Verified scope Reviewed on 2026-10-01 against official documentation, live schemas for all 15 registered instances, and small public queries. SARS-CoV-2 served LAPIS 0.8.7/SILO 0.14.3; the other registered deployments served LAPIS 0.8.0/SILO 0.11.0. Do not assume identical feature support. Bundled standard-library scripts have synthetic regression tests and bounded live smoke checks. Nextclade, GenoFLU, authenticated APIs, and sequence-level assay validation are not executed here. | Instance | Host | Common lineage field | | --- | --- | --- | | `sars-cov-2` | lapis.cov-spectrum.org/open/v2 | `pangoLineage` (indexed) | | `h5n1` | lapis.genspectrum.org/h5n1 | `clade` (unindexed) | | `h3n2`, `h1n1pdm` | lapis.genspectrum.org/<name> | `cladeHA` / `cladeNA` (unindexed) | | `influenza-a` | lapis.genspectrum.org/influenza-a | `subtypeHA` / `subtypeNA` | | `rsv-a`, `rsv-b`, `mpox`, `measles`, `dengue`, `west-nile`, `hmpv`, `ebola-zaire`, `ebola-sudan`, `cchf` | lapis.pathoplexus.org/<name> | inspect the schema | The scripts read `/sample/databaseConfig`. A lineage-index value is currently an identifier string, not necessarily a boolean. Only indexed fields support descendant `NAME*` queries. Use `--lineage-field` deliberately when several naming systems coexist. Unknown unindexed values can return zero; that does not verify the name or prove biological absence. When available, defaults select `versionStatus=LATEST_VERSION`, `isRevocation=false`, and `dataUseTerms=OPEN`. These are printed with the result and can be overridden explicitly with `--where`. Open access to an endpoint is not a blanket data-use license; preserve source attribution and the applicable [Pathoplexus terms](https://pathoplexus.org/about/terms-of-use). ## Workflow ```bash cd skills/pathogen-variant-surveillance/scripts ``` 1. Inspect the instance and choose collection date, lineage system, geography, host and data inclusion rules. Country fields differ: SARS-CoV-2/GenSpectrum use `country`; Pathoplexus uses `geoLocCountry`. Inspect actual categories before choosing a value. 2. Review reporting delays before choosing the prevalence window. 3. Discover common labels in that window, then verify names in the relevant nomenclature. 4. Report counts, denominators, intervals, snapshot version, dates and exclusions together. ### Describe observed reporting delay ```bash python3 reporting_lag.py --where country=USA --cohorts 6 --skip-months 3 ``` This groups by **both collection and submission/release dates**, calculates each date difference, and reports `mean_observed`, `min_observed`, `max_observed` and contributing cohort count. It excludes missing dates, unequal collection-date range bounds, negative lags and submissions after `--until`. Long offsets use only cohorts old enough to contribute that follow-up. The result is a CDF conditional on records visible now. It cannot establish eventual completeness, a trustworthy date, or when a record first appeared in LAPIS. `--until` sets an analysis anchor; it does not retrieve an earlier database snapshot. Cohorts receive equal weight, not weight proportional to sequence count. The contributing cohort set can vary by offset. ### Discover and describe weekly proportions ```bash python3 lineage_prevalence.py --top 5 --where country=USA --weeks 12 ``` Discovery ranks exact nonempty labels; `unassigned` remains a real category. The denominator includes all selected records, including unassigned/null lineage calls. Overlapping descendant queries must not be summed. Explicit lineage examples below illustrate syntax, not current dominance: ```bash python3 lineage_prevalence.py "XFG*" --where country=USA --weeks 16 --growth --lag-days 90 ``` Here `90` is an illustrative user-selected exclusion horizon, not a universal measured lag. The window expands to whole ISO weeks and the output states the expanded dates. Weeks ending within `--lag-days` of today, the current partial week, zero-count weeks, and weeks below the chosen older-half count threshold are flagged `low`. Other weeks are not certified complete. Growth fits exclude flagged weeks unless `--include-incomplete` is explicit. For collection fields ending `RangeLower`, weekly and lag analyses require the corresponding `RangeUpper` and exclude unequal bounds. The exclusion count covers returned records; date range filters can already exclude null dates, so it is not a database-wide missing-date count. Upstream imputation or inaccurate metadata cannot be detected from declared date types alone. Proportions use Wilson intervals for binomial sampling uncertainty only. `--growth` fits a weighted descriptive log-odds slope, with at least five observed sequences in three nonempty weeks and dispersion floored at one. It is not transmissibility, fitness or a forecast. ### Verify current names ```bash python3 resolve_lineage.py XFG PQ.17 PC.2 NOTALINEAGE --no-counts ``` Names here are input examples, not current claims. The resolver fetches Pango notes and alias maps, reports withdrawals/redesignations, expands aliases, and reports indexed descendants. Recombinant parentage comes from Pango alias lists; a LAPIS descendant tree need not encode it. Only Pango inputs are case-normalized; other nomenclatures retain their original case. Exit code 1 means at least one name is withdrawn, unknown, unverified, or its requested count failed. Exit code 2 means a required source/query failed. An unindexed field without a naming authority remains `unverified` even if sequences carry that label. Do not use a successful count to claim an authoritative designation. ### Describe site-wise mutation frequencies ```bash python3 mutation_profile.py "XFG*" --gene S --since 2026-01-01 python3 mutation_profile.py "XFG*" --versus "XFJ*" --gene S --since 2026-01-01 ```
From K-Dense-AI/scientific-agent-skills, MIT.
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Signals
- Stars
- 54,411
- Forks
- 4,797
- Open issues
- 8
- Last commit (this folder)
- Oct 1, 2026 (1 month ago)
- Last release
- Oct 1, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.3
- License
- MIT
- Website
- arxiv.org/abs/2609.00065
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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pathogen-variant-surveillance skill. Agent Mart. https://agentmart.dev/skills/k-dense-ai-pathogen-variant-surveillance (last updated 2026-10-24)