Agent skill

Bio Epidemiological Genomics Amr Surveillance

by GPTomics in GPTomics/bioSkills

Detects acquired antimicrobial-resistance determinants and chromosomal point-mutation resistance in bacterial assemblies using AMRFinderPlus, ResFinder 4.0 (acquired + PointFinder), CARD-RGI…

MITAuto-check passedResearch & Science

Install Bio Epidemiological Genomics Amr Surveillance

skills CLI
$ npx skills add GPTomics/bioSkills --skill bio-epidemiological-genomics-amr-surveillance -a claude-code

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

GitHub CLI
$ gh skill install GPTomics/bioSkills bio-epidemiological-genomics-amr-surveillance --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/GPTomics/bioSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/epidemiological-genomics/amr-surveillance .claude/skills/bio-epidemiological-genomics-amr-surveillance && 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
bio-epidemiological-genomics-amr-surveillance
GitHub stars
1.2k
Used in
1 other repo
Token cost
~7.6k tokens
SKILL.md length
3,275 words
Files
3
Skills in repo
559
Repo updated
First seen
Licence
MIT

At a glance

Detects acquired antimicrobial-resistance determinants and chromosomal point-mutation resistance in bacterial assemblies using AMRFinderPlus, ResFinder 4.0 (acquired + PointFinder), CARD-RGI…

  • Screening clinical
  • SKILL.md covers Version Compatibility, The Single Most Important…, Algorithmic Taxonomy and Decision Tree by Scenario, plus 11 more sections
  • Runs Python scripts from its folder; calls pip
  • Surveillance isolates for AMR

What it does

Bio Epidemiological Genomics Amr Surveillance is an agent skill from GPTomics/bioSkills. Detects acquired antimicrobial-resistance determinants and chromosomal point-mutation resistance in bacterial assemblies using AMRFinderPlus, ResFinder 4.0 (acquired + PointFinder), CARD-RGI, abritAMR, staramr, and species-specific callers (TB-Profiler, Mykrobe). Harmonises cross-tool output via hAMRonization, contextualises determinants with mobile-genetic-element annotation (MOB-suite, PlasmidFinder, MobileElementFinder, ICEberg), predicts phenotype against EUCAST or CLSI breakpoints, and translates calls into…

Its SKILL.md is about 7.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `examples/amr_surveillance.py` and `usage-guide.md`).

It sits in Research & Science, covering Bioinformatics, Performance optimization and Responsive design. The repository describes itself as: a set of SKILLS.md for doing bioinformatics with agents like claude code. The licence is MIT.

When your agent uses it

  • Screening clinical
  • Surveillance isolates for AMR
  • Distinguishing acquired vs intrinsic vs point-mutation resistance
  • Calling rpoB / katG / pncA / gyrA / mgrB mutations

Example prompts

  • “Use the bio-epidemiological-genomics-amr-surveillance skill to detect acquired antimicrobial-resistance determinants and chromosomal point-mutation…”
  • “/bio-epidemiological-genomics-amr-surveillance”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit d91ed3d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • pip

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

  • Network

    No URLs in SKILL.md. Its commands use pip, 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 no API keys, tokens, secrets or passwords.

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

Context cost

Bio Epidemiological Genomics Amr Surveillance loads about 7.6k tokens when it runs. Until then it costs about 260 tokens; SKILL.md has 3,275 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~260
When it runs · the whole SKILL.md, loaded when a task matches
~7.6k

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 passed

The automated check found no risky patterns in SKILL.md.

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 GPTomics/bioSkills at commit d91ed3d, republished under its MIT licence (© GPTomics). 3,275 words, ~7,607 tokens.

Download SKILL.mdSave it as .claude/skills/bio-epidemiological-genomics-amr-surveillance/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
bio-epidemiological-genomics-amr-surveillance
description
Detects acquired antimicrobial-resistance determinants and chromosomal point-mutation resistance in bacterial assemblies using AMRFinderPlus, ResFinder 4.0 (acquired + PointFinder), CARD-RGI, abritAMR, staramr, and species-specific callers (TB-Profiler, Mykrobe). Harmonises cross-tool output via hAMRonization, contextualises determinants with mobile-genetic-element annotation (MOB-suite, PlasmidFinder, MobileElementFinder, ICEberg), predicts phenotype against EUCAST or CLSI breakpoints, and translates calls into WHO GLASS reporting categories. Use when screening clinical or surveillance isolates for AMR, distinguishing acquired vs intrinsic vs point-mutation resistance, calling rpoB / katG / pncA / gyrA / mgrB mutations, reconciling AMRFinderPlus vs RGI vs ResFinder disagreement, contextualising carbapenemases or mcr alleles on plasmids, predicting susceptibility from genotype against the WHO Mtb 2nd-edition catalogue, or building a hAMRonized multi-lab AMR surveillance pipeline.
tool_type
mixed
primary_tool
AMRFinderPlus

Version Compatibility

Reference examples tested with: ncbi-amrfinderplus 4.0+, resfinder 4.5+, rgi 6.0+ (CARD 3.3+), abritamr 1.0.14+, staramr 0.10+, hamronization 1.1+, tb-profiler 6.2+, mykrobe 0.13+, mob_suite 3.1+, plasmidfinder 2.1+, MobileElementFinder 1.0+, pandas 2.2+, BioPython 1.84+.

Before using code patterns, verify installed versions match. If versions differ:

  • Python: pip show <package> then help(module.function) to check signatures
  • CLI: <tool> --version then <tool> --help to confirm flags
  • AMRFinderPlus: amrfinder --list_organisms for the current --organism catalogue
  • WHO Mtb catalogue: tb-profiler list_db and verify the bundled WHO edition
  • AMR database freshness: amrfinder -u (NCBI ReferenceGeneCatalog) and tb-profiler update_tbdb

If a flag or column name does not match (--species vs --organism, barcode_build vs barcode-build), introspect the installed package rather than retrying. AMRFinderPlus, RGI, and ResFinder all renamed columns between major releases.

AMR Surveillance

"What antibiotic-resistance determinants are in this assembly, and what susceptibility do they imply?" -> Combine acquired-gene detection, chromosomal point-mutation calling, mobile-element context, and curated phenotype mapping into a single per-isolate report fit for surveillance or clinical handover. Tool choice is determined by species (Mtb needs TB-Profiler, not AMRFinderPlus), reporting standard (WHO GLASS vs CARD vs in-house), and whether mobility matters (carbapenemase outbreak: yes; routine ESBL screen: less so).

  • CLI: amrfinder -n assembly.fa --organism Klebsiella_pneumoniae --plus -- acquired + intrinsic-aware point mutations
  • CLI: tb-profiler profile -1 r1.fq.gz -2 r2.fq.gz -p sample -- TB drug-resistance against WHO 2nd-edition catalogue
  • CLI: hamronize amrfinderplus --analysis_software_version 4.0.3 --reference_database_version 2025-02-01.1 in.tsv > out.tsv -- normalise output across tools
  • Python: pandas to join AMRFinderPlus + RGI + ResFinder + MOB-suite per-isolate for a single decision table

The Single Most Important Modern Insight -- Acquired AMR detection is not species-agnostic

A pan-species AMRFinderPlus run misses chromosomal point-mutation resistance because the point-mutation panels are species-specific and activated only when --organism is set. Running amrfinder -n mtb.fa without --organism returns "no AMR detected" on an XDR-TB genome because AMRFinderPlus has no Mtb organism mode -- the user must switch tools (TB-Profiler or Mykrobe + WHO 2nd-edition catalogue). Similarly, Salmonella gyrA T83I, Klebsiella mgrB inactivation, and E. coli QRDR mutations are silent without --organism Salmonella / Klebsiella_pneumoniae / Escherichia. For any cross-tool surveillance pipeline, AMRFinderPlus with --organism MUST be paired with a species-specific second tool (TB-Profiler for Mtb; ResFinder 4.0 with -s 'species' for PointFinder coverage; hAMRonization to merge). Andersson et al. Nat Rev Microbiol 17:479 (2019) further notes that heteroresistance at 0.1-1% allele frequency is widespread and invisible to default variant callers, compounding the failure mode for any single-tool workflow.

Algorithmic Taxonomy

ToolMechanismInputsOutputStrengthFails when
AMRFinderPlus (Feldgarden 2021 Sci Rep 11:12728)Curated HMM + BLAST against NCBI ReferenceGeneCatalog; per-gene cutoffsassembly or proteingene + class + element-typeGene-family-aware (catches divergent variants); built-in species point-mutation panelsNo Mtb mode; reports intrinsic genes unless --organism set
ResFinder 4.0 (Bortolaia 2020 J Antimicrob Chemother 75:3491)BLAST against ResFinder DB (acquired) + PointFinder DB (chromosomal mutations) per speciesassembly or readsgene + predicted phenotype (S/I/R)Phenotype prediction tied to CLSI/EUCASTRequires explicit -s 'species' for PointFinder; default 90/60 cutoffs hide divergent variants
CARD-RGI (Alcock 2023 NAR 51:D690)BLAST + HMM against CARD; tiers Perfect / Strict / Looseassembly or proteinARO ontology term, model-type (homolog / variant / overexpression / knockout / rRNA)Mechanism-resolved (operons modelled); ARO ontology is curatedLoose tier produces many false positives; default Strict+Perfect misses real variants in non-model organisms
abritAMR (Sherry 2023 Nat Commun 14:60)AMRFinderPlus wrapper + drug-class classifier; ISO-certified for clinical useassemblygene + drug classFirst ISO-certified AMR pipeline; accredited reporting categoriesLimited to AMRFinderPlus's underlying gene panel
staramrResFinder + PointFinder + PlasmidFinder + MLST in one pipelineassemblycombined reportOne-shot Salmonella / E. coli / Campylobacter surveillanceDefault organism handling can hide point mutations; verify each component version
TB-Profiler (Phelan 2019 Genome Med 11:41)Maps reads or assembly against H37Rv + WHO catalogue + Coll/Napier lineage barcodereads or assemblyper-drug R/R-interim/Uncertain/S + lineageWHO 2nd-edition catalogue integration; lineage call; heteroresistance from allele frequencyHardcoded to MTBC; older bundled DB may predate current WHO edition
Mykrobe (Hunt 2019 Wellcome Open Res 4:191)k-mer presence/absence against curated panelreadsspecies + AMR per drugk-mer-fast; cross-checks TB-Profiler; supports Mtb, S. aureus, Salmonella, gonorrhoeaPanel may lag WHO catalogue; check --panel
hAMRonization (PHA4GE)Format converter to PHA4GE schemaper-tool TSVunified TSV/JSONCross-tool comparison; surveillance harmonisationMandatory metadata fields differ per tool subparser

Decision Tree by Scenario

ScenarioRecommendedWhy wrong choices fail
Routine screen of an E. coli / Klebsiella / Salmonella assembly for acquired AMR + point mutationsAMRFinderPlus with --organism Escherichia / Klebsiella_pneumoniae / Salmonella + --plusWithout --organism: no PointFinder panel, fluoroquinolone QRDR mutations missed; intrinsic-gene noise in Klebsiella
M. tuberculosis drug-resistance predictionTB-Profiler interpreted via WHO 2nd-edition catalogue, Mykrobe as cross-check on R/XDR isolatesAMRFinderPlus has no Mtb organism mode; ResFinder PointFinder lacks the full WHO catalogue; tool defaults silently call Group 3 mutations as "susceptible"
Predict S/I/R phenotype, not gene presenceResFinder 4.0 OR abritAMR; document EUCAST or CLSI breakpoint yearAMRFinderPlus reports presence only; mapping presence -> phenotype needs curated rules
Carbapenemase outbreak: is the gene mobile?AMRFinderPlus -> MOB-suite (mob_recon + mob_typer) -> cross-reference; long-read or hybrid assembly recommendedPlasmidFinder alone gives replicon type but not gene-plasmid linkage; short-read draft assemblies fragment plasmid contigs and lose context
Cross-laboratory surveillance reportingPass per-tool output through hAMRonization to PHA4GE schema; populate analysis_software_version and reference_database_versionRaw cross-tool comparison is meaningless (CARD ARO vs ResFinder name vs NCBI ReferenceGeneCatalog)
Novel-variant surveillance (emergence)AMRFinderPlus (HMM, gene-family-aware) OR CARD-RGI with Loose-tier manual reviewabricate's 80/80 defaults reject divergent family members; pure-BLAST defaults silently miss novel mcr / OXA sub-variants
Quantitative AMR from metagenomic readsAMRPlusPlus / DeepARG / ARGs-OAP normalised to 16S; report "ARG abundance" NOT "resistance"Assembly-based tools fail on short reads; reporting environmental ARG counts as "resistance" inherits the environmental-resistome critique that homolog presence is not phenotypic resistance
Colistin resistance in Klebsiella / Enterobacter / Salmonellamcr-1 to mcr-10 acquired (AMRFinderPlus; mcr-1 originally Liu 2016 Lancet Infect Dis 16:161) + mgrB / pmrAB / phoPQ point mutations (--organism Klebsiella_pneumoniae) + phenotypic confirmation for mcr-9/10mcr-9 / mcr-10 frequently report without elevated MIC; treating mcr presence as "colistin-R" triggers infection control unnecessarily
WHO GLASS submissionhAMRonization -> drug-class mapping -> EUCAST/CLSI breakpoint interpretation; record breakpoint yearGene-level reporting without class mapping cannot populate GLASS categories

Methodology evolves rapidly; before a high-stakes outbreak report, web-search "AMRFinderPlus organism modes 2026" and confirm the WHO Mtb catalogue edition currently bundled in TB-Profiler.

AMRFinderPlus With Species Mode

Goal: Produce a per-isolate AMR report including acquired genes, species-specific chromosomal point mutations, stress/virulence elements, and per-hit method and coverage metadata for downstream harmonisation.

Approach: Run amrfinder with -n for nucleotide assembly, --organism to activate the species-specific point-mutation panel, --plus to include stress / virulence / heat / metal, and --report_all when truncated-gene visibility matters. Pin the database via amrfinder -u -> verify --db matches a recorded date.

bash
DB=$(amrfinder -V | grep -i database | awk '{print $NF}')

amrfinder \
    -n assembly.fa \
    --organism Klebsiella_pneumoniae \
    --plus \
    --threads 8 \
    -o sample.amrfinder.tsv

echo "DB version: ${DB}" >> sample.amrfinder.tsv

Column semantics worth inspecting: Element type (AMR / POINT / VIRULENCE / STRESS / etc.), Method (EXACTX / PARTIAL_CONTIG_END / HMM / etc. -- partial-contig hits flag assembly fragmentation), % Coverage of reference sequence, % Identity to reference sequence, Class / Subclass (drug-class summary). Method = PARTIAL_CONTIG_END is the smoking gun for plasmid-context fragmentation -- consider long-read confirmation.

TB-Specific Workflow

Goal: Generate a WHO-catalogue-aligned drug-resistance report for M. tuberculosis covering all 13 first-line + second-line + new/repurposed drugs, with lineage assignment via the Coll/Napier MTBC barcode (90-SNP version) and explicit handling of Group 3 (Uncertain) mutations.

Approach: TB-Profiler primary (it bundles the WHO catalogue and reports the Walker 2022 / 2023 association grouping); Mykrobe as an orthogonal cross-check on any R / XDR call that will drive treatment. NEVER collapse Group 3 mutations to "susceptible" -- the WHO catalogue's tiered scoring is load-bearing for clinical handover.

bash
tb-profiler update_tbdb

tb-profiler profile \
    -1 reads_R1.fq.gz \
    -2 reads_R2.fq.gz \
    -p sample \
    --txt --csv --pdf \
    --dir tbprofiler_out

mykrobe predict \
    --sample sample \
    --species tb \
    --output sample.mykrobe.json \
    --format json \
    reads_R1.fq.gz reads_R2.fq.gz

Allix-Béguec et al. (CRyPTIC) NEJM 379:1403 (2018) established >99% negative predictive value for first-line drugs and is the basis for WGS-only DST policies; the same study showed sensitivity remains lower for bedaquiline, delamanid, linezolid, and clofazimine, so phenotypic DST is still required for second-line and new/repurposed agents in MDR/XDR-TB workups. The WHO 2023 catalogue (Walker et al. Lancet Microbe 3:e265, 2022 for the 2021 edition methodology; 2023 second edition data) grades each mutation Group 1 / Group 2 (Associated -- interim) / Group 3 (Uncertain) / Group 4 (Not Associated -- interim) / Group 5 (Not Associated). Reporting Group 3 as "S" actively misleads clinicians.

hAMRonization for Cross-Tool Reporting

Goal: Convert per-tool AMR output (AMRFinderPlus, ResFinder, RGI, abricate, staramr, ARIBA, TB-Profiler, Mykrobe) to the PHA4GE schema so a multi-laboratory or multi-tool surveillance dataset is comparable.

Approach: Invoke hamronize <tool> per input with mandatory provenance metadata (--analysis_software_version, --reference_database_version, --input_file_name), then hamronize summarize to merge.

bash
hamronize amrfinderplus \
    --analysis_software_version 4.0.3 \
    --reference_database_version 2025-02-01.1 \
    --input_file_name sample.amrfinder.tsv \
    sample.amrfinder.tsv > sample.hamr.tsv

hamronize resfinder \
    --analysis_software_version 4.5.0 \
    --reference_database_version 2024-12-15 \
    --input_file_name sample.resfinder.json \
    sample.resfinder.json > sample.resfinder.hamr.tsv

hamronize summarize -t tsv -o cohort.hamr.tsv per_sample_hamr/*.tsv

Default reporting ontology for public-health output is NCBI ReferenceGeneCatalog. Two consequences: (1) CARD ARO terms need translation; (2) any custom gene additions need a corresponding NCBI accession before they appear in the harmonised stream.

Mobile-Genetic-Element Context

Goal: Determine whether a clinically actionable AMR gene (carbapenemase, mcr, ESBL) sits on a chromosome, a plasmid (and which incompatibility group / cluster), an integrative-conjugative element, or a transposon -- because "gene present" tells the infection-control team nothing about transmissibility.

Approach: Reconstruct plasmids from the assembly with MOB-suite mob_recon; type each plasmid with mob_typer; cross-reference AMR-gene coordinates against the plasmid contig list; annotate IS elements / integrons with MobileElementFinder. For surveillance-grade plasmid resolution, prefer long-read (R10.4.1 Q20+) or hybrid assemblies -- short-read draft assemblies routinely fragment plasmid contigs.

bash
mob_recon \
    --infile assembly.fa \
    --outdir mob_out/ \
    --num_threads 4

mob_typer \
    --infile mob_out/plasmid_AA001.fasta \
    --out_file mob_out/plasmid_AA001.typed.tsv

mefinder find \
    --contig assembly.fa \
    --out mef_out/sample \
    --threads 4

Document MOB-suite version explicitly: v2 and v3 cluster codes are non-interoperable, and v3.1+ adds MGE reporting. Across longitudinal surveillance crossing the v2 -> v3 boundary, the same plasmid receives different cluster IDs and appears spuriously "novel".

Per-Method Failure Modes

AMRFinderPlus run pan-species on a Mycobacterium tuberculosis assembly

Trigger: amrfinder -n mtb.fa without --organism; AMRFinderPlus has no Mtb organism mode in any v4.x release.

Mechanism: The species-specific point-mutation panels are activated only when a recognised --organism is passed. Mtb resistance is overwhelmingly chromosomal point mutation (rpoB / katG / inhA / pncA / embB / gyrA / rrs). With no panel active, none of these are called.

Symptom: Empty AMR table on a phenotypically MDR/XDR isolate; lineage barcode not reported (AMRFinderPlus does not call MTBC lineage).

Fix: Switch tools. Use TB-Profiler (preferred -- bundles WHO catalogue + Coll/Napier barcode) or Mykrobe; the AMRFinderPlus catalogue does not cover MTBC.

OXA-48-like family collapsed to a single bucket

Trigger: Default per-isolate summarisers report the gene family (bla_OXA-48-like) rather than the allele (bla_OXA-244).

Mechanism: OXA-48 (potent carbapenemase), OXA-181 (Thr213Ala -- similar activity, different plasmid), OXA-232 (Arg214Ser -- reduced carbapenemase activity), and OXA-244 (Arg214Gly -- weakest, often phenotypically susceptible to ertapenem) share >95% identity. Pipelines that report family-level summary erase the clinically actionable variant identity.

Symptom: Surveillance report says "OXA-48-like detected", phenotype is borderline ertapenem-susceptible / meropenem-susceptible, clinical team is confused about whether ceftazidime-avibactam is needed.

Fix: Report the allele explicitly; never collapse to family. AMRFinderPlus reports the allele in Gene symbol -- preserve it through hAMRonization rather than summarising.

IS-element-mediated derepression invisible to gene-presence pipelines

Trigger: Phenotypic high-level AmpC hyperproduction in Enterobacter cloacae complex / Citrobacter freundii; or KPC over-expression on Tn4401b (100-bp promoter deletion).

Mechanism: Resistance is mediated by ISEcp1 / IS26 / IS10 insertion upstream of the ampC promoter producing a strong hybrid promoter, or by Tn4401 variant. Gene presence is unchanged. Short-read assemblies fragment IS elements and collapse repeats; promoter context is lost. AMRFinderPlus / RGI / ResFinder report the gene; the regulatory configuration is not annotated.

Symptom: AMR pipeline output identical for wild-type ampC carrier and the hyperproducer; clinical phenotype is divergent.

Fix: Long-read (Nanopore R10.4.1 Q20+ or PacBio HiFi) or hybrid assembly with explicit promoter-context inspection. For Tn4401 variant typing, manual blast of the transposon region. Tools that automate this are emerging but not yet a default in surveillance pipelines.

Heteroresistance below default variant-caller thresholds

Trigger: Routine Illumina WGS-AMR pipeline on a clinical isolate; resistance variant appears at 1-5% allele frequency.

Mechanism: Heteroresistance -- clonal subpopulations carrying resistance at 0.1-1% (Andersson, Nicoloff, Hjort Nat Rev Microbiol 17:479, 2019) -- is widespread and clinically meaningful (treatment failure under antibiotic pressure). Default variant callers (bcftools, lofreq default -q 20, GATK HaplotypeCaller) require minor-allele frequency of typically 10-20% to call. Assembly-based pipelines (AMRFinderPlus on assembly) collapse minor variants entirely.

Symptom: Surveillance pipeline calls "S" but clinical failure under therapy; subsequent sampling reveals high-level resistance.

Fix: For clinically critical drugs, supplement assembly-based AMR with deep-read variant calling at lower MAF thresholds (lofreq with -q 13 -a 0.01), or use targeted deep-amplicon sequencing. TB-Profiler reports allele frequency for resistance calls -- inspect for heteroresistance routinely.

Show full SKILL.md (1,302 more words)Show less
WHO Mtb Group 3 mutations silently called "susceptible"

Trigger: TB-Profiler / Mykrobe run on an Mtb isolate carrying a mutation graded Group 3 (Uncertain) in the WHO catalogue.

Mechanism: Tools translate Group 3 calls to "no resistance prediction" in their summary; downstream summarisers and clinical handover forms collapse "no prediction" to "S". The Walker 2022 Lancet Microbe catalogue methodology explicitly separates Group 3 (Uncertain) from Group 4/5 (Not Associated) for exactly this reason.

Symptom: Patient treated as drug-susceptible; clinical failure; retrospective inspection finds Group 3 mutation that should have triggered phenotypic DST.

Fix: Read TB-Profiler JSON output, NOT the simplified TSV. Report Group 3 mutations explicitly with "uncertain significance -- phenotypic DST recommended". This is widely under-communicated in surveillance pipelines.

fosA / efflux-regulator hits overcalled as resistance

Trigger: Chromosomal fosA in Klebsiella pneumoniae / Enterobacter / Serratia reported as "fosfomycin resistant" by ResFinder / AMRFinderPlus.

Mechanism: Chromosomal fosA confers low-level fosfomycin resistance below the EUCAST clinical breakpoint (32 mg/L for urinary isolates). Treating chromosomal-fosA E. coli as fosfomycin-resistant withholds an oral option for uncomplicated UTI unnecessarily.

Symptom: All K. pneumoniae isolates flagged "fosfomycin-R" regardless of plasmid context or phenotype.

Fix: AMRFinderPlus with --organism Klebsiella_pneumoniae suppresses the intrinsic fosA report; verify the suppression worked. Cross-reference fosA hits with MOB-suite to determine plasmid context; only plasmid-borne or upregulated fosA should be reported as resistance.

Reconciliation: When AMR Tools Disagree

PatternLikely causeAction
AMRFinderPlus calls bla_NDM-5; ResFinder calls bla_NDM-1Allele assignment differs by reference database (NCBI ReferenceGeneCatalog vs ResFinder DB); both are within the NDM familyReport the family + flag the allele discordance; for clinical handover prefer NCBI nomenclature, for legacy comparability prefer ResFinder
RGI calls mecA "Strict"; AMRFinderPlus calls "EXACTX"Tier semantics differ; both real hitsConcordant resistance call -- harmonise via hAMRonization, use NCBI ReferenceGeneCatalog nomenclature
ResFinder reports a gene at 88% identity; AMRFinderPlus omitsResFinder default 90/60; AMRFinderPlus HMM cutoff stricter for that familyManual review; for novel-variant surveillance, AMRFinderPlus + Loose-tier RGI catches more
TB-Profiler and Mykrobe disagree on isoniazidDifferent curated panels; one may predate WHO 2nd editionDefer to TB-Profiler interpreted against WHO catalogue; manual blast of katG / inhA / fabG1
mcr-9 detected; phenotypic colistin MIC susceptibleExpected -- mcr-9 frequently silent without IqrR / inductionReport mcr-9 detection + susceptibility; do NOT trigger infection-control as if MCR-1
AMRFinderPlus Method=PARTIAL_CONTIG_END for a carbapenemaseAssembly fragmentation at the plasmid edgeRe-assemble with long reads or hybrid before reporting; the gene may be present in full
RGI calls a long list of "Loose" hitsNon-model organism or distant lineageManual curation of Loose hits -- discard generic homologs, retain those near canonical AMR-active residues

Quantitative Thresholds

QuantityThresholdSource / rationale
AMRFinderPlus default %identityper-gene curated (typically 90% global)Feldgarden 2021 Sci Rep 11:12728; HMM cutoff is gene-family-aware
AMRFinderPlus default %coverage50% (alignment coverage)NCBI Reference; --report_all exposes partial hits
ResFinder default %id / %coverage90% / 60%CGE convention; tighter than abricate
abricate default %id / %coverage80% / 80%Too permissive for novel-variant surveillance
WHO Mtb Group 1 (Associated with R)High-confidence resistance callWalker 2022 Lancet Microbe 3:e265
WHO Mtb Group 3 (Uncertain)NOT "susceptible" -- phenotypic DST recommendedWalker 2022 Lancet Microbe 3:e265; 2023 2nd edition data
Heteroresistance MAF0.1-1% (deep amplicon detection)Andersson 2019 Nat Rev Microbiol 17:479
EUCAST fosfomycin urinary breakpoint32 mg/LEUCAST clinical breakpoint tables (year-specific)
Variant MAF for routine WGS-AMR calling10% (lofreq default), 20% (GATK default)Tool defaults; document per-pipeline

Common Errors

Error / symptomCauseSolution
AMRFinderPlus empty on TB assemblyNo Mtb --organism modeSwitch to TB-Profiler / Mykrobe
AMRFinderPlus calls intrinsic fosA on Klebsiella--organism not set; intrinsic suppression offAlways pass --organism for the species
--species flag rejectedAMRFinderPlus uses --organism, not --speciesUse --organism Klebsiella_pneumoniae
Different gene names for same determinant across toolsCARD ARO vs ResFinder vs NCBI ReferenceGeneCatalogPass through hamronize
Method=PARTIAL_CONTIG_END on a clinically critical geneAssembly fragmentationRe-assemble with long reads / hybrid
hamronize rejects input as missing metadata--analysis_software_version not suppliedPopulate all mandatory PHA4GE fields per tool subparser
MOB-suite cluster codes don't match published outbreak paperv2 vs v3 incompatibilityRe-run with matched MOB-suite version; document
Point-mutation panel coverage list flips between AMRFinderPlus minor releasesDB schema changeamrfinder --list_organisms and record the version
TB-Profiler bundled DB predates WHO 2nd editionDB not updatedtb-profiler update_tbdb and verify catalogue edition

Anticipated Reviewer Pushback

PushbackResponse
"Why AMRFinderPlus, not RGI?"AMRFinderPlus uses gene-family HMMs and NCBI-curated cutoffs that catch divergent novel variants without producing the Loose-tier noise of RGI; both are valid and hamronize lets the reviewer compare
"How were Group 3 WHO Mtb mutations handled?"Reported as "Uncertain significance -- phenotypic DST recommended"; not collapsed to S
"What about heteroresistance?"Read-based deep variant calling supplements assembly-based AMR for clinically critical drugs; report MAF
"Why not just trust ResFinder phenotype prediction?"EUCAST/CLSI breakpoint year must be documented; rule-based phenotype prediction inherits its curation as a hidden dependency. Pair with explicit gene + class reporting
"Why long-read assembly for AMR?"Short-read drafts fragment plasmid contigs and lose MGE / promoter context (e.g., ISEcp1 upstream of ampC; Tn4401 variants); long-read or hybrid is mandatory for any mobility / regulatory claim
"Why hAMRonization rather than tool-native outputs?"Cross-tool comparison requires schema unification; PHA4GE is the public-health consensus
"Was the intrinsic vs acquired distinction considered?"Yes -- --organism activates suppression of clinically inert intrinsic genes; reported separately

References

  • Feldgarden M, Brover V, Haft DH et al (2021) AMRFinderPlus and the Reference Gene Catalog facilitate examination of the genomic links among antimicrobial resistance, stress response, and virulence. Sci Rep 11:12728. doi:10.1038/s41598-021-91456-0
  • Bortolaia V, Kaas RS, Ruppe E et al (2020) ResFinder 4.0 for predictions of phenotypes from genotypes. J Antimicrob Chemother 75(12):3491-3500. doi:10.1093/jac/dkaa345
  • Alcock BP, Huynh W, Chalil R et al (2023) CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database. Nucleic Acids Res 51(D1):D690-D699. doi:10.1093/nar/gkac920
  • Phelan JE, O'Sullivan DM, Machado D et al (2019) Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs. Genome Med 11:41. doi:10.1186/s13073-019-0650-x
  • Hunt M, Bradley P, Lapierre SG et al (2019) Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe. Wellcome Open Res 4:191. doi:10.12688/wellcomeopenres.15603.1
  • Walker TM et al (CRyPTIC / WHO) (2022) The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis. Lancet Microbe 3(4):e265-e273. doi:10.1016/S2666-5247(21)00301-3
  • Allix-Béguec C et al (CRyPTIC) (2018) Prediction of susceptibility to first-line tuberculosis drugs by DNA sequencing. N Engl J Med 379(15):1403-1415. doi:10.1056/NEJMoa1800474
  • Robertson J, Nash JHE (2018) MOB-suite: software tools for clustering, reconstruction and typing of plasmids from draft assemblies. Microb Genom 4(8):e000206. doi:10.1099/mgen.0.000206
  • Carattoli A, Zankari E, García-Fernández A et al (2014) In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob Agents Chemother 58(7):3895-3903. doi:10.1128/AAC.02412-14
  • Johansson MHK, Bortolaia V, Tansirichaiya S et al (2021) Detection of mobile genetic elements associated with antibiotic resistance in Salmonella enterica using a newly developed web tool: MobileElementFinder. J Antimicrob Chemother 76(1):101-109. doi:10.1093/jac/dkaa390
  • Sherry NL, Horan KA, Ballard SA et al (2023) An ISO-certified genomics workflow for identification and surveillance of antimicrobial resistance. Nat Commun 14:60. doi:10.1038/s41467-022-35713-4
  • Andersson DI, Nicoloff H, Hjort K (2019) Mechanisms and clinical relevance of bacterial heteroresistance. Nat Rev Microbiol 17(8):479-496. doi:10.1038/s41579-019-0218-1
  • Liu YY, Wang Y, Walsh TR et al (2016) Emergence of plasmid-mediated colistin resistance mechanism MCR-1 in animals and human beings in China. Lancet Infect Dis 16(2):161-168. doi:10.1016/S1473-3099(15)00424-7
  • pathogen-typing - Strain context for AMR (Kleborate, MLST, cgMLST) feeds clonal interpretation of resistance dissemination
  • transmission-inference - Outbreak transmission inference for resistant clones uses AMR + cgMLST jointly
  • variant-surveillance - Lineage-level AMR-prevalence tracking for SARS-CoV-2-style surveillance (drug-resistance mutations in antiviral context)
  • metagenomics/amr-detection - Community AMR / ARG quantification (NOT isolate-focused)
  • variant-calling/variant-calling - Per-isolate SNP calling that feeds point-mutation panels
  • variant-calling/filtering-best-practices - MAF threshold discipline for heteroresistance detection
  • long-read-sequencing/long-read-alignment - Plasmid / promoter-context resolution for MGE-aware AMR
  • comparative-genomics/whole-genome-alignment - Reference-based coordinate handling for point mutations
  • clinical-databases/pharmacogenomics - Adjacent (host-side) pharmacogenetics, distinct from pathogen AMR
  • workflows/somatic-variant-pipeline - End-to-end orchestration patterns (analogous to outbreak-pipeline workflows)

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

Files

SKILL.md and 2 other files in epidemiological-genomics/amr-surveillance of GPTomics/bioSkills.

  • SKILL.md
  • examples/amr_surveillance.py
  • usage-guide.md

Open the folder on GitHubat commit d91ed3d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in GPTomics/bioSkills, which our catalogue first saw on October 7, 2026.

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Questions about Bio Epidemiological Genomics Amr Surveillance

What does Bio Epidemiological Genomics Amr Surveillance do?

Detects acquired antimicrobial-resistance determinants and chromosomal point-mutation resistance in bacterial assemblies using AMRFinderPlus, ResFinder 4.0 (acquired + PointFinder), CARD-RGI…. Bio Epidemiological Genomics Amr Surveillance is an agent skill from GPTomics/bioSkills.0 (acquired + PointFinder), CARD-RGI, abritAMR, staramr, and species-specific callers (TB-Profiler, Mykrobe).

When should I use Bio Epidemiological Genomics Amr Surveillance?

Bio Epidemiological Genomics Amr Surveillance fits situations like: screening clinical; surveillance isolates for AMR; distinguishing acquired vs intrinsic vs point-mutation resistance; calling rpoB / katG / pncA / gyrA / mgrB mutations.

How do I install Bio Epidemiological Genomics Amr Surveillance in Claude Code?

Run `npx skills add GPTomics/bioSkills --skill bio-epidemiological-genomics-amr-surveillance -a claude-code`. Or copy the skill folder (epidemiological-genomics/amr-surveillance in GPTomics/bioSkills) into .claude/skills/bio-epidemiological-genomics-amr-surveillance in your project. Claude Code loads it when a task matches its description.

How do I install Bio Epidemiological Genomics Amr Surveillance in Codex?

Run `npx skills add GPTomics/bioSkills --skill bio-epidemiological-genomics-amr-surveillance -a codex`. Or copy the skill folder (epidemiological-genomics/amr-surveillance in GPTomics/bioSkills) into .agents/skills/bio-epidemiological-genomics-amr-surveillance in your project. Codex loads it when a task matches its description.

Can I use Bio Epidemiological Genomics Amr Surveillance 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 GPTomics/bioSkills --skill bio-epidemiological-genomics-amr-surveillance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bio-epidemiological-genomics-amr-surveillance, .gemini/skills/bio-epidemiological-genomics-amr-surveillance, .github/skills/bio-epidemiological-genomics-amr-surveillance and .opencode/skills/bio-epidemiological-genomics-amr-surveillance in your project.

What does Bio Epidemiological Genomics Amr Surveillance need to run?

Going by SKILL.md and its folder, Bio Epidemiological Genomics Amr Surveillance needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3.

Does Bio Epidemiological Genomics Amr Surveillance access the network?

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

Is Bio Epidemiological Genomics Amr Surveillance safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Bio Epidemiological Genomics Amr Surveillance use?

Bio Epidemiological Genomics Amr Surveillance is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bio Epidemiological Genomics Amr Surveillance use?

About 7.6k tokens (SKILL.md is roughly 30k 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 Bio Epidemiological Genomics Amr Surveillance?

Skills that share tags, products or a category with Bio Epidemiological Genomics Amr Surveillance: Pathway Enrichment (K-Dense-AI/scientific-agent-skills, 48k stars), Celltype Specificity Profiler (ClawBio/ClawBio, 1.2k stars), Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars) and 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bio Epidemiological Genomics Amr Surveillance?

GPTomics (a GitHub organization) maintains it in GPTomics/bioSkills, which has 1,218 GitHub stars. The repository holds 559 skills in this directory. The repository was last updated on August 15, 2026.

Source: GPTomics/bioSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.