narrow-peak-calling-score-threshold

narrow-peak-calling-score-threshold is a skill for Claude Code, Codex from HolobiomicsLab/asb-skill-collections. It costs 45 tokens per session (1,529 once invoked), scanned A, original, Apache-2.0.

A method for converting a continuous ChIP-seq q-value track into discrete narrow peak regions by applying a significance cutoff and size rules. A q-value estimates the expected false-discovery rate among results called significant.

In plain words
What is it for?
It is for producing narrowPeak regions from a q-value bedgraph after ChIP-seq signal processing.
Why use it?
It turns scored genomic positions into defined peak boundaries and filters out regions that are too short or separated by unsuitable gaps.

Skill for Claude CodeCodex

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

Good fit It is for producing narrowPeak regions from a q-value bedgraph after ChIP-seq signal processing.

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Install with agentmods
npx agentmods add skills/holobiomicslab/asb-skill-collections/narrow-peak-calling-score-threshold
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 narrow-peak-calling-score-threshold
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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Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,529 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 $0.00045 $0.01529
Opus 5 $0.00023 $0.00764
Sonnet 5 $0.00009 $0.00306
Haiku 4.5 $0.00005 $0.00153

Measured 9d ago against content hash a8b377246bca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

narrow-peak-calling-score-threshold 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.

collections/epigenomics/v1/skills/narrow-peak-calling-score-threshold/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

narrow-peak-calling-score-threshold

Summary

Call narrow peaks from a q-value bedgraph track by applying a statistical significance cutoff and enforcing minimum peak length and gap constraints. This final step converts continuous score data into discrete peak regions for ChIP-Seq analysis.

When to use

After generating a q-value bedgraph track from ChIP-Seq pileup versus local lambda comparison, and you need to identify statistically significant narrow peaks with defined boundaries. Apply this skill when your input is a bedgraph file of q-values (or p-values) and you want discrete narrowPeak format output with regions that exceed a user-specified significance threshold.

When NOT to use

  • Input is broad histone mark data (e.g., H3K27me3, H3K4me1) — use bdgbroadcall instead of bdgpeakcall
  • Input bedgraph contains p-values not converted to -log10 scale — ensure proper transformation before applying cutoff
  • Fragment length d is unavailable or unreliable (e.g., bimodal or very short ChIP library) — revisit macs3 predictd output or adjust d manually based on expected mark width

Inputs

  • bedgraph file of q-value scores (output from macs3 bdgcmp with -m qpois)
  • predicted fragment length d (from macs3 predictd)
  • significance threshold (q-value cutoff, typically 0.05)

Outputs

  • narrowPeak format file with peak coordinates, summit, and -log10(q-value) scores

How to apply

Use macs3 bdgpeakcall to identify contiguous regions in the q-value track that exceed a cutoff threshold (converted from q-value to -log10 scale; e.g., q-value 0.05 = cutoff 1.301). Enforce a minimum peak length equal to the predicted fragment length d (e.g., 245 bp) to filter out spurious short fragments, and set a gap parameter to the read length (typically 100 bp) to merge peaks separated by small intervals. The function outputs narrowPeak format, which includes peak coordinates, summit position, and -log10(q-value) score for each called peak. Rationale: the fragment length constraint ensures peaks are wide enough to represent true ChIP enrichment, while the gap parameter prevents artificial fragmentation of continuous enriched regions.

Read the full file on GitHub · 95 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. 9d ago First seen · 95 lines · 45 tokens per session scan A a8b377246bca

Subscribe to this mod's changes

narrow-peak-calling-score-threshold is a skill published in the GitHub repository HolobiomicsLab/asb-skill-collections (15 stars, last pushed yesterday), licensed Apache-2.0. It adds 45 tokens to every session and 1,529 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 2026-09-03.

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