bug-localization

bug-localization is a skill for Claude Code, Codex from ArabelaTso/Skills-4-SE. It costs 77 tokens per session (4,517 once invoked), scanned A, original, Apache-2.0.

A debugging guide for locating the likely source of a software bug. It examines errors, stack traces, failing tests, logs, crash reports, and code behaviour.

In plain words
What is it for?
Use it to trace runtime failures, test errors, data-flow problems, type mismatches, null access, boundary violations, and possible concurrency issues.
Why use it?
It narrows a problem to specific files, modules, or code paths instead of leaving developers to search the whole system.

Skill for Claude CodeCodex

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

Good fit Use it to trace runtime failures, test errors, data-flow problems, type mismatches, null access, boundary violations, and possible concurrency issues.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/arabelatso/skills-4-se/bug-localization
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 ArabelaTso/Skills-4-SE --skill bug-localization
Clone the repo
git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE

Made for: Claude Code, Codex.

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 bug-localization

README.md
[![agentmods](https://agentmods.dev/badge/skills/arabelatso/skills-4-se/bug-localization.svg)](https://agentmods.dev/skills/arabelatso/skills-4-se/bug-localization)
Your own site
<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/bug-localization"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/bug-localization.svg" alt="Measured on agentmods" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,517 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 $0.00077 $0.04517
Opus 5 $0.00039 $0.02259
Sonnet 5 $0.00015 $0.00903
Haiku 4.5 $0.00008 $0.00452

Measured 8d ago against content hash 719e8f6a52c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

bug-localization 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 8d 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.

skills/bug-localization/SKILL.md · 702 lines

How it starts

The opening of the file, as written. The whole thing — 702 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bug Localization

Precisely identify the location of bugs in source code by analyzing error messages, stack traces, failing tests, and code patterns. Provides ranked suspect locations with confidence scores and evidence.

Core Capabilities

1. Error Analysis

Extract information from error sources:

  • Stack traces - Parse and analyze call stacks
  • Error messages - Interpret exception details
  • Failing tests - Analyze test failures and assertions
  • Crash reports - Process crash dumps and core files
  • Log messages - Trace execution through logs
  • Debugger output - Interpret breakpoint and watch data

2. Code Analysis

Examine code for bug indicators:

  • Data flow - Trace variables and values
  • Control flow - Analyze execution paths
  • Type mismatches - Detect type-related issues
  • Null/undefined access - Find potential null dereferences
  • Boundary violations - Detect array/buffer overflows
  • Concurrency issues - Identify race conditions

3. Suspect Ranking

Prioritize likely bug locations:

  • Confidence scores - Rank suspects by likelihood
  • Evidence strength - Quantify supporting evidence
  • Historical data - Consider past bug patterns
  • Code complexity - Factor in cyclomatic complexity
  • Recent changes - Weigh recent modifications
  • Code churn - Consider frequently modified code

4. Investigation Guidance

Provide actionable next steps:

  • Verification steps - How to confirm the bug
  • Debugging strategies - Where to set breakpoints
  • Test cases - Tests to reproduce the bug
  • Related code - Other potentially affected areas

Bug Localization Workflow

Step 1: Gather Evidence

Collect all available information:

From stack trace:

Traceback (most recent call last):
  File "app.py", line 45, in process_order
    total = calculate_total(items)
  File "billing.py", line 23, in calculate_total
    price = item['price'] * item['quantity']
KeyError: 'price'

Read the full file on GitHub · 702 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. 8d ago First seen · 702 lines · 77 tokens per session scan A 719e8f6a52c8

Subscribe to this mod's changes

bug-localization is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (250 stars, last pushed 18d ago), licensed Apache-2.0. It adds 77 tokens to every session and 4,517 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.

Related

Other skills, from other repositories

perf-profiler

A performance investigation guide that uses repeatable measurements and profiling evidence to find where software spends time or resources. Profiling records runtime activity such as CPU use, memory use, database work, or network delays.

laolaoshiren/claude-code-skills-zh · 78 tokens

log-analyzer

A log-analysis helper that reads application and system logs to find unusual patterns and likely causes. Logs are records of events such as errors, requests, warnings, and service activity.

laolaoshiren/claude-code-skills-zh · 24 tokens

trace

Trace Elixir call trees from entry points via mix xref. Use when debugging data flow, planning signature changes, or understanding how a bug reaches code.

oliver-kriska/claude-elixir-phoenix · 33 tokens

bim-consistency-checker

Check BIM model consistency: naming conventions, parameter completeness, spatial relationships, and data integrity across model elements.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction · 28 tokens

check-tools

Validates development tool installations across Python, Node.js, Java, Go, Rust, C/C++, Git, and system utilities. Use when verifying environments or troubleshooting dependencies.

oaustegard/claude-skills · 37 tokens

022-root-cause-analysis

Use when a framed problem needs root-cause investigation rather than a symptom-level fix, applying Five Whys, Fishbone (Ishikawa), Current Reality Tree, and constraint identification. This should trigger when an issue's Root Cause Analysis point of view needs evaluation, or when a maintainer directly asks to find the…

jabrena/plinth · 85 tokens