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 atac-seq-tn5-bias-correctiongit 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/atac-seq-tn5-bias-correction)<a href="https://agentmods.dev/skills/holobiomicslab/asb-skill-collections/atac-seq-tn5-bias-correction"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/atac-seq-tn5-bias-correction/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/atac-seq-tn5-bias-correction"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/atac-seq-tn5-bias-correction.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 | $0.00042 | $0.01561 |
| Opus 5 | $0.00021 | $0.00781 |
| Sonnet 5 | $0.00008 | $0.00312 |
| Haiku 4.5 | $0.00004 | $0.00156 |
Grade A, and why
atac-seq-tn5-bias-correction 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 12d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ATAC-seq Tn5 Insertion Bias Correction
Summary
Correct sequence-dependent Tn5 transposase insertion biases in ATAC-seq BAM files to produce unbiased genome-wide cutsite signals, enabling accurate downstream footprint detection and transcription factor occupancy analysis.
When to use
You have raw ATAC-seq BAM files and need to perform footprinting analysis to detect transcription factor binding through Tn5 insertion patterns. Apply this skill before calculating footprint scores or running differential binding detection, as uncorrected bias will obscure true protein-bound footprints and inflate false positives.
When NOT to use
- Input BAM file is from a non-ATAC assay (e.g., ChIP-seq, DNase-seq) where Tn5 bias is not the dominant systematic error
- You only have already-normalized ATAC-seq counts per peak and no access to the original BAM files with per-base cutsites
- Peak annotations are unavailable or of very poor quality, making it impossible to define the chromatin accessibility context for bias estimation
Inputs
- ATAC-seq BAM file (aligned reads with cutsites)
- Reference genome FASTA file
- Peak annotations BED file (chromatin accessibility regions)
Outputs
- Uncorrected cutsite bigWig file
- Tn5 insertion bias bigWig file
- Expected signal bigWig file
- Bias-corrected cutsite bigWig file
- ATACorrect diagnostic PDF report
How to apply
Run TOBIAS ATACorrect on your BAM file, providing the aligned reads, reference genome in FASTA format, and peak annotations in BED format. The tool models the sequence preference of Tn5 transposase (which shows directional insertion bias at certain DNA sequences) and generates a bias track, expected signal track, and corrected cutsite signal. The corrected bigWig output represents the true Tn5 insertion pattern independent of sequence context, enabling reliable identification of the characteristic insertion depletion around protein-bound sites (footprints). Verify correction quality by visually inspecting the generated PDF report comparing uncorrected vs. corrected signals.
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.
- 12d ago First seen · 101 lines · 42 tokens per session scan A 54c30e8e66f5
atac-seq-tn5-bias-correction is a skill published in the GitHub repository HolobiomicsLab/asb-skill-collections (15 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 1,561 once invoked, about $0.0002 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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