bio-ecological-genomics-edna-metabarcoding

bio-ecological-genomics-edna-metabarcoding is a skill for Claude Code, Codex from thesecondfox/skill. It costs 141 tokens per session (2,820 once invoked), scanned A, original, MIT.

A workflow for turning environmental DNA—genetic material collected from water, soil, or other surroundings—into a table showing which species were detected. It processes DNA reads, removes primers, cleans errors, and assigns names using reference databases.

In plain words
What is it for?
Use it to analyze COI, 12S, rbcL, or ITS samples, remove contamination, identify species with BOLD, MIDORI2, or MitoFish, and create species occurrence tables.
Why use it?
Raw environmental DNA data contains sequencing errors, unwanted material, and fragments that need comparison with known sequences. Processing is required before the samples can support species surveys.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to analyze COI, 12S, rbcL, or ITS samples, remove contamination, identify species with BOLD, MIDORI2, or MitoFish, and create species occurrence tables.

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Install with agentmods
npx agentmods add skills/thesecondfox/skill/bio-ecological-genomics-edna-metabarcoding
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 thesecondfox/skill --skill bio-ecological-genomics-edna-metabarcoding
Clone the repo
git clone --depth 1 https://github.com/thesecondfox/skill

Made for: Claude Code, Codex.

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-ecological-genomics-edna-metabarcoding

README.md
[![agentmods](https://agentmods.dev/badge/skills/thesecondfox/skill/bio-ecological-genomics-edna-metabarcoding.svg)](https://agentmods.dev/skills/thesecondfox/skill/bio-ecological-genomics-edna-metabarcoding)
Your own site
<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-ecological-genomics-edna-metabarcoding"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-ecological-genomics-edna-metabarcoding.svg" alt="Measured on agentmods" height="20"></a>
Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,820 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00141 $0.02820
Opus 5 $0.00071 $0.01410
Sonnet 5 $0.00028 $0.00564
Haiku 4.5 $0.00014 $0.00282

Measured 8d ago against content hash f7ddd2d7dd14, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

bio-ecological-genomics-edna-metabarcoding scanned grade A with 1 finding 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 8d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

wget https://reference-midori.info/download/Databases/MIDORI2_DADA2/COI/MIDORI2_LONGEST_NUC_GB259_CO1_DADA2.fasta.gz
Common_Skills/bio-ecological-genomics-edna-metabarcoding/SKILL.md · 247 lines

How it starts

The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Version Compatibility

Reference examples tested with: DADA2 1.30+, cutadapt 4.4+

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

  • R: packageVersion('<pkg>') then ?function_name to verify parameters
  • CLI: <tool> --version then <tool> --help to confirm flags

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

eDNA Metabarcoding

"Process my eDNA samples to identify species" → Transform raw amplicon reads (COI, 12S, rbcL, ITS) into species occurrence tables through primer removal, denoising (DADA2 ASVs), taxonomy assignment against reference databases (BOLD, MIDORI2), and contamination filtering with decontam.

  • CLI: cutadapt for primer removal, obi (OBITools3) for paired-end assembly
  • R: dada2::filterAndTrim()dada()assignTaxonomy() for ASV pipeline

Processes environmental DNA amplicon reads into species occurrence tables with taxonomy assignment, contamination filtering, and occupancy modeling.

Primer Removal with Cutadapt

Goal: Remove amplicon primers from paired-end eDNA reads while discarding untrimmed read pairs.

Approach: Use cutadapt linked adapter trimming with marker-specific primer sequences and minimum overlap enforcement.

Linked adapter trimming removes primer pairs while discarding reads lacking primers:

# COI primers (mlCOIintF / jgHCO2198)
cutadapt -g 'GGWACWGGWTGAACWGTWTAYCCYCC;min_overlap=20' \
         -G 'TAIACYTCIGGRTGICCRAARAAYCA;min_overlap=20' \
         --discard-untrimmed --pair-filter=any \
         -o trimmed_R1.fastq.gz -p trimmed_R2.fastq.gz \
         raw_R1.fastq.gz raw_R2.fastq.gz

# 12S MiFish-U primers
cutadapt -g 'GTCGGTAAAACTCGTGCCAGC;min_overlap=18' \
         -G 'CATAGTGGGGTATCTAATCCCAGTTTG;min_overlap=18' \
         --discard-untrimmed --pair-filter=any \
         -o trimmed_R1.fastq.gz -p trimmed_R2.fastq.gz \
         raw_R1.fastq.gz raw_R2.fastq.gz

# ITS primers (ITS1F / ITS2)
cutadapt -g 'CTTGGTCATTTAGAGGAAGTAA;min_overlap=18' \
         -G 'GCTGCGTTCTTCATCGATGC;min_overlap=18' \
         --discard-untrimmed --pair-filter=any \
         -o trimmed_R1.fastq.gz -p trimmed_R2.fastq.gz \
         raw_R1.fastq.gz raw_R2.fastq.gz

Read the full file on GitHub · 247 lines

Files

What ships with it

1 file 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.

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. 8d ago First seen · 247 lines · 141 tokens per session scan A f7ddd2d7dd14

Subscribe to this mod's changes

bio-ecological-genomics-edna-metabarcoding is a skill published in the GitHub repository thesecondfox/skill (3 stars, last pushed 5mo ago), licensed MIT. It adds 141 tokens to every session and 2,820 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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