systematic-debugging Skill
4-phase root cause debugging: understand bugs before fixing. Published by NousResearch in hermes-agent.
Decision snapshot
Is this a fit?
Testing, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
5 days ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
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.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Testing use cases
Declared skill metadata
- Declared author: Hermes Agent (adapted from obra/superpowers)
- Declared license: MIT
- Source file: skills/software-development/systematic-debugging/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use systematic-debugging Skill
- Use it for testing.
Built with
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 -
Verified compatibility and discovery
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.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
