bio-binning-qc

bio-binning-qc is a skill for Claude Code from fmschulz/omics-skills. It costs 50 tokens per session (1,509 once invoked), scanned A, original, MIT.

A workflow for grouping assembled metagenomic DNA fragments into draft genomes and checking their quality. Metagenomics studies genetic material collected from mixed communities of organisms.

In plain words
What is it for?
It helps calculate coverage, create and refine bins, screen their likely domain, assign taxonomy, and assess completeness and contamination.
Why use it?
It helps separate mixed assemblies into genome bins and identify problems such as missing sequence, contamination, or inconsistent bin contents.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the omics-skills plugin — 34 skills, 4 agents shipped together

Good fit It helps calculate coverage, create and refine bins, screen their likely domain, assign taxonomy, and assess completeness and contamination.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fmschulz/omics-skills/bio-binning-qc
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add fmschulz/omics-skills --skill bio-binning-qc
Clone the repo
git clone --depth 1 https://github.com/fmschulz/omics-skills

Made for: Claude Code.

Or install omics-skills, the plugin that ships this one along with the rest of its 34 skills, 4 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for bio-binning-qc

README.md
[![agentmods](https://agentmods.dev/badge/skills/fmschulz/omics-skills/bio-binning-qc/github.svg)](https://agentmods.dev/skills/fmschulz/omics-skills/bio-binning-qc)
Your own site
<a href="https://agentmods.dev/skills/fmschulz/omics-skills/bio-binning-qc"><img src="https://agentmods.dev/badge/skills/fmschulz/omics-skills/bio-binning-qc/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for bio-binning-qc

Your own site · 80×15
<a href="https://agentmods.dev/skills/fmschulz/omics-skills/bio-binning-qc"><img src="https://agentmods.dev/badge/skills/fmschulz/omics-skills/bio-binning-qc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,509 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.01509
Opus 5.5 $0.00020 $0.00604
Sonnet 5.5 $0.00010 $0.00302
Haiku 4.5 $0.00005 $0.00151

Measured 23d ago against content hash ac0d2ff8cf05, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

bio-binning-qc scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 23d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/build_bin_qc_tables.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/bio-binning-qc/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bio Binning QC

Bin metagenomic contigs, route bins by domain, run domain-specific quality checks, and join the results into normalized tables.

Instructions

Tool guides and versions: docs/README.md.

  1. Map each sample's reads back to the assembly (BBMap or bwa-mem2 for short reads, minimap2 for long reads; see /bio-reads-qc-mapping), then compute per-sample contig depth from the sorted BAMs with CoverM v0.7.0+.
  2. Bin contigs with QuickBin from Bryce Foster's BBTools container (bryce911/bbtools:39.85; record the digest when pulled). QuickBin is the default for short-read and long-read assemblies (docs/quickbin.md). On a CUDA GPU node, SemiBin2 v2.3.0+ is the alternative. Use MetaBAT2 v2.18+ only to reproduce a prior pipeline.
  3. Run /tracking-taxonomy-updates for BBTools-container QuickClade domain triage on the bin directory and the source assembly with percontig. Persist the per-contig screen so mixed bins are visible.
  4. Route bins by the QuickClade domain screen:
    • Bacteria or Archaea -> run GTDB-Tk taxonomy assignment. If the GTDB-Tk reference package is missing, set it up under $BIO_DB_ROOT, export GTDBTK_DATA_PATH, run gtdbtk check_install, and record the release before classification.
    • Eukaryota -> run EukCC v2.1.3+ for eukaryotic bins.
    • Viral or virus-like -> remove from MAG QC and route candidate contigs/genomes to /bio-viromics; use vConTACT3 for phage/prokaryotic-virus evidence and GVClass for giant-virus/Nucleocytoviricota candidates.
    • Mixed or low-confidence -> flag as potential chimeras and inspect per-contig assignments before QC scoring.
  5. Run domain-specific QC:
    • CheckM2 v1.1.0+ for bacterial and archaeal bins (v1.1.0 is a breaking upgrade: update the pinned Pixi environment and refresh the DIAMOND v3 database from Zenodo DOI 10.5281/zenodo.14897628).
    • EukCC v2.1.3+ for eukaryotic bins.
    • GUNC v1.1.0+ (needed for the progenomes_3 and gtdb_214 databases) for bacterial and archaeal bins only, as a chimerism check next to CheckM2. Do not apply GUNC to eukaryotic bins. gunc run reads .fa files from --input_dir by default; set --file_suffix to match other bin suffixes.
  6. Normalize routed outputs with scripts/build_bin_qc_tables.py. The join rejects GUNC rows for non-prokaryotic routes, refuses prokaryotic or eukaryotic bins that lack their domain-specific QC or taxonomy outputs, and refuses to overwrite existing outputs. Accepted routes are prokaryote, eukaryote, prokaryotic_virus, giant_virus, and manual_review.

Read the full file on GitHub · 66 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 23d ago Changed · -3 lines · +13 tokens per session ac0d2ff8cf05
  2. 1mo ago Changed 35738593fcd1
  3. 1mo ago First seen · 69 lines · 37 tokens per session scan A 21062088ee58

Subscribe to this mod's changes

bio-binning-qc is a skill published in the GitHub repository fmschulz/omics-skills (11 stars, last pushed 23d ago), licensed MIT. It adds 50 tokens to every session and 1,509 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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