QE Coverage Analysis

QE Coverage Analysis is a skill for Claude Code from summarybotng/summarybot-ng. It costs 24 tokens per session (1,114 once invoked), scanned A, original, MIT.

A test-coverage analysis tool that finds untested statements, branches, functions, and important code paths, then ranks gaps by risk. Test coverage measures which parts of the code are exercised by tests.

In plain words
What is it for?
Use it to analyse coverage, find high-risk uncovered code, compare branches, set targets, create reports, and prioritise new tests.
Why use it?
It helps teams spend testing effort where missing coverage is most likely to matter instead of treating every gap equally.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to analyse coverage, find high-risk uncovered code, compare branches, set targets, create reports, and prioritise new tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/summarybotng/summarybot-ng/qe-coverage-analysis
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 summarybotng/summarybot-ng --skill qe-coverage-analysis
Clone the repo
git clone --depth 1 https://github.com/summarybotng/summarybot-ng

Made for: Claude Code.

Wrote 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.

agentmods badge for QE Coverage Analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/qe-coverage-analysis/github.svg)](https://agentmods.dev/skills/summarybotng/summarybot-ng/qe-coverage-analysis)
Your own site
<a href="https://agentmods.dev/skills/summarybotng/summarybot-ng/qe-coverage-analysis"><img src="https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/qe-coverage-analysis/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.

agentmods 80×15 button for QE Coverage Analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/summarybotng/summarybot-ng/qe-coverage-analysis"><img src="https://agentmods.dev/badge/skills/summarybotng/summarybot-ng/qe-coverage-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,114 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.
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 $0.00024 $0.01114
Opus 5 $0.00012 $0.00557
Sonnet 5 $0.00005 $0.00223
Haiku 4.5 $0.00002 $0.00111

Measured 5d ago against content hash e526595fc48a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

QE Coverage Analysis 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 5d 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.

.claude/skills/qe-coverage-analysis/SKILL.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QE Coverage Analysis

Purpose

Guide the use of v3's advanced coverage analysis capabilities including sublinear gap detection algorithms, risk-weighted coverage scoring, and intelligent test prioritization based on code criticality.

Activation

  • When analyzing test coverage
  • When identifying coverage gaps
  • When prioritizing testing effort
  • When setting coverage targets
  • When assessing code risk

Quick Start

# Analyze coverage with gap detection
aqe coverage analyze --source src/ --tests tests/

# Find high-risk uncovered code
aqe coverage gaps --risk-weighted --threshold 80

# Generate coverage report
aqe coverage report --format html --output coverage-report/

# Compare coverage between branches
aqe coverage diff --base main --head feature-branch

Agent Workflow

// Comprehensive coverage analysis
Task("Analyze coverage gaps", `
  Perform O(log n) coverage analysis on src/:
  - Calculate statement, branch, function coverage
  - Identify uncovered critical paths
  - Risk-weight gaps by code complexity and change frequency
  - Recommend tests to write for maximum coverage impact
`, "qe-coverage-specialist")

// Risk-based prioritization
Task("Prioritize coverage effort", `
  Analyze coverage gaps and prioritize by:
  - Business criticality (payment, auth, data)
  - Code complexity (cyclomatic > 10)
  - Recent bug history
  - Change frequency
  Output prioritized list of files needing tests.
`, "qe-coverage-analyzer")

Analysis Strategies

1. Sublinear Gap Detection

await coverageAnalyzer.detectGaps({
  algorithm: 'sublinear',  // O(log n) complexity
  source: 'src/**/*.ts',
  metrics: ['statement', 'branch', 'function'],
  sampling: {
    enabled: true,
    confidence: 0.95,
    maxSamples: 1000
  }
});

2. Risk-Weighted Coverage

await coverageAnalyzer.riskWeightedAnalysis({
  coverage: coverageReport,
  riskFactors: {
    complexity: { weight: 0.3, threshold: 10 },
    changeFrequency: { weight: 0.25, window: '90d' },
    bugHistory: { weight: 0.25, window: '180d' },
    criticality: { weight: 0.2, tags: ['payment', 'auth'] }
  },
  output: {
    riskScore: true,
    prioritizedGaps: true
  }
});

Read the full file on GitHub · 194 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 194 lines · 24 tokens per session scan A e526595fc48a

Subscribe to this mod's changes

QE Coverage Analysis is a skill published in the GitHub repository summarybotng/summarybot-ng (2 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 1,114 once invoked, about $0.0001 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.