logic-locate
Finds the root cause of a confirmed failure. It traces the code backward and forward to find where the problem started.
What it does
This tool helps find the exact cause of a computer program error. It investigates the problem step-by-step, both backward and forward, to identify where the error originated.
When to use it
- ✓When a program crashes and you have the error log (stack trace).
- ✓When a specific test fails and you don't know why.
- ✓When you observe an incorrect result and want to trace its origin.
Example of what to ask your AI
“Find the cause of this error: [paste stack trace here]”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI analyzes the error, traces the data and actions leading up to it, and then confirms if that path actually causes the observed problem. The goal is to find the exact point where things started going wrong.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill logic-locateOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/logic-locate/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Logic-Lens — Fault Locate
When to Use
Use this skill when you need locate the root cause of a CONFIRMED failure via backward-then-forward semi-formal tracing. Trigger when the user provides a stack trace, failing assertion, error message, or specific wrong-value observation — "find the bug", "this test is failing", "track down this crash", "why is...
Setup
Use lazy loading per ../_shared/common.md §13:
- Read
../_shared/common.mdonly for language, Iron Law, Fault Confidence, scope routing, Remedy discipline, config fields, and loading budget. - Read only the relevant step in
logic-locate-guide.mdas you reach it. - Load
../_shared/logic-risks.md,../_shared/semiformal-guide.md,../_shared/semiformal-checklist.md, and../_shared/report-template.mdon demand when the current step needs them.
Process
Step 0. Language + scope routing. Detect language per common.md §1. Confirm a concrete failure exists (stack trace, failing assertion, specific wrong value). If only a suspicion, switch to logic-review.
Step 1. Understand the failure (guide Step 1) — observed behavior, expected behavior, reproduction path.
Step 2. Identify the entry point (guide Step 2) — failing test, outermost application frame, or request handler — whichever is closest to the failure. Stay inside the failure cone first: stack frames, failing test fixture, directly called local functions, and config/env values read on that path. Do not scan unrelated modules unless the trace crosses into them.
Step 3. Trace backward from the failure point (guide Step 3) — walk each value and state back to its origin, building premises at every hop.
Step 4. Trace forward to confirm (guide Step 4) — from the suspected root, verify the trace reaches the observed symptom.
Step 5. Interprocedural tracing if a callee is implicated (guide Step 5) — trace into the callee; check return values under observed conditions, unhandled exceptions, shared-state mutation. Apply the depth limit and Call-Chain Context Label format defined in semiformal-guide.md §Call-Chain Context Labels; at the limit, state the remaining callee path as a premise assumption and downgrade to Medium confidence (per common.md §7).
Step 6. Identify the root divergence and classify (guide Step 6) — state the exact line/expression, the violated premise, the actual behavior, the propagation chain to the symptom; pick the L-code.
Step 7. Output the focused report (guide Step 7) — Fault Confidence (High/Medium/Low, per common.md §7); Primary Fault (single five-field finding); optionally Contributing Factors; a minimal Remedy per common.md §10. Format is mandatory even for simple one-function bugs: always emit the labeled Premises / Trace / Divergence / Trigger / Remedy fields and the Fault Confidence line. Never answer with a plain fix suggestion.
Mode line in report: Fault Locate (Chinese: 故障定位).
Output format: the Findings section has ONE Primary Fault, not a full Critical/Warning/Suggestion split. The Logic Score line is replaced by Fault Confidence: High / Medium / Low.
Limitations
- Use this skill only when the task clearly matches its upstream source and local project context.
- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
FAQ
What is a 'stack trace'?
It's a detailed log of function calls that were happening when the error occurred, showing the sequence of events.
What does 'root cause' mean?
It's the fundamental, original reason for a problem, the origin of all symptoms.
Will the AI fix the error?
Not directly. It focuses on finding and explaining the cause of the error, providing a detailed report for a human to fix.
Details
Original description by the author
Locate the root cause of a CONFIRMED failure via backward-then-forward semi-formal tracing.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3486
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
00-andruia-consultant
Helps your agent start or improve AI projects. It analyzes code, suggests tools, and creates action plans in Spanish.
sickn33/agentic-awesome-skills
007
Lets your agent perform security audits and threat modeling. It's useful for protecting projects against attacks and vulnerabilities.
sickn33/agentic-awesome-skills
10-andruia-skill-smith
Helps your agent create or improve AI tools. It defines how tools work, writes documentation, and validates the structure.
sickn33/agentic-awesome-skills
20-andruia-niche-intelligence
Lets your agent create a summary about a specific industry. It's useful for understanding the context, rules, usage patterns, and risks of a project, using reliable sources.
sickn33/agentic-awesome-skills
Similar skills
cpp-testing
Makes your agent write and improve tests for C++ code. It helps set up testing tools and fix errors.
affaan-m/ECC
csharp-testing
Helps your agent create tests for C# and .NET code. It uses best practices to ensure tests are efficient and reliable.
affaan-m/ECC
django-tdd
Enables your agent to apply testing strategies for Django with pytest-django and TDD. It's useful for writing robust tests and ensuring code quality, especially for DRF APIs.
affaan-m/ECC