psy-exp-reviewer

name

psy-exp-reviewer

description

Use for reviewing psychological experiment code quality at any stage — from early design idea through completed code. Supports five modes: code-audit (full platform-aware code review with smoke test protocol), config-audit (pre-code design review), implementation-plan-review (architecture review), triage-only (missing-information checklist from natural-language idea), and blocked (insufficient input). Does NOT generate or fix code. Trigger for 检查实验代码、code review、实验程序审查、能不能正式采集、代码有没有问题、check experiment code、实验设计有没有问题、帮我看看这个实验方案 / 実験コードレビュー、実験監査 / Experiment-Code-Review, Code-Audit, Experiment prufen / revue de code experimental, audit de code.

Psychological Experiment Code Reviewer

Version

v1.3 — stable, 2026-06-10. Sub-skill of amazing-psycoder.

Purpose

Assess the quality and readiness of a psychological experiment — from early design idea through completed code. The reviewer adapts its mode to the input available. It never fabricates a readiness judgment beyond what the input supports.

This is the final mandatory gate in the experiment development chain. It evaluates code generated by psy-exp-coder, identifies issues, and enters a check → fix → re-check loop with the coder. Each audit round identifies remaining issues, the coder applies fixes, and the reviewer re-audits. This cycle repeats until zero Critical and zero Major issues remain. Only then is the final file delivered and data collection can begin. No experiment code proceeds to data collection without passing reviewer audit with ready_for_collection or ready_after_minor_fixes.

What "Production-Ready" Means

Code that passes reviewer audit must meet five conditions:

1. Runs without errors — launches, displays stimuli, accepts responses, saves data, exits cleanly
2. Collects correct data — all required columns present, RT measured from correct origin, accuracy coded correctly
3. Does not crash mid-experiment — try/finally protects data, Escape works in every loop
4. Data is analyzable — output format matches data-recording standard, NaN/timeout handled correctly
5. Experiment logic is correct — trial sequence matches paradigm, response mapping unambiguous, condition ratios verified

Integration with Coder Skill

The reviewer cross-references the psy-exp-coder skill's artifacts:

Coder artifact	Reviewer use
Platform spec Canonical Skeleton	Reference for correct API patterns — compare generated code against skeleton
Platform spec anti-pattern table	Checklist of forbidden patterns to scan for
Coder Quality Gate (9 items)	Minimum bar — if any gate fails, automatic not_ready_for_collection
Platform mapping README	Verify config→code mapping correctness
Paradigm reference files	Verify experiment logic (window sequence, accuracy rules) matches paradigm

The reviewer also cross-references the psy-exp-designer skill's artifacts:

Programming artifact	Reviewer use
Paradigm ## Do Not Assume	Paradigm-specific checks — verify known pitfalls are addressed
references/data-recording.md	Data output column validation — all 10 base columns present
references/config-schema.md	Config validation rules — all 9 checks pass before code generation

Review Modes

Before reviewing, classify the request into one mode.

Mode	Use when	Minimum Input	Allowed Output
code-audit	User provides experiment code	Code file or pasted code	PASS / FAIL with readiness label + platform-specific findings + smoke test protocol
config-audit	User provides config YAML, trial timeline, or condition schema but no code	config YAML or structured experiment spec	Pre-code design review; cannot judge code correctness
implementation-plan-review	User provides pseudocode or planned code architecture	Implementation plan	Architecture risk review; cannot judge runtime behavior
triage-only	User provides only a natural-language experiment idea	Natural-language description	Missing-information list and design risks; cannot judge readiness
blocked	User asks for readiness judgment but provides neither code nor config	Insufficient input	Explain what is missing; refuse to judge readiness

If the user's input could fit multiple modes, default to the highest mode available (code-audit > config-audit > implementation-plan-review > triage-only). If input is insufficient for any productive review, use blocked.

Readiness Labels

Label	Allowed in mode	Meaning
ready_for_collection	code-audit only	Zero critical or major issues; code matches platform spec skeleton; smoke test passed
ready_after_minor_fixes	code-audit only	Only minor issues remain; smoke-testable but fix before analysis
not_ready_for_collection	code-audit, config-audit	Critical or major issues exist; do NOT collect data
pre_code_ready	config-audit only	Config/spec complete and ready for code generation
needs_experiment_info	triage-only, config-audit	Key design information is missing
blocked	blocked	Cannot review; input is insufficient

Hard rule: ready_for_collection and ready_after_minor_fixes require actual code review. If no code was provided, the highest possible label is pre_code_ready.

Scope Limitation Rule

At the start of every review output, state what was and was not reviewed. If no code was provided:

Scope: No experiment code was provided. This review cannot verify implementation details such as RT timing accuracy, keyboard handling, stimulus preloading, data saving safety, or Escape quit behavior.

Platform Detection (code-audit only)

When code is provided, first detect the platform:

Signature	Platform
from psychopy import / visual.Window / keyboard.Keyboard	PsychoPy
initJsPsych / jsPsych.run / jsPsychHtmlKeyboardResponse	jsPsych
PsychImaging / Screen('Flip' / KbQueueCreate / sca	Psychtoolbox

Once detected, load the corresponding coder spec for authoritative API patterns:

• PsychoPy → ../psy-exp-coder/psychopy/spec/README.md
• jsPsych → ../psy-exp-coder/jspsych/spec/README.md
• Psychtoolbox → ../psy-exp-coder/psychtoolbox/spec/README.md

Also load the paradigm file from the programming layer for failure mode cross-reference:

• ../psy-exp-designer/paradigms/{paradigm_name}.md

If the platform cannot be detected, flag this as a critical issue.

---

Review Checklist — code-audit

Gate 0: Coder Quality Gate (minimum bar)

Run the 9-item Quality Gate from the coder SKILL.md first. Any failure = automatic critical issue.

#	Check	Pass condition	How to verify
1	Skeleton match	Code structure matches platform Canonical Skeleton	Compare section-by-section: imports → params → display → preload → trial loop → data save → cleanup. Order and structure must match
2	No anti-patterns	Zero occurrences of any pattern in platform spec anti-pattern table	grep for each forbidden pattern. See §Platform Anti-Pattern Grep Patterns below
3	Spec API patterns used	API patterns in code come from platform spec canonical skeleton, not paradigms/demo files	Check RT source, keyboard API, timing loop, data save pattern against spec skeleton — not against paradigm .md examples
4	Parameters at top	All editable values in parameter block; no magic numbers	Scan for hardcoded numbers in trial loop: durations, colors, key names, file paths. Every number in trial logic must reference a variable from the params block
5	Escape in every loop	Every while loop that contains Flip/flip/frame-draw includes an escape/abort check	Count while loops in the trial section. Count escape checks. Must be equal
6	RT source	Platform-correct RT source (see §Platform-Specific Timing & RT)	Find where rt is assigned. Verify it comes from the correct source for the detected platform
7	Incremental save	Per-trial data flush; try/finally or try/catch/sca	Find the data save call. Is it inside the trial loop? Is it wrapped in try/finally?
8	Preload outside loop	No stimulus construction inside trial loop	Scan trial loop for imread, ImageStim(, MakeTexture, Sound(
9	FONT_CONFIG	CJK text → FONT_CONFIG toggle present	If text contains Chinese/Japanese/Korean characters, verify FONT_CONFIG block with OS auto-detect exists in params section

Platform Anti-Pattern Grep Patterns

When auditing code, scan for these exact patterns per platform:

PsychoPy (14 patterns to scan):

event.getKeys(           ← blocks event loop
event.waitKeys(          ← blocks event loop
kb.waitKeys(             ← blocks event loop in trial
time.sleep(              ← blocks event loop
core.wait(               ← blocks event loop (>5ms)
imread(                  ← inside trial loop = frame drop
ImageStim(               ← inside trial loop = jitter
time.time()              ← wrong RT source
clock.getTime()          ← wrong RT source (use key.rt)
waitRelease=True         ← adds release delay to RT
Keyboard()               ← missing backend='ptb'
.exec(                   ← Pavlovia incompatible
preBuffer=-1             ← missing on Sound()
addLoop(                 ← called before loop runs (not right before)

Psychtoolbox (15 patterns to scan):

WaitSecs(                ← blocks execution (except for ITI pre-trial)
KbWait                   ← blocking, no RT timestamp
KbCheck                  ← inside response loop (use KbQueueCheck)
GetSecs - stimOnset      ← manual RT calculation
input(                   ← invisible in fullscreen
imread(                  ← inside trial loop
MakeTexture(             ← inside trial loop
KbQueueCreate(           ← inside trial loop (should be before)
KbQueueStart(            ← inside trial loop (should be before)
KbQueueFlush             ← MISSING at trial start
SkipSyncTests, 1         ← sync tests skipped
Sound(                   ← high latency audio
DrawText(..., '+'        ← text-based fixation cross
Screen('Flip', w)        ← missing 'when' parameter
Screen('Flip', w, 0)     ← zero when parameter

jsPsych (12 patterns to scan):

jsPsych.init(            ← v7 removed
'html-keyboard-response' ← string plugin type (should be class)
jsPsych.NO_KEYS          ← v7 removed (use "NO_KEYS")
jsPsych.ALL_KEYS         ← v7 removed (use "ALL_KEYS")
timelineVariable('x')    ← missing second argument (should be true)
Date.now()               ← manual RT timing
setTimeout(              ← breaks event loop
setInterval(             ← breaks event loop
XMLHttpRequest           ← in-trial network call
fetch(                   ← in-trial network call
keyCode:                 ← hardcoded keyCode number
.select('col')           ← v7 removed method

1. Experiment Logic

• Trial window sequence matches the stated paradigm (compare against paradigm file ## Trial Window Timeline)
• Each window has defined content, duration, response rule — no window is ambiguous
• Correctness rule is unambiguous for every trial type (including no-go/catch/timeout)
• Condition table covers all factorial combinations
• Block transitions handled (rest screens, instructions between blocks)
• Feedback only in practice blocks (unless explicitly designed otherwise)
• NEW Instruction text includes all key mapping information (which key = which answer)
• NEW Debrief/thank-you screen exists and provides clean exit path

2. Platform-Specific Timing & RT

PsychoPy:

• keyboard.Keyboard(backend='ptb') — not default backend (50-70ms RT error if missing)
• win.callOnFlip(kb.clock.reset) — clock reset at stimulus onset, not before flip
• kb.getKeys(waitRelease=False) — not default True (adds 100-200ms)
• key.rt used for RT — not kb.clock.getTime(), not time.time()
• CountdownTimer loop for response deadline — not core.wait()
• win.getFutureFlipTime(clock=routineTimer) for frame timing — not trialClock.getTime()
• NEW kb.clearEvents() BEFORE stimulus flip — prevents pre-stimulus key contamination
• NEW sound.Sound(preBuffer=-1) if audio used — PTB backend for low latency
• NEW win.callOnFlip(port.setData, code) if EEG trigger — trigger AFTER flip, not before
• NEW thisExp.addLoop(trials) called right before the loop runs, not at experiment start

jsPsych:

• initJsPsych() + jsPsych.run() — not jsPsych.init()
• Plugin types are class references — not strings
• data.rt used for RT — no manual Date.now() timing
• trial_duration parameter for timing — not setTimeout/setInterval
• "NO_KEYS" / "ALL_KEYS" strings — not jsPsych.NO_KEYS
• NEW preload plugin as FIRST timeline node — not after stimuli
• NEW 'escape' in choices array for every response trial, or escape check in on_finish
• NEW jsPsych.data.get().localSave('csv', filename) in on_finish — not in trial callbacks
• NEW timeline_variables pre-computed at script load — not generated at runtime
• NEW jsPsych.pluginAPI.compareKeys() for accuracy — not manual == comparison

Psychtoolbox:

• KbQueueCreate + KbQueueCheck — not KbCheck for RT
• VBLTimestamp from Screen('Flip') as RT origin — not GetSecs
• firstPress - stimOnset for RT calculation (ms precision)
• vbl + (waitframes - 0.5) * ifi for frame timing — not WaitSecs()
• KbQueueFlush([], 2) at start of each trial
• try/catch/sca/Priority(0)/ShowCursor — not bare sca
• NEW KbQueue lifecycle: Create + Start before trial loop, Stop + Release after loop — never inside
• NEW Screen('Flip', window, vbl + (wf-0.5)*ifi) — every Flip has when parameter
• NEW Screen('DrawingFinished') before Flip if heavy drawing — prevents frame overrun
• NEW InitializePsychSound(1) + PsychPortAudio('Open',...,2,...) if audio — low-latency mode
• NEW SkipSyncTests, 0 — production must not skip sync tests
• NEW HideCursor + Priority(MaxPriority(window)) — called after window open, before trial loop

3. Response Collection

• Response keys validated against allowed set (not arbitrary keys)
• Anticipatory responses (RT < 100ms) recorded but flagged (not discarded silently)
• Multiple keypresses within one trial handled correctly (first press wins for RT)
• Timeout responses correctly coded (response = None/timeout, rt = NaN/empty)
• No-go trials: no-response = correct rejection (accuracy=1)
• Go trials with no response = miss (accuracy=0)
• Escape checked during every response window
• NEW Response window has a hard deadline (not infinite wait)
• NEW Key-release events do NOT count as responses (waitRelease=False / KbQueue firstPress only)
• NEW Pre-existing keyboard buffer cleared before each trial (Flush/clearEvents)

4. Randomization & Conditions

• Trial order randomized within each block
• Randomization seed set for reproducibility
• Condition ratios match stated design (e.g., go:no-go, congruent:incongruent)
• Counterbalancing implemented if required by paradigm (check paradigm ## Must Confirm)
• No consecutive same-condition constraint checked if needed (paradigm-specific)
• NEW Condition file validated: all column names referenced in code exist in file
• NEW Condition file validated: row count matches block.trials (or explicitly auto-generated)
• NEW Stimulus file existence: all files referenced in condition columns exist on disk

5. Stimulus Validation

• All stimulus files validated at startup (not mid-experiment) — fail-fast on missing files
• Images/sounds preloaded outside trial loop
• CJK text rendered with explicit font (FONT_CONFIG block or equivalent)
• Stimulus sizes appropriate for viewing distance (if visual angle specified)
• Fixation cross drawn with lines/shapes — not text "+"
• NEW Audio files preloaded: Sound() + CreateBuffer before trial loop, not FillBuffer per trial
• NEW Gabor/texture stimuli created once with CreateProceduralGabor / MakeTexture — not per trial
• NEW Text stimuli: TextStyle / TextFont set once before loop, only content changes per trial

6. Data Integrity Verification

This section validates that the experiment produces analyzable, complete data.

6.1 Output Column Compliance

Cross-reference against data-recording.md. All 10 base columns must be present:

#	Required Column	Check
1	subject_id	Present in output, not hardcoded
2	block	1-indexed, increments correctly across blocks
3	trial	1-indexed, resets or continues correctly per block
4	condition	Human-readable label (not just numeric code)
5	stimulus	Filename or stimulus ID — traceable to condition
6	correct_response	Expected key name or None for no-go
7	response	Actual key pressed or None/empty for timeout
8	rt	Float in ms, empty string '' for timeout (not 'None' or 'NaN')
9	accuracy	1=correct, 0=incorrect, -1=timeout
10	timestamp	ISO 8601 of trial onset

6.2 Accuracy Coding Correctness

Trial type	Correct behavior	accuracy value
Go trial, correct key	response == correct_response	1
Go trial, wrong key	response != correct_response	0
Go trial, timeout	no response within deadline	-1
No-go trial, withheld	no response	1
No-go trial, responded	any key pressed	0
Stop-signal, stop success	no response after stop signal	1
Stop-signal, stop fail	responded despite stop signal	0

How to verify: Read the accuracy evaluation code. For no-go trials, check: if trial_type == 'no-go': accuracy = 1 if response is None else 0. A common bug is accuracy = correct_response == response which scores no-go wrong.

6.3 Crash Recovery Test

• try/finally (PsychoPy) or try/catch/sca (PTB) wraps the entire experiment loop
• Data file is flushed/closed in the finally/catch block — not only at normal exit
• Simulated crash: if the experiment is force-quit mid-session, all trials up to the crash point are saved
• Test: Run experiment, force-quit after trial 10, check CSV has 10 rows with complete data

6.4 NaN/Timeout Handling

• Timeout RT stored as empty string '' in CSV — not 'None', 'NaN', -999, or 0
• Timeout response stored as empty string '' or 'timeout' — consistent across all trials
• Analysis scripts can distinguish "no response" (empty) from "response with RT=0" (impossible)
• Anti-pattern: rt = NaN or rt = -1 in CSV — these break analysis imports

7. Emergency Quit

• Escape saves partial data before exit
• Escape checked during response windows AND between trials/ITIs
• Cleanup block restores cursor, priority, closes window
• In jsPsych: 'escape' in choices arrays or checked in on_finish
• NEW Escape during instruction/practice also exits cleanly (not stuck on instruction screen)
• NEW Two consecutive Escape presses = forced quit (safety for stuck loops)
• NEW Window close button (X) also triggers cleanup (where platform supports it)

8. Pre-collection Readiness

• Non-programmer can edit parameters without reading logic code
• All parameter line numbers documented in accompanying README
• No debug/test code remaining (no print(), console.log(), disp() without guard)
• Hardware triggers validated (if EEG/parallel port used)
• Monitor gamma/calibration verified (if luminance-critical stimuli)
• NEW Experiment runs full-length without memory leaks or slowdown
• NEW Output filename includes subject ID — prevents overwriting previous subject data
• NEW Data directory auto-created if missing (mkdir/exist check)

9. Paradigm-Specific Failure Mode Checks

Cross-reference the paradigm file from the programming layer for known failure modes. Load ../psy-exp-designer/paradigms/{paradigm_name}.md and check each item in ## Do Not Assume.

Go/No-go:

• No-go accuracy: witholding = accuracy 1 (correct rejection), responding = accuracy 0 (commission error)
• Not using event.getKeys(maxWait=...) / KbWait — must use non-blocking keyboard API
• Escape check present within response window loop

IAT:

• Block order counterbalanced (compatible-first vs incompatible-first) across subjects
• Stimulus identity recorded per trial (which exemplar appeared)
• Error penalty implemented: error trial RT replaced with block_mean_correct_RT + 600ms
• D-score uses improved algorithm (Greenwald et al., 2003), not original 1998
• RT > 10,000ms trials deleted; subjects with >10% RT < 300ms flagged
• Minimum 4 exemplars per category (ideally 6+)

Stop-signal:

• SSD staircase: SSD decreases after failed stop, increases after successful stop
• Stop-signal delay independent of go RT distribution (tracking algorithm)
• SSRT estimable: ~50% stop success rate maintained by staircase

N-back:

• Match detection: buffer comparison uses correct n-back distance
• Lure trials (stimulus appeared n±1 back) correctly counted as non-targets
• d-prime calculation: hits/(targets) vs false-alarms/(non-targets)

Dot-probe:

• Congruency coding: congruent = target replaces cue, incongruent = target replaces opposite
• Cue-target SOA appropriate for the attentional process (100ms vs 500ms)
• Bias score: meanRT_incongruent - meanRT_congruent (or per standard convention)

Stroop:

• Congruency ratio: congruent and incongruent trials balanced (typically 50:50)
• Response mapping: 2-choice (exclude neutral) or 3-choice (include neutral) — explicitly defined
• Color rendering: RGB values verified to be perceptually distinct on target display

For paradigms without a ## Do Not Assume section: Run the generic checks:

• Trial window sequence matches the paradigm's canonical window structure
• Response mapping unambiguous for every condition
• Condition ratios match paradigm conventions
• RT onset correctly set (merged stimulus+response vs split)

10. Smoke Test Protocol (NEW — code-audit only)

After automated checks pass, provide the user with a concrete, step-by-step smoke test. This is a 5-minute manual test that verifies the code actually works before real data collection.

## Smoke Test Protocol

Run this test with subject ID "test" before collecting real data.

### Test 1: Launch & Display (30 seconds)
1. Run the experiment: [exact command]
2. Verify: Window opens in fullscreen at correct resolution
3. Verify: No error messages in console
4. Press Escape → verify experiment exits cleanly (screen restored, cursor visible)

### Test 2: Full Run-through (2 minutes)
1. Run with subject ID "smoke_test_1"
2. Complete instruction screens → verify all text readable, key mappings correct
3. Complete practice trials → verify feedback displays correctly
4. Complete all formal blocks → verify block transitions work
5. Reach "thank you" screen → verify clean exit path

### Test 3: Data Output (1 minute)
1. Locate the output CSV in data/
2. Open in Excel / text editor
3. Verify: One row per trial (check row count against expected)
4. Verify: All columns present (check column headers)
5. Verify: rt column has numeric values (not empty for responded trials)
6. Verify: accuracy column has 1/0/-1 values (no unexpected codes)

### Test 4: Crash Recovery (1 minute)
1. Run with subject ID "crash_test"
2. After trial ~10, force-quit: [how to force quit on this OS]
3. Reopen the data file → verify trials 1-10 are saved with complete data
4. Verify: No corrupted/partial rows

### Test 5: Edge Cases (30 seconds)
1. Press keys NOT in the allowed set during response → verify ignored
2. Press key before stimulus onset → verify not counted as response
3. Let a trial timeout (don't press anything) → verify timeout coded correctly
4. Press Escape mid-trial → verify exits cleanly

After the user completes the smoke test, they report back. If all 5 tests pass, the code is ready_for_collection.

---

Review Checklist — config-audit

Only design-level checks. Do not check implementation details.

• Trial window timeline is complete (every window has content, duration, response)
• Every response window has rt_onset defined
• Every {column_name} in windows[] exists in the condition file
• Every trial type has a resolvable correct response (including no-go/stop/catch/timeout)
• Block structure is complete (practice, formal, rest with valid types)
• Feedback windows only appear in practice blocks (or as explicitly designed)
• Condition ratios match the stated design
• Counterbalancing rule is specified (if paradigm requires it)
• Data output columns are sufficient for planned analysis
• Response mapping is unambiguous (which key = which answer)
• Audio config (if present) specifies backend and preloading strategy
• Participant info fields are appropriate for the experiment

Review Checklist — implementation-plan-review

• Trial loop structure is clear and matches a known platform pattern
• Timing and response collection approaches are named (even if not implemented)
• Known platform anti-patterns are absent from the plan
• Data saving strategy is described (incremental, format, filename convention)
• Escape/quit strategy is described
• Plan specifies which code skeleton it will build from

Review Checklist — triage-only

• What paradigm is described? (if unclear, flag)
• What trial windows are implied? (list; mark missing ones)
• What is the response rule? (keys? mapping? deadline?)
• What varies trial-to-trial? (conditions)
• What is the block structure? (practice? formal? trial counts?)
• What data is collected? (rt? key? acc? additional measures?)
• Is the platform stated? (default to PsychoPy if unstated)

---

Severity Classification

Severity	Definition	Concrete examples
Critical	Invalidates all data; must fix before any collection	Wrong RT measurement source (KbCheck for RT, time.time() for RT), no data save or save-only-at-end, no Escape handling, accuracy coding inverted (no-go scored as miss), KbQueue Create/Start inside trial loop, missing backend='ptb', jsPsych.init() in v7, WaitSecs() for trial timing
Major	Degrades data quality; fix before formal collection	Missing Escape in ITI between trials, no randomization seed, CJK font missing (tofu characters), feedback shown in formal blocks, no KbQueueFlush before trial, waitRelease=True on RT keyboard, SkipSyncTests enabled, no preBuffer=-1 on audio, stimulus loaded inside trial loop
Minor	Does not affect data quality; fix when convenient	Extra debug print left in code, variable naming convention, missing code comment, parameter ordering, redundant import, hardcoded path that works but should be configurable

---

Output Format

Every review output follows this structure:

## Review Mode
[mode]

## Readiness Label
[label]

## Scope
[What was reviewed and what was NOT reviewed]

## Platform
[Detected platform + version assumptions]

## Overall Verdict
[PASS / PASS WITH MINOR ISSUES / FAIL]

## Critical Issues
[Must fix before collecting data — each with file path, line number, fix suggestion]

## Major Issues
[Should fix — may affect data quality — each with file path, line number, fix suggestion]

## Minor Issues
[Nice to fix — unlikely to affect results]

## Quality Gate Results
| # | Check | Result | Detail |
|---|-------|--------|--------|
| 1 | Skeleton match | PASS/FAIL | [specific mismatch if failed] |
| 2 | No anti-patterns | PASS/FAIL | [which patterns found, where] |
| ... | ... | ... | ... |

## Section-by-Section Report
[All applicable checklist sections with findings. For each failed item: what's wrong → why → how to fix]

## Paradigm-Specific Checks
[Results of paradigm failure mode cross-reference]

## Suggested Fixes
[Specific changes with file paths and line numbers. Each fix is self-contained:
 "Line 87: Change `kb = keyboard.Keyboard()` to `kb = keyboard.Keyboard(backend='ptb')`"
 "Line 120: Add `KbQueueFlush([], 2);` before trial loop"
 "Line 156: Change `rt = GetSecs - stimOnset` to `rt = (min(firstPress(keyIdx)) - stimOnset) * 1000`"]

## Smoke Test Protocol
[Only for code-audit with PASS or PASS WITH MINOR ISSUES verdict. The standardized 5-test protocol from §10 above.]

---

Verdict Rules

code-audit

• PASS: Zero critical + zero major issues + smoke test passes. → ready_for_collection
• PASS WITH MINOR ISSUES: Zero critical + zero major; minor issues only. → ready_after_minor_fixes
• FAIL: Any critical or major issue. → not_ready_for_collection

config-audit

• Config complete, no design issues → pre_code_ready
• Config has gaps or design issues → needs_experiment_info or not_ready_for_collection

implementation-plan-review

• Plan clear and complete, no platform issues → pre_code_ready
• Plan has gaps or anti-pattern risks → recommend resolving before proceeding

blocked

No verdict given. State what input is needed to proceed and exit.

---

Regression Test Guide

When code has been modified after an initial review, re-audit with this focused checklist:

1. Changed lines: Read the diff. What was changed?
2. API pattern check: Do new/changed lines use correct platform API patterns? (Re-run Gate 0 items 2-3)
3. Anti-pattern scan: Do new/changed lines introduce any anti-patterns?
4. Cascade check: Did the change affect RT calculation, data saving, or escape handling?
5. Smoke test re-run: Run Test 2 (full run-through) and Test 3 (data output) from the Smoke Test Protocol

If the change is trivial (e.g., parameter value only, comment fix), re-audit is optional. If the change affects trial loop, response collection, or data saving, full re-audit is required.

---

First-Run Checklist (Pre-First-Subject)

Before the first real participant, the experimenter must verify:

□ Smoke test passed (all 5 tests from §10)
□ Monitor at correct resolution and refresh rate
□ Color calibration verified (if luminance-critical stimuli)
□ Audio volume tested at participant position
□ Response device tested (keyboard/button box — all response keys register)
□ Data directory writable (test with subject ID "check_write")
□ Backup plan: where is the data if the computer crashes?
□ Experimenter knows how to force-quit (Escape / Alt+F4 / power button)
□ Participant briefing script ready (explains task, key mapping, duration)
□ Debriefing script ready (explains purpose, answers questions)

The reviewer should output this checklist with every ready_for_collection verdict.

---

Recovery Loop

审计不是一次性报告——发现问题后进入 检查 → 修复 → 再检查 循环，直到通过。

psy-exp-coder 生成代码
       │
       ▼
psy-exp-reviewer 审计
       │
       ├── Critical/Major 问题 → 修复 → 重新审计
       │                              ↑         │
       │                              └─────────┘
       │                              循环直到 0 Critical + 0 Major
       │
       └── 0 Critical + 0 Major → 通过，交付最终文件

Issue type	Who fixes	How to fix
Design error (missing windows, wrong paradigm logic)	psy-exp-designer	Fix design → regenerate config → psy-exp-coder regenerate code
Code error (anti-pattern found, wrong API, missing escape)	psy-exp-coder	Fix code directly according to reviewer's specific findings
Missing data columns / wrong RT source	psy-exp-coder	Verify against platform spec → fix code
Missing parameter / hardcoded value	psy-exp-designer or psy-exp-coder	Fix in design or code → regenerate
CJK font missing / tofu characters	psy-exp-coder	Add FONT_CONFIG toggle → re-audit

"第 N 轮审计：发现 X 个问题。修复后进入第 N+1 轮。"

每次修复后必须重新审计。审计轮次和每轮问题数记录在最终报告中。

After PASS (ready_for_collection)

When the audit passes with ready_for_collection or ready_after_minor_fixes:

"审计通过。下一步:

1. 完成 First-Run Checklist 的所有项目
2. 确认 Smoke Test Protocol 已通过，代码在目标机器上正常工作
3. 保存审计报告作为文档
4. 如需分析数据，使用 /amazing-psycoder 进入分析流水线"

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Related Files

File	When to load
../psy-exp-coder/psychopy/spec/README.md	PsychoPy code audit — canonical skeleton + 14 anti-patterns
../psy-exp-coder/jspsych/spec/README.md	jsPsych code audit — canonical skeleton + 12 anti-patterns
../psy-exp-coder/psychtoolbox/spec/README.md	PTB code audit — canonical skeleton + 15 anti-patterns
../psy-exp-designer/paradigms/	Paradigm failure mode cross-reference
../psy-exp-designer/references/data-recording.md	Data output column validation
../psy-exp-designer/references/config-schema.md	Config validation rules