Pasteurize

/pasteurize

Use this process for hard bugs.

Discipline

Iron Law: Build a reliable feedback loop before you form one hypothesis.

Stop at each red flag:

• You name a cause before the loop reproduces the failure.
• You accept an unrelated failure as the reproduction.
• You add a test at a mocked seam because the real seam is difficult.
• You make a fourth fix attempt on the same hypothesis list.
• You report a clean worktree without the session-tag sweep.

Follow code-intelligence-routing.md when you explore code. Resolve the specification store with artifact-path specs. Read the notes about the failed seam from the resolved directory.

Read harness-portability.md for portable tool use. Use bundled or repository helpers before ${CLAUDE_SKILL_DIR}. Treat ${CLAUDE_SKILL_DIR} as an optional host fallback. Use the handoff blocks as the portable contract. Remember that slash commands are host renderings, not the control model.

Inputs

<input> is the reported symptom. Accept a bug report, a stack trace, failing test output, or an artifact path. Accept an investigation request from Affinage, Cheese, or Cook.

An investigation request uses these fields:

Accept these flags:

• --auto runs the phases without the two questions.
• --open-pr reaches Plate through Cook.
• --hard reaches the final Hard-cheese gate through Cook.

Forward --open-pr and --hard to every /cook and /mold command. Do not drop a flag that the caller supplied.

Cheese can supply handoff_context.wiki_hits. Each hit has a page, a line, and a why field. Read each hit before Phase 1. Name any hit that changes the hypothesis ranking.

A request with mode: investigate stops after Phase 2. Return reproduced, not-reproduced, or inconclusive to the source skill. Do not start Phase 4 for an investigation request.

Phase 1: Build the feedback loop

Build a fast and reliable pass-or-fail feedback loop before you diagnose the bug. This feedback loop controls every later phase.

Read references/feedback-loops.md for the ordered loop options. Select the first option that reaches the failed seam.

Improve the loop before you continue.

• Reduce setup and unrelated initialization.
• Check the exact symptom.
• Control time, random values, files, and network access.

Non-deterministic bugs

Increase the reproduction rate above 50 percent. Repeat the trigger. Add stress. Narrow the timing window. Add a controlled delay.

No usable loop

Stop when you cannot build a usable loop. List each method that you tried. Request access to the reproduction environment. Alternatively, request a captured artifact or permission for temporary production instrumentation. Write a status: needs-context: <the access you need> handoff slug. The orchestrator retries this run after it supplies the access. Do not form hypotheses without a loop.

Confirm these conditions before Phase 2:

• The loop gives the same result each time.
• A flaky loop reproduces the bug more than 50 percent of the time.
• One command runs the loop without human action.
• The loop checks the exact reported symptom.
• The loop completes in less than 30 seconds.

Aim for a loop that completes in less than five seconds.

Phase 2: Reproduce the bug

Run the loop five times.

python3 skills/pasteurize/scripts/pasteurize.pyz repro-rerun \
  --cmd "<repro-command>" --runs 5 \
  --expect-output "<expected failure text>" --threshold 0.5 --timeout 30

Always name the expected failure mode. Use --expect-output for a failure with known output. Use --expect-exit for a failure with a known exit code. Confirm that the result contains reproduced: true. Confirm that matches equals runs for a deterministic bug. Read the results list and confirm each matched run. Increase --runs when five runs do not reproduce a flaky bug. Do not continue until the loop reproduces the expected failure. Do not accept an unrelated failure as a reproduction.

Symptom gate

Classify the symptom before you form hypotheses.

• Continue at the current model tier for a clean stack trace and a reliable loop.
• Upgrade the model tier for races, cross-module failures, performance regressions, or Heisenbugs.

Use the harness command for the model upgrade. For Claude, use /model opus. Then use /effort. Use the named equivalent for Codex or OMP. Use a generic model upgrade on other hosts.

Phase 3: Form hypotheses

Write three to five ranked hypotheses before you test one. State a testable prediction for each hypothesis. Discard a hypothesis when you cannot state its prediction.

Use this format:

If <X> causes the bug, then <changing Y> removes it or <changing Z> makes it worse.

Show the ranked list through handoff-gate.md. Domain knowledge can change the ranking. Continue with your ranking when the user is unavailable or uses --auto.

Phase 4: Add instrumentation

Map each probe to one Phase 3 prediction. Change one variable at a time.

Use tools in this order:

1. Use a debugger or REPL when the environment supports it.
2. Add targeted logs at boundaries that distinguish hypotheses.
3. Do not log all data and search it later.

Select one session tag for this investigation, such as a4f2. Prefix each temporary log with the exact token [DEBUG-a4f2]. Record the session tag in the handoff slug. Use the session tag to find every temporary log during cleanup.

For performance regressions, measure a baseline before you change code. Use a timing harness, profiler, or query plan. Then bisect the failed range.

Phase 5: Fix the bug

Add the regression test before the fix. Only add the test when a correct test seam exists.

A correct seam exercises the real bug at its actual call site. It uses the real data path and failure mode. A shallow or mocked seam gives false confidence.

Treat a missing seam as an architectural finding. Record it in the handoff slug. Write the applicable early-stop status. Set next: mold. Do not add a test at an incorrect seam.

When a correct seam exists, complete these steps:

1. Convert the minimum reproduction into a failing test at that seam.
2. Run the test and observe the failure.
3. Apply the smallest production change that can fix the failure.
4. Run the test and observe success.
5. Run the original Phase 1 loop and confirm that the symptom is absent.

Revert an unsuccessful fix before the next attempt. Stop after three unsuccessful fix attempts. Return to Phase 3. Write a new ranked hypothesis list. Do not make a fourth attempt without a new hypothesis.

Restart at Phase 4 when you find a new hypothesis. Otherwise, write the fix-attempts-exhausted status. Then set next: mold.

Leave broader changes for /cook. Record those changes in the handoff slug.

Phase 6: Clean the worktree

Complete this checklist before you write the handoff slug:

• Run the original loop and confirm that the bug is absent.
• Run the regression test and confirm success.
• Record the missing test seam when no correct seam exists.
• Remove all [DEBUG-...] instrumentation.
• Delete temporary harnesses and prototypes.
• Record any retained debug file in the slug.
• Record the confirmed hypothesis in the slug.

Run the instrumentation sweep with your session tag:

python3 skills/pasteurize/scripts/pasteurize.pyz debug-tag-sweep \
  --session-tag a4f2 --changed-only --root .

--session-tag matches the exact token [DEBUG-a4f2]. --changed-only scans the files that this worktree changed. The sweep excludes tool output such as .cheese/, caches, and run logs. Exit status 0 means that the sweep found no tags. Exit status 1 means that the sweep found listed tags. Remove each listed tag before you continue. Do not use the broad --tags scan to certify a clean worktree.

Identify what could prevent this bug. Record necessary architectural work in the slug. Make this recommendation after you apply the fix.

Hand the completed slug to /cook <slug> --auto. Cook checks the existing diff and runs the press -> age -> cure chain. Pasteurize does not commit changes or open pull requests.

Fan-out sizing

/pasteurize currently starts no agents. size_pasteurize_fanout() defines a future policy in src/easy_cheese/shared/fanout/pasteurize_route.py.

The policy reads review_surface descending across the suspect range from the last known good revision to HEAD. A lower evidence score produces more agents because it represents a larger search space.

A score of 250 defines a tight range.

A reviewer reasoned these constants. Runs have not measured them. Reviewer thresholds use 30 repository commits. These constants have no run history. Keep the named constants adjustable. Review them when real runs exist.

Bundle-only hosts can call the policy with this command:

python3 skills/pasteurize/scripts/pasteurize.pyz pasteurize-route <request.json>

The command reads JSON and writes JSON. It follows the age-route bundle convention.

Preferred tools

Continue diagnosis when an optional tool is unavailable.

Output

Return a short report with these items:

• The named cause and its confidence.
• The loop command and the observed result.
• The considered hypotheses and the confirmed hypothesis.
• The regression test path.
• The changed production lines.
• The instrumentation and temporary file cleanup status.
• The next command, /cook <slug> --auto.

Use <certain>, <speculating>, or <don't know> for confidence.

Handoff slug

Write the handoff slug to .cheese/pasteurize/<slug>.md. Use this minimum form:

status: <canonical status field>
next: cook | mold | done
artifact: <path-to-richer-report-if-any>
<one-line orientation: what pasteurize confirmed>

cause: <one-sentence named cause>
loop: <command or repro path>
session_tag: <the Phase 4 session tag, or "none">
seam: <regression-test path:line, or "none — architectural follow-up">
fix: <production diff footprint, e.g. "src/foo.ts:42">
follow_up: <architectural follow-up note, or "none">

Keep the orientation on line four. The parser reads status, next, and artifact before the orientation. It reads no other keyed line in the preamble. Put every diagnostic field in the body after one blank line. Use artifact for the richer report, not for the diagnosis. Follow the handback contract.

Use these statuses:

The orchestrator ignores next: after halt. Do not name a route in a halt slug.

Set next: cook for the standard chain. Set next: mold when the diagnosis requires an architectural specification. Set next: done when an external cause needs no repository change.

Handoff

Pipeline: cheese -> pasteurize -> cook --auto -> press -> age -> cure -> plate

After you write the report and slug, present these options through handoff-gate.md:

• Validate and continue: /cook <slug> --auto.
• Validate without the automatic chain: /cook <slug>.
• Specify the architectural work: /mold <slug>.
• Stop: Leave the fix in the worktree.

Recommend the first option for status: ok. Do not start an option without the user's selection. Skip this question in --auto mode.

Auto mode

--auto skips the Phase 3 ranking question. It also skips the Phase 6 handoff question. It starts /cook <slug> --auto after cleanup. It does not skip Phase 4 or Phase 5.

Early-stop conditions

Stop for any of these conditions:

• Phase 1 cannot produce a usable loop.
• Two Phase 3 rounds disprove all hypotheses.
• Phase 5 finds no correct regression-test seam.
• The minimum fix breaks an unrelated test outside the pasteurize scope.
• Three unsuccessful fixes exhaust all hypotheses.

For a missing seam, write status: ok-with-concerns: no correct regression-test seam. For exhausted fixes, write status: ok-with-concerns: fix attempts exhausted — architectural re-examination needed. Set next: mold for both conditions. For missing reproduction access, write status: needs-context: <the access you need>. Always write the slug and show the report. Do not replace evidence with a best guess.

Rules

• Do not skip Phase 1.
• Do not form hypotheses without a reproduction loop.
• Change only the regression test and the minimum production code in Phase 5.
• Remove every [DEBUG-...] tag before handoff.
• Do not claim that Pasteurize ships the change.
• Use this completion claim: "cause named, regression green, fix in tree, ready for chain".
• Record an architectural gap in the slug.

References

• Generated bundle commands: references/commands.md.