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 chromatin-accessibility-footprint-visualizationgit 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/chromatin-accessibility-footprint-visualization)<a href="https://agentmods.dev/skills/holobiomicslab/asb-skill-collections/chromatin-accessibility-footprint-visualization"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/chromatin-accessibility-footprint-visualization/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/chromatin-accessibility-footprint-visualization"><img src="https://agentmods.dev/badge/skills/holobiomicslab/asb-skill-collections/chromatin-accessibility-footprint-visualization.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 | $0.00064 | $0.01987 |
| Opus 5 | $0.00032 | $0.00993 |
| Sonnet 5 | $0.00013 | $0.00397 |
| Haiku 4.5 | $0.00006 | $0.00199 |
Grade A, and why
chromatin-accessibility-footprint-visualization 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
chromatin-accessibility-footprint-visualization
Summary
Visualize transcription factor footprints in ATAC-seq data by aggregating corrected Tn5 insertion signals around known transcription factor binding sites, enabling direct inspection of protein-induced depletion patterns and comparative analysis across conditions.
When to use
Use this skill after performing Tn5 bias correction and footprint scoring on ATAC-seq BAM files when you need to inspect the spatial distribution of Tn5 insertions around transcription factor binding sites, validate footprinting quality, or communicate differential TF occupancy patterns across conditions to stakeholders. Specifically triggered when you have corrected bigwig files and motif coordinates (.bed) or differential binding results and wish to examine aggregate insertion patterns.
When NOT to use
- Input BAM files have not undergone Tn5 bias correction; uncorrected insertion signals contain substantial sequence bias artifacts that will obscure true footprints.
- You lack annotated transcription factor binding site coordinates or motif predictions; visualization aggregates only meaningful signal when centered on true/predicted TFBS regions.
- Data is single-cell ATAC-seq without pseudobulk aggregation per cell type; individual cell resolution lacks sufficient read depth to visualize footprints clearly.
Inputs
- Bias-corrected bigwig files (output from TOBIAS ATACorrect: *_corrected.bw)
- Transcription factor binding site coordinates (BED format with motif instances or known TFBS)
- BAM file(s) of ATAC-seq reads (for PlotTracks locus-specific views)
- Optional: Footprint score bigwig files (output from ScoreBigwig)
- Optional: Differential binding results table (output from BINDetect, for condition labeling)
Outputs
- Aggregated footprint visualization plots (PDF or PNG)
- Heatmaps showing per-site Tn5 insertion patterns across conditions
- IGV-style track plots showing cutsites, footprints, and local genomic context
- Summary figures highlighting top differential TFs with occupancy change magnitudes
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 · 109 lines · 64 tokens per session scan A 412083ab6901
chromatin-accessibility-footprint-visualization is a skill published in the GitHub repository HolobiomicsLab/asb-skill-collections (15 stars, last pushed yesterday), licensed Apache-2.0. It adds 64 tokens to every session and 1,987 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 2026-08-30.
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