dna-methylation-file-format-handling

dna-methylation-file-format-handling is a skill for Claude Code, Codex from HolobiomicsLab/asb-skill-collections. It costs 59 tokens per session (1,679 once invoked), scanned A, original, Apache-2.0.

A memory-efficient workflow for loading CpG methylation files from bisulfite sequencing, a method that reads DNA chemical changes, into R using compressed, indexed files on disk.

In plain words
What is it for?
It helps load Bismark or MethylDackel call files into methylKit for differential methylation analysis and random genomic-region access.
Why use it?
Large methylation datasets may not fit comfortably in memory, while disk-backed files allow access to selected genomic regions without loading everything at once.

Skill for Claude CodeCodex

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

Good fit It helps load Bismark or MethylDackel call files into methylKit for differential methylation analysis and random genomic-region access.

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Install with agentmods
npx agentmods add skills/holobiomicslab/asb-skill-collections/dna-methylation-file-format-handling
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 HolobiomicsLab/asb-skill-collections --skill dna-methylation-file-format-handling
Clone the repo
git clone --depth 1 https://github.com/HolobiomicsLab/asb-skill-collections

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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<a href="https://agentmods.dev/skills/holobiomicslab/asb-skill-collections/dna-methylation-file-format-handling"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/dna-methylation-file-format-handling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,679 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00059 $0.01679
Opus 5 $0.00030 $0.00839
Sonnet 5 $0.00012 $0.00336
Haiku 4.5 $0.00006 $0.00168

Measured 8d ago against content hash 3837d95de305, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dna-methylation-file-format-handling 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 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.

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.

collections/epigenomics/v1/skills/dna-methylation-file-format-handling/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DNA methylation file format handling

Summary

Configure methylKit's dbtype parameter and tabix-backed storage to load bisulfite sequencing methylation calls into memory-efficient methylRawListDB objects backed by bgzipped indexed files on disk. This skill enables scalable handling of large methylation datasets without loading all data into RAM.

When to use

You have CpG methylation call files (from Bismark or MethylDackel) and need to load them into R for differential methylation analysis, but anticipate memory constraints or want to avoid loading the entire dataset into memory. Use this skill when dataset size makes in-memory storage impractical or when you need fast random access to specific genomic regions without decompressing the entire file.

When NOT to use

  • Input files are already in HDF5 or other non-tabix disk-backed format (use appropriate dbtype instead)
  • Your workflow requires in-memory operations only and dataset size is manageable in RAM (use default in-memory loading without dbtype parameter)
  • Methylation calls are not from bisulfite sequencing or lack standard genomic coordinate format (e.g., from base-calling algorithms with non-standard output)

Inputs

  • CpG methylation call files (bedGraph, cov, or Bismark coverage format)
  • Sample metadata (group/phenotype assignments for methylation samples)
  • Reference genome or annotation (optional, for downstream analysis)

Outputs

  • methylRawListDB object with dbpath slots referencing bgzipped tabix files
  • Disk-backed methylRaw objects within the list, each pointing to a tabix-indexed file
  • Validated tabix file structure with methylKit metadata headers

How to apply

Call the methRead() function with the dbtype='tabix' parameter to create a methylRawListDB object that stores methylation data in bgzipped tabix-indexed files on disk rather than in memory. The resulting methylRawListDB object will have its dbpath slot populated with file paths to the bgzipped tabix files, enabling retrieval from external files. Verify that the tabix file headers contain methylKit metadata and version information (≥ 1.13.1), and inspect the object structure to confirm the dbpath slots reference valid bgzipped tabix file paths. By default, methRead() applies a minimum coverage threshold of 10 reads per base to ensure data quality, which can be adjusted as needed. This configuration allows downstream operations like unite(), calculateDiffMeth(), and getMethylDiff() to work on the database-backed object while accessing data from disk on demand.

Read the full file on GitHub · 98 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. 8d ago First seen · 98 lines · 59 tokens per session scan A 3837d95de305

Subscribe to this mod's changes

dna-methylation-file-format-handling is a skill published in the GitHub repository HolobiomicsLab/asb-skill-collections (15 stars, last pushed today), licensed Apache-2.0. It adds 59 tokens to every session and 1,679 once invoked, about $0.0003 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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