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Debugging

skill-hnikoloski-imlazy-imlazy-debug · by hnikoloski

Systematic root-cause investigation before any fix attempt. Four phases — Root Cause → Pattern Analysis → Hypothesis → Implementation. If 3+ fixes fail, question the architecture

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Install

$ agentstack add skill-hnikoloski-imlazy-imlazy-debug

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.

Preview Execution monitoring

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About

debugging

The Iron Law

NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST

If you have not completed Phase 1, you cannot propose fixes.

The Four Phases

You MUST complete each phase before proceeding to the next.

Phase 1: Root Cause Investigation

BEFORE attempting ANY fix:

  1. Read error messages carefully. Don't skip past errors. Read stack traces completely. Note line numbers, file paths, error codes.
  1. Reproduce consistently. Can you trigger it reliably? What are the exact steps? If not reproducible, gather more data before guessing.
  1. Check recent changes. What changed that could cause this? git diff, recent commits, new dependencies, config changes.
  1. Gather evidence in multi-component systems (CI → build → signing, API → service → DB):

Before proposing fixes, add diagnostic instrumentation at each component boundary — log what data enters, log what data exits. Run once to see WHERE it breaks, then investigate that component. See references/multi-component-debugging.md for a worked example.

  1. Trace data flow. Where does the bad value originate? What called this with the bad value? Keep tracing up until you find the source. Fix at source, not at symptom.

Phase 2: Pattern Analysis

  1. Find working examples — locate similar working code in the codebase.
  2. Read the reference implementation completely if implementing a pattern — don't skim.
  3. Identify differences — what's different between working and broken? List every difference.
  4. Understand dependencies — what config, environment, or state does this need?

Phase 3: Hypothesis and Testing

  1. Form one hypothesis: "I think X is the root cause because Y." Write it down. Be specific.
  2. Test minimally: make the smallest possible change to test the hypothesis. One variable at a time.
  3. Verify before continuing. Worked? → Phase 4. Didn't work? → form new hypothesis. Don't add more fixes on top.
  4. If you don't know, say "I don't understand X." Ask for help. Don't pretend.

Phase 4: Implementation

  1. Create a failing test that reproduces the bug. Use Skill(imlazy-tdd) for writing proper failing tests.
  2. Implement one fix addressing the root cause identified. No "while I'm here" improvements.
  3. Verify the fix: test passes, no other tests broken, issue resolved.
  4. If fix doesn't work: STOP. Count attempts.
  • Under 3 attempts: return to Phase 1 with new information.
  • 3+ attempts: question the architecture (see below).

If 3+ fixes failed: question the architecture

Pattern that indicates architectural problem: each fix reveals new shared-state coupling or problem in a different place; fixes require "massive refactoring"; each fix creates new symptoms.

STOP and discuss with the user before attempting more fixes. This is not a failed hypothesis — this is a wrong architecture.

Red flags — stop and follow the process

  • "Quick fix for now, investigate later"
  • "Just try changing X and see if it works"
  • "Add multiple changes, run tests"
  • "It's probably X, let me fix that"
  • "I don't fully understand but this might work"
  • "One more fix attempt" (when already tried 2+)
  • Each fix reveals new problem in different place

Quick reference

| Phase | Key activities | Success criteria | |-------|---------------|-----------------| | 1. Root Cause | Read errors, reproduce, check changes, gather evidence | Understand WHAT and WHY | | 2. Pattern | Find working examples, compare, identify differences | Know what differs | | 3. Hypothesis | Form one theory, test minimally | Confirmed or new hypothesis | | 4. Implementation | Create test, fix, verify | Bug resolved, tests pass |

Common rationalizations

| Excuse | Reality | |--------|---------| | "Issue is simple, don't need process" | Simple issues have root causes. Process is fast for simple bugs. | | "Emergency, no time" | Systematic is FASTER than guess-and-check thrashing. | | "Multiple fixes at once saves time" | Can't isolate what worked. Causes new bugs. | | "One more fix attempt" (after 2+) | 3+ failures = architectural problem. Question the pattern. |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.