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.
npx skills add fmschulz/omics-skills --skill bio-binning-qcgit clone --depth 1 https://github.com/fmschulz/omics-skillsWrote 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.
[](https://agentmods.dev/skills/fmschulz/omics-skills/bio-binning-qc)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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.
- Map each sample's reads back to the assembly (BBMap or
bwa-mem2for 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+. - 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. - Run
/tracking-taxonomy-updatesfor BBTools-container QuickClade domain triage on the bin directory and the source assembly withpercontig. Persist the per-contig screen so mixed bins are visible. - 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, exportGTDBTK_DATA_PATH, rungtdbtk 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.
- Bacteria or Archaea -> run GTDB-Tk taxonomy assignment. If the GTDB-Tk reference package is missing, set it up under
- 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_3andgtdb_214databases) for bacterial and archaeal bins only, as a chimerism check next to CheckM2. Do not apply GUNC to eukaryotic bins.gunc runreads.fafiles from--input_dirby default; set--file_suffixto match other bin suffixes.
- 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 areprokaryote,eukaryote,prokaryotic_virus,giant_virus, andmanual_review.
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- docs/checkm2.md 7.3 KB
- docs/coverm.md 3.5 KB
- docs/eukcc.md 7.4 KB
- docs/gunc.md 9.1 KB
- docs/metabat2.md 5.4 KB
- docs/quickbin.md 8.7 KB
- docs/README.md 8.9 KB
- docs/semibin2.md 6.4 KB
- fixtures/checkm2.tsv 50 B
- fixtures/domain_routing.tsv 336 B
- fixtures/eukcc.tsv 79 B
- fixtures/gtdbtk.tsv 66 B
- fixtures/gunc.tsv 323 B
- scripts/build_bin_qc_tables.py 6.7 KB runs code
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.
- 23d ago Changed · -3 lines · +13 tokens per session ac0d2ff8cf05
- 1mo ago Changed 35738593fcd1
- 1mo ago First seen · 69 lines · 37 tokens per session scan A 21062088ee58
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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