Bugfix
A small collection of Claude Code skills I use and maintain.
npx -y skills add duthaho/skillhub --skill bugfixAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 6 stars6 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Lightweight bug-fixing loop — reproduce → root-cause → fix test-first → verify — deliberately separate from the heavyweight feature workflow so small fixes don't drag a spec-and-plan process behind them. Demands a deterministic reproduction before any code changes, a stated root-cause hypothesis confirmed with evidence (never a shotgun fix), a failing test that captures the bug, and the original repro re-run as proof. Keeps a one-line-per-bug log in out/dev/bugfix-log.md and checks it first, so recurring bugs get recognized instead of re-diagnosed. Use when the user reports something broken, failing, throwing, or flaky, or asks to fix a bug — e.g. "/bugfix login 500s on empty password", "fix this error", "this test is flaky", "why is X crashing". If the fix turns out to need real design work, hand off to feature; the shipping gate is done.
SKILL.md
7.2 KB, as published. Nobody here has run it
bugfix — reproduce, root-cause, fix, prove
/bugfix <symptom / error / failing thing>
Answer one question: why does this actually happen, and what's the minimal fix that provably removes it? The order is non-negotiable — reproduce before diagnosing, diagnose before fixing, prove after fixing. A fix without a confirmed root cause is a guess wearing a commit message.
Step 0 — Check the log
Read out/dev/bugfix-log.md if it exists. A similar symptom fixed before is
the best diagnostic head start there is — past root causes cluster ("we've
had three timezone bugs in this module"). Mention any match. Also skim recent
git log — a bug that appeared recently usually shipped recently.
Step 1 — Reproduce (before touching any code)
Turn the report into a deterministic reproduction: a command, a failing
test invocation, a curl, a click path, a git bisect run harness —
something that fails on demand and will pass when the bug is dead.
- The gate is checkable: a command you have already run at least once, with the invocation and its output pasted. That output is the baseline the fix is judged against — a repro described but never run doesn't count.
- Tighten the loop — Step 2 re-runs it on every hypothesis, so its speed is your debugging speed: faster, sharper signal, more deterministic (pin time, seed RNG, isolate the filesystem).
- Minimise (skip when the repro is already one obvious line): cut inputs, steps, config, and data one at a time, re-running after each cut, until every remaining element is load-bearing. A minimal repro shrinks the hypothesis space and becomes Step 3's failing test nearly for free.
- Can't reproduce it? Stop. Report what was tried, what extra information would help (versions, data, environment, timing), and ask. Do not fix code you can't watch fail — "fixed" without a repro is unfalsifiable.
- Flaky bug? Don't settle for noting the failure rate — raise it: loop the trigger, pin nondeterminism until it fails most runs. A 50% flake is debuggable; a 1% flake is not. The fix is judged against the same rate.
Step 2 — Root-cause (hypothesis, then evidence)
Work from symptom back to cause; don't pattern-match a fix onto the error message.
- Read the failing path — the actual code, not just the stack trace.
- List 3–5 ranked hypotheses before probing any — a single hypothesis anchors on the first plausible idea. Each must be falsifiable: "if X is the cause, then Z will show W." No prediction = a vibe; sharpen it or drop it. Show the user the ranked list, but don't block on a reply.
- Probe the top one. Confirm with evidence: a log line, a debugger/print
probe, a minimal experiment — the hypothesis must predict something
you then observe. Tag every probe line with a unique prefix (e.g.
[DEBUG-a4f2]) so cleanup is a single grep. - Wrong? Cross it off, log what was ruled out, move down the list. Two dead hypotheses → step back: re-read the repro, question an assumption, or bring the user the map of what's been ruled out. Grinding the same theory harder is not investigation.
No shotgun fixes: changing several things at once until the symptom stops proves nothing and usually hides a second bug. One hypothesis, one change, one observation.
Step 3 — Fix, test-first
- Write the failing test that captures the bug — it should fail for the bug's exact reason, at the root-cause layer (unit test at the broken function beats an end-to-end flake).
- Apply the minimal fix for the root cause. Not the refactor the code
deserves, not the defensive
try/exceptaround the symptom — the cause. - Test green, then the full suite green (the fix must not buy one green at the cost of another).
Three straight failed fix attempts is a spiral, not progress. Stop editing code: the "confirmed" root cause is now in doubt, so return to Step 2's hypothesis list, name the assumption that might be wrong, and run one discriminating probe (or ask one diagnostic question) before the next attempt. (Step 2's two-dead-hypotheses rule governs probing; this one governs fixing — they don't share a counter.)
If the minimal fix keeps growing — touching many files, changing behavior,
demanding design decisions — stop and say so: this is a feature wearing a
bug costume. Hand off to /feature with the diagnosis as its input; the
root-cause work is not wasted, it's the spec's first paragraph.
Step 4 — Prove and record
- Re-run the original reproduction from Step 1 — show before/after output. This is the proof; the new test alone is not (it might test the wrong thing).
- Quick blast-radius check: who else calls the changed code? Any caller relying on the old (broken) behavior gets flagged, not silently re-broken.
- Strip instrumentation:
grepfor the[DEBUG-tag from Step 2 — tagged probes die in one sweep; untagged ones survive review. - Append one line to
out/dev/bugfix-log.md(create it if missing; date viadate +%F):
| Date | Symptom | Root cause | Fix | Test |
|------|---------|-----------|-----|------|
| 2026-07-05 | login 500 on empty password | None reaches bcrypt in auth.py | guard + 400 | test_auth.py::test_empty_password |
- Commit per the repo's convention, with a message naming the root cause, not just the symptom. For anything beyond a trivial diff, offer the done gate before shipping. (In auto mode — under the autopilot skill — the commit and the done gate run without asking; anything that would need the user's ruling parks instead.)
Guardrails
- Repro first, always. No reproduction → no code changes, no exceptions.
- Cause, not symptom. Never suppress the error (swallowed exception, widened timeout, retry loop) unless the user explicitly chooses that trade-off — and then log it as suppression, not a fix.
- Never weaken tests. Deleting/loosening an assertion to get green is a new bug. An existing test blocking the fix is information for the user.
- Minimal diff. Improvements spotted along the way are mentioned, not bundled — a bugfix diff should read as exactly one repair.
- Honest log. The bugfix log records what the cause was, even when embarrassing — it's the cross-run memory that makes bug #3 in the same module a 5-minute fix.