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 HolobiomicsLab/asb-skill-collections --skill bisulfite-sequencing-data-loadinggit clone --depth 1 https://github.com/HolobiomicsLab/asb-skill-collectionsWrote 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/holobiomicslab/asb-skill-collections/bisulfite-sequencing-data-loading)<a href="https://agentmods.dev/skills/holobiomicslab/asb-skill-collections/bisulfite-sequencing-data-loading"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/bisulfite-sequencing-data-loading/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/holobiomicslab/asb-skill-collections/bisulfite-sequencing-data-loading"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/bisulfite-sequencing-data-loading.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00077 | $0.01761 |
| Opus 5 | $0.00039 | $0.00881 |
| Sonnet 5 | $0.00015 | $0.00352 |
| Haiku 4.5 | $0.00008 | $0.00176 |
Grade A, and why
bisulfite-sequencing-data-loading 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 9d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bisulfite-sequencing-data-loading
Summary
Load and parse DNA methylation call files from bisulfite sequencing experiments (RRBS, WGBS, target-capture) into in-memory or disk-backed R objects, supporting both standard text formats and tabix-indexed bgzipped storage for memory-efficient batch processing.
When to use
You have raw methylation call files from Bismark, MethylDackel, or similar bisulfite alignment tools (bedGraph, cytosine report, or tabix-indexed formats) and need to import them into R as methylRaw or methylRawListDB objects for downstream differential methylation analysis, quality filtering, or annotation.
When NOT to use
- Input files are already formatted as a unified methylBase object or methylDiff object (skip directly to filtering or differential methylation analysis)
- You are working with non-bisulfite methylation data (e.g., whole-genome or targeted 5hmC without proper bisulfite conversion controls)
- Raw sequencing reads (FASTQ) are provided instead of methylation call files; align with Bismark or MethylDackel first
Inputs
- Methylation call files (cytosineReport, bedGraph, or tabix-indexed bgzipped format from Bismark/MethylDackel)
- Sample metadata (treatment/condition assignment)
- Assembly/genome identifier (e.g., 'hg19', 'mm9')
Outputs
- methylRaw object (single sample, in-memory)
- methylRawList object (multiple samples, in-memory)
- methylRawListDB object (multiple samples, disk-backed tabix storage)
How to apply
Use the methRead() function from methylKit to read methylation call files, specifying the file format (e.g., 'cytosineReport', 'bedGraph') and assembly. For memory-constrained analyses with large sample cohorts, set dbtype='tabix' to create a methylRawListDB object backed by bgzipped tabix-indexed files on disk rather than in-memory storage. By default, methRead() applies a minimum coverage threshold of 10 reads per base to ensure quality methylation percentage estimates. Verify the resulting methylRaw or methylRawListDB object structure and confirm that the dbpath slot references valid bgzipped tabix file paths when using database-mode storage. The function automatically handles CpG, CHG, and CHH context methylation calls depending on your input file's content and the bisulfite sequencing protocol (RRBS vs. WGBS).
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.
- 9d ago First seen · 98 lines · 77 tokens per session scan A 9150ce5e4661
bisulfite-sequencing-data-loading is a skill published in the GitHub repository HolobiomicsLab/asb-skill-collections (15 stars, last pushed 3d ago), licensed Apache-2.0. It adds 77 tokens to every session and 1,761 once invoked, about $0.0004 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 2026-08-30.
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