bio-microbiome-amplicon-processing

bio-microbiome-amplicon-processing is a skill for Claude Code, Codex from FridrichMethod/awesome-skills. It costs 261 tokens per session (6,081 once invoked), scanned A, original, no licence file.

A workflow for processing 16S rRNA or ITS sequencing data from microbes. It uses DADA2 to identify exact DNA sequence variants from FASTQ files, which are files containing raw sequencing reads.

In plain words
What is it for?
It is for analyzing microbiome amplicon experiments, including bacterial 16S data and fungal ITS data, from demultiplexed sequencing files.
Why use it?
It removes primer sequences, filters unreliable reads, and models sequencing errors before combining results from multiple runs. This produces cleaner tables of microbial sequence variants.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for analyzing microbiome amplicon experiments, including bacterial 16S data and fungal ITS data, from demultiplexed sequencing files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fridrichmethod/awesome-skills/amplicon-processing
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 FridrichMethod/awesome-skills --skill amplicon-processing
Clone the repo
git clone --depth 1 https://github.com/FridrichMethod/awesome-skills

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-microbiome-amplicon-processing

README.md
[![agentmods](https://agentmods.dev/badge/skills/fridrichmethod/awesome-skills/amplicon-processing/github.svg)](https://agentmods.dev/skills/fridrichmethod/awesome-skills/amplicon-processing)
Your own site
<a href="https://agentmods.dev/skills/fridrichmethod/awesome-skills/amplicon-processing"><img src="https://agentmods.dev/badge/skills/fridrichmethod/awesome-skills/amplicon-processing/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-microbiome-amplicon-processing

Your own site · 80×15
<a href="https://agentmods.dev/skills/fridrichmethod/awesome-skills/amplicon-processing"><img src="https://agentmods.dev/badge/skills/fridrichmethod/awesome-skills/amplicon-processing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 261 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,081 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 unknown 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 $0.00261 $0.06081
Opus 5 $0.00130 $0.03040
Sonnet 5 $0.00052 $0.01216
Haiku 4.5 $0.00026 $0.00608

Measured 6d ago against content hash 998ef8233364, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

bio-microbiome-amplicon-processing 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 6d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (examples/remove_primers.sh), 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/amplicon-processing/SKILL.md · 256 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

3 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.

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. 6d ago First seen · 256 lines · 261 tokens per session scan A 998ef8233364

Subscribe to this mod's changes

bio-microbiome-amplicon-processing is a skill published in the GitHub repository FridrichMethod/awesome-skills (15 stars, last pushed 4d ago), with no licence file. It adds 261 tokens to every session and 6,081 once invoked, about $0.0013 per session on Opus 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 2026-09-03.

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