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systematic-debugging Skill

AI Agent SkillPythonOpen source

4-phase root cause debugging: understand bugs before fixing. Published by NousResearch in hermes-agent.

What is systematic-debugging Skill?

4-phase root cause debugging: understand bugs before fixing. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Testing use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use systematic-debugging Skill

  • Use it for testing.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: skills/software-development/systematic-debugging/SKILL.md

What it does

4-phase root cause debugging: understand bugs before fixing.

Skill instructions

Systematic Debugging Overview Random fixes waste time and create new bugs. Quick patches mask underlying issues. Core principle: ALWAYS find root cause before attempting fixes. Symptom fixes are failure. Violating the letter of this process is violating the spirit of debugging. The Iron Law NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST If you haven't completed Phase 1, you cannot propose fixes. The Feedback Loop Rule The feedback loop is the debugging work. Before reading code to build a theory, create or identify a tight command that can go red on the user's exact symptom and green when the bug is fixed. A tight loop is fast, deterministic, agent-runnable, and specific enough to catch this bug — not merely "doesn't crash". When a clean repro is hard, spend disproportionate effort building the loop. Guessing without a red-capable loop is the failure mode this skill exists to prevent. When to Use Use for ANY technical issue: - Test failures - Bugs in production - Unexpected behavior -

Explore related resources

Frequently asked questions

What is systematic-debugging?

systematic-debugging is a open-source AI agent skill with Copy skill directory. 4-phase root cause debugging: understand bugs before fixing.

Who is systematic-debugging best for?

systematic-debugging is best for reusing agent instructions, scripts, and references, testing workflows.

How do I install systematic-debugging?

Install or run systematic-debugging using Copy skill directory. Check systematic-debugging for the latest setup command.

Is systematic-debugging actively maintained?

systematic-debugging may need a closer maintenance check before production use.

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Stars
214,436
Forks
39,858
Last commit
9 days ago
Repository age
1 year
License
MIT

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