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SKILL verified MIT Self-run

Systematic Debugging

skill-jnmetacode-skillet-systematic-debugging · by jnMetaCode

Root-cause a bug with a hypothesis-driven loop instead of shotgun edits. Use when a bug isn't obvious after the first look, or when asked to "find out why" something fails.

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Install

$ agentstack add skill-jnmetacode-skillet-systematic-debugging

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

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 Used
  • 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.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

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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How agent discovery & health will work →
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About

systematic-debugging

Never fix what you can't reproduce; never explain what you haven't observed. The loop is: reproduce → observe → hypothesize → test the hypothesis → narrow. One variable at a time.

Procedure

  1. Reproduce first. Find the smallest, fastest command that shows the

failure deterministically. If it's flaky, make the loop tight (while ./repro; do :; done) and treat flakiness itself as a clue (timing, ordering, shared state).

  1. Read the actual error. The full message, the first stack frame in

your own code, and the line right before things went wrong. Resist pattern-matching to a familiar failure — verify this one.

  1. State a falsifiable hypothesis ("the cache returns stale entries after

a restart") and pick the cheapest observation that could kill it: a log line, an assertion, a debugger breakpoint, one curl.

  1. Bisect the space, whichever axis is cheapest:
  • history: git bisect run ./repro
  • data: half the failing input, recurse
  • stack: confirm the bad value at the boundary between two layers, then

descend into the guilty one only

  1. The fix must explain the symptom. Before writing it, say why this

cause produces exactly this behavior. If the explanation is fuzzy, you've found a bug, maybe not the bug.

  1. Prove it: the repro from step 1 now passes, AND a new regression test

fails without the fix. Then look for siblings — the same mistake usually exists elsewhere (grep for the pattern you just fixed).

Anti-patterns

  • Changing two things between observations — you learn nothing from the result.
  • "It works now" without knowing why it failed — it will be back.
  • Adding sleeps to fix timing issues — that's hiding the race, not fixing it.
  • Debugging through the framework before confirming your own code's inputs

and outputs at the boundary.

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.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.