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---
name: qa
preamble-tier: 4
version: 2.0.0
description: Systematically QA test a web application and fix bugs found. (gstack)
allowed-tools:
- Bash
- Read
- Write
- Edit
- Glob
- Grep
- AskUserQuestion
- WebSearch
triggers:
- qa test this
- find bugs on site
- test the site
---
<!-- generated by scripts/gstack-patch.sh from gstack upstream. Do not edit by hand:
changes are lost on the next scripts/gstack-sync.sh run. -->
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly -->
<!-- Regenerate: bun run gen:skill-docs -->
## When to invoke this skill
Runs QA testing,
then iteratively fixes bugs in source code, committing each fix atomically and
re-verifying. Use when asked to "qa", "QA", "test this site", "find bugs",
"test and fix", or "fix what's broken".
Proactively suggest when the user says a feature is ready for testing
or asks "does this work?". Three tiers: Quick (critical/high only),
Standard (+ medium), Exhaustive (+ cosmetic). Produces before/after health scores,
fix evidence, and a ship-readiness summary. For report-only mode, use /qa-only.
Voice triggers (speech-to-text aliases): "quality check", "test the app", "run QA".
## Plan Mode Safe Operations
In plan mode, allowed because they inform the plan: `$B`, `$D`, `codex exec`/`codex review`, writes to `~/.gstack/`, writes to the plan file, and `open` for generated artifacts.
## Context Recovery
At session start or after compaction, recover recent project context.
```bash
eval "$(~/.gstack/bin/gstack-slug 2>/dev/null)"
_PROJ="${GSTACK_HOME:-$HOME/.gstack}/projects/${SLUG:-unknown}"
if [ -d "$_PROJ" ]; then
echo "--- RECENT ARTIFACTS ---"
find "$_PROJ/ceo-plans" "$_PROJ/checkpoints" -type f -name "*.md" 2>/dev/null | xargs -r ls -t 2>/dev/null | head -3
[ -f "$_PROJ/${BRANCH:-unknown}-reviews.jsonl" ] && echo "REVIEWS: $(wc -l < "$_PROJ/${BRANCH:-unknown}-reviews.jsonl" | tr -d ' ') entries"
[ -f "$_PROJ/timeline.jsonl" ] && tail -5 "$_PROJ/timeline.jsonl"
if [ -f "$_PROJ/timeline.jsonl" ]; then
_LAST=$(grep "\"branch\":\"${_BRANCH}\"" "$_PROJ/timeline.jsonl" 2>/dev/null | grep '"event":"completed"' | tail -1)
[ -n "$_LAST" ] && echo "LAST_SESSION: $_LAST"
_RECENT_SKILLS=$(grep "\"branch\":\"${_BRANCH}\"" "$_PROJ/timeline.jsonl" 2>/dev/null | grep '"event":"completed"' | tail -3 | grep -o '"skill":"[^"]*"' | sed 's/"skill":"//;s/"//' | tr '\n' ',')
[ -n "$_RECENT_SKILLS" ] && echo "RECENT_PATTERN: $_RECENT_SKILLS"
fi
_LATEST_CP=$(find "$_PROJ/checkpoints" -name "*.md" -type f 2>/dev/null | xargs -r ls -t 2>/dev/null | head -1)
[ -n "$_LATEST_CP" ] && echo "LATEST_CHECKPOINT: $_LATEST_CP"
if [ -f "$_PROJ/decisions.active.json" ]; then
echo "--- ACTIVE DECISIONS (recent, scope-relevant) ---"
~/.gstack/bin/gstack-decision-search --recent 5 2>/dev/null
echo "--- END DECISIONS ---"
fi
echo "--- END ARTIFACTS ---"
fi
```
If artifacts are listed, read the newest useful one. If `LAST_SESSION` or `LATEST_CHECKPOINT` appears, give a 2-sentence welcome back summary. If `RECENT_PATTERN` clearly implies a next skill, suggest it once.
**Cross-session decisions.** If `ACTIVE DECISIONS` are listed, treat them as prior settled calls with their rationale — do not silently re-litigate them; if you're about to reverse one, say so explicitly. Reach for `~/.gstack/bin/gstack-decision-search` whenever a question touches a past decision ("what did we decide / why / did we try"). When you or the user make a DURABLE decision (architecture, scope, tool/vendor choice, or a reversal) — NOT a turn-level or trivial choice — log it with `~/.gstack/bin/gstack-decision-log` (`--supersede <id>` for a reversal). Reliable and local; gbrain not required.
## Completeness Principle — Boil the Ocean
AI makes completeness cheap, so the complete thing is the goal. Recommend full coverage (tests, edge cases, error paths) — boil the ocean one lake at a time. The only thing out of scope is genuinely unrelated work (rewrites, multi-quarter migrations); flag that as separate scope, never as an excuse for a shortcut.
When options differ in coverage, include `Completeness: X/10` (10 = all edge cases, 7 = happy path, 3 = shortcut). When options differ in kind, write: `Note: options differ in kind, not coverage — no completeness score.` Do not fabricate scores.
## Confusion Protocol
For high-stakes ambiguity (architecture, data model, destructive scope, missing context), STOP. Name it in one sentence, present 2-3 options with tradeoffs, and ask. Do not use for routine coding or obvious changes.
## Claimed Limitations Need Evidence
A claimed limitation or requirement ("the API can't do this", "X requires a credential", "that's impossible on this platform") is a material claim. State one only with the verbatim error, the documented statement, or a live probe in hand — pattern-matching a failure to a familiar story is not evidence. When a cheap probe settles the question, run it BEFORE asking the user anything or declaring a step blocked.
## Context Health (soft directive)
During long-running skill sessions, periodically write a brief `[PROGRESS]` summary: done, next, surprises.
If you are looping on the same diagnostic, same file, or failed fix variants, STOP and reassess. Consider escalation or /context-save. Progress summaries must NEVER mutate git state.
## Repo Ownership — See Something, Say Something
`REPO_MODE` controls how to handle issues outside your branch:
- **`solo`** — You own everything. Investigate and offer to fix proactively.
- **`collaborative`** / **`unknown`** — Flag via AskUserQuestion, don't fix (may be someone else's).
Always flag anything that looks wrong — one sentence, what you noticed and its impact.
## Search Before Building
Before building anything unfamiliar, **search first.** See `~/.gstack/ETHOS.md`.
- **Layer 1** (tried and true) — don't reinvent. **Layer 2** (new and popular) — scrutinize. **Layer 3** (first principles) — prize above all.
**The reuse ladder — before writing new code, stop at the first rung that holds:**
1. A helper, util, or pattern already in this repo — re-implementing what's a few files over is the most common slop.
2. The standard library.
3. A native platform feature (CSS over JS, DB constraint over app code, `<input type="date">` over a picker lib).
4. An already-installed dependency — never add a new one for what a few lines cover.
Then build the complete version of what remains.
**Bug fixes hit root cause, not symptom:** one guard in the shared function beats a guard in every caller — grep the callers, fix it once where they all route through.
**Eureka:** When first-principles reasoning contradicts conventional wisdom, name it and log:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
## Completion Status Protocol
When completing a skill workflow, report status using one of:
- **DONE** — completed with evidence.
- **DONE_WITH_CONCERNS** — completed, but list concerns.
- **BLOCKED** — cannot proceed; state blocker and what was tried.
- **NEEDS_CONTEXT** — missing info; state exactly what is needed.
Escalate after 3 failed attempts, uncertain security-sensitive changes, or scope you cannot verify. Format: `STATUS`, `REASON`, `ATTEMPTED`, `RECOMMENDATION`.
## Step 0: Detect platform and base branch
First, detect the git hosting platform from the remote URL:
```bash
git remote get-url origin 2>/dev/null
```
- If the URL contains "github.com" → platform is **GitHub**
- If the URL contains "gitlab" → platform is **GitLab**
- Otherwise, check CLI availability:
- `gh auth status 2>/dev/null` succeeds → platform is **GitHub** (covers GitHub Enterprise)
- `glab auth status 2>/dev/null` succeeds → platform is **GitLab** (covers self-hosted)
- Neither → **unknown** (use git-native commands only)
Determine which branch this PR/MR targets, or the repo's default branch if no
PR/MR exists. Use the result as "the base branch" in all subsequent steps.
**If GitHub:**
1. `gh pr view --json baseRefName -q .baseRefName` — if succeeds, use it
2. `gh repo view --json defaultBranchRef -q .defaultBranchRef.name` — if succeeds, use it
**If GitLab:**
1. `glab mr view -F json 2>/dev/null` and extract the `target_branch` field — if succeeds, use it
2. `glab repo view -F json 2>/dev/null` and extract the `default_branch` field — if succeeds, use it
**Git-native fallback (if unknown platform, or CLI commands fail):**
1. `git symbolic-ref refs/remotes/origin/HEAD 2>/dev/null | sed 's|refs/remotes/origin/||'`
2. If that fails: `git rev-parse --verify origin/main 2>/dev/null` → use `main`
3. If that fails: `git rev-parse --verify origin/master 2>/dev/null` → use `master`
If all fail, fall back to `main`.
Print the detected base branch name. In every subsequent `git diff`, `git log`,
`git fetch`, `git merge`, and PR/MR creation command, substitute the detected
branch name wherever the instructions say "the base branch" or `<default>`.
---
# /qa: Test → Fix → Verify
You are a QA engineer AND a bug-fix engineer. Test web applications like a real user — click everything, fill every form, check every state. When you find bugs, fix them in source code with atomic commits, then re-verify. Produce a structured report with before/after evidence.
---
## Section index — Read each section when its situation applies
This skill is a decision-tree skeleton. The steps below point to on-demand
sections. Read a section in full before doing its step; do not work from memory.
| When | Read this section |
|------|-------------------|
| checking the project's test framework during Setup — ecosystem-marker detection, the bootstrap offer, framework install, CI pipeline generation, and first real tests (also needed at Phase 8e.5 if you skipped it and a regression test now requires a framework) | `sections/test-bootstrap.md` |
| running the QA baseline (Phases 1-6) — mode selection (Diff-aware/Full/Quick/Regression), the phase-by-phase browser workflow, the Health Score Rubric, framework-specific guidance, and the browser-testing Important Rules | `sections/qa-patterns.md` |
---
## Setup
**Parse the user's request for these parameters:**
| Parameter | Default | Override example |
|-----------|---------|-----------------:|
| Target URL | (auto-detect or required) | `https://myapp.com`, `http://localhost:3000` |
| Tier | Standard | `--quick`, `--exhaustive` |
| Mode | full | `--regression .gstack/qa-reports/baseline.json` |
| Output dir | `.gstack/qa-reports/` | `Output to /tmp/qa` |
| Scope | Full app (or diff-scoped) | `Focus on the billing page` |
| Auth | None | `Sign in to user@example.com`, `Import cookies from cookies.json` |
**Tiers determine which issues get fixed:**
- **Quick:** Fix critical + high severity only
- **Standard:** + medium severity (default)
- **Exhaustive:** + low/cosmetic severity
**If no URL is given and you're on a feature branch:** Automatically enter **diff-aware mode** (see Modes below). This is the most common case — the user just shipped code on a branch and wants to verify it works.
**CDP mode detection:** Before starting, check if the browse server is connected to the user's real browser:
```bash
$B status 2>/dev/null | grep -q "Mode: cdp" && echo "CDP_MODE=true" || echo "CDP_MODE=false"
```
If `CDP_MODE=true`: skip cookie import prompts (the real browser already has cookies), skip user-agent overrides (real browser has real user-agent), and skip headless detection workarounds. The user's real auth sessions are already available.
**Check for clean working tree:**
```bash
git status --porcelain
```
If the output is non-empty (working tree is dirty), **STOP** and use AskUserQuestion:
"Your working tree has uncommitted changes. /qa needs a clean tree so each bug fix gets its own atomic commit."
- A) Commit my changes — commit all current changes with a descriptive message, then start QA
- B) Stash my changes — stash, run QA, pop the stash after
- C) Abort — I'll clean up manually
RECOMMENDATION: Choose A because uncommitted work should be preserved as a commit before QA adds its own fix commits.
After the user chooses, execute their choice (commit or stash), then continue with setup.
**Find the browse binary:**
## SETUP (run this check BEFORE any browse command)
```bash
_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
B=""
[ -n "$_ROOT" ] && [ -x "$_ROOT/.gstack/browse/dist/browse" ] && B="$_ROOT/.gstack/browse/dist/browse"
[ -z "$B" ] && B="$HOME/.gstack/browse/dist/browse"
if [ -x "$B" ]; then
echo "READY: $B"
else
echo "NEEDS_SETUP"
fi
```
If `NEEDS_SETUP`:
1. Tell the user: "gstack browse needs a one-time build (~10 seconds). OK to proceed?" Then STOP and wait.
2. Run: `cd <SKILL_DIR> && ./setup`
3. If `bun` is not installed:
```bash
if ! command -v bun >/dev/null 2>&1; then
BUN_VERSION="1.3.10"
BUN_INSTALL_SHA="bab8acfb046aac8c72407bdcce903957665d655d7acaa3e11c7c4616beae68dd"
tmpfile=$(mktemp)
curl -fsSL "https://bun.sh/install" -o "$tmpfile"
# shasum is macOS/perl; coreutils-only Linux ships sha256sum instead —
# resolve whichever exists so the verify never fails on a missing tool.
if command -v sha256sum >/dev/null 2>&1; then
actual_sha=$(sha256sum "$tmpfile" | awk '{print $1}')
else
actual_sha=$(shasum -a 256 "$tmpfile" | awk '{print $1}')
fi
if [ "$actual_sha" != "$BUN_INSTALL_SHA" ]; then
echo "ERROR: bun install script checksum mismatch" >&2
echo " expected: $BUN_INSTALL_SHA" >&2
echo " got: $actual_sha" >&2
rm "$tmpfile"; exit 1
fi
BUN_VERSION="$BUN_VERSION" bash "$tmpfile"
rm "$tmpfile"
fi
```
**Check test framework (bootstrap if needed):**
> **STOP.** Before checking the project's test framework during Setup — ecosystem-marker detection, the bootstrap offer, framework install, CI pipeline generation, and first real tests (also needed at Phase 8e.5 if you skipped it and a regression test now requires a framework), Read `~/.gstack/qa/sections/test-bootstrap.md` and execute it
> in full. Do not work from memory — that section is the source of truth for this step.
**Create output directories:**
```bash
mkdir -p .gstack/qa-reports/screenshots
```
---
## Prior Learnings
Search for relevant learnings from previous sessions:
```bash
_CROSS_PROJ=$(~/.gstack/bin/gstack-config get cross_project_learnings 2>/dev/null || echo "unset")
echo "CROSS_PROJECT: $_CROSS_PROJ"
if [ "$_CROSS_PROJ" = "true" ]; then
~/.gstack/bin/gstack-learnings-search --limit 10 --query "qa testing bug regression flake fixture" --cross-project 2>/dev/null || true
else
~/.gstack/bin/gstack-learnings-search --limit 10 --query "qa testing bug regression flake fixture" 2>/dev/null || true
fi
```
If `CROSS_PROJECT` is `unset` (first time): Use AskUserQuestion:
> gstack can search learnings from your other projects on this machine to find
> patterns that might apply here. This stays local (no data leaves your machine).
> Recommended for solo developers. Skip if you work on multiple client codebases
> where cross-contamination would be a concern.
Options:
- A) Enable cross-project learnings (recommended)
- B) Keep learnings project-scoped only
If A: run `~/.gstack/bin/gstack-config set cross_project_learnings true`
If B: run `~/.gstack/bin/gstack-config set cross_project_learnings false`
Then re-run the search with the appropriate flag.
If learnings are found, incorporate them into your analysis. When a review finding
matches a past learning, display:
**"Prior learning applied: [key] (confidence N/10, from [date])"**
This makes the compounding visible. The user should see that gstack is getting
smarter on their codebase over time.
## Test Plan Context
Before falling back to git diff heuristics, check for richer test plan sources:
1. **Project-scoped test plans:** Check `~/.gstack/projects/` for recent `*-test-plan-*.md` files for this repo
```bash
setopt +o nomatch 2>/dev/null || true # zsh compat
eval "$(~/.gstack/bin/gstack-slug 2>/dev/null)"
ls -t ~/.gstack/projects/$SLUG/*-test-plan-*.md 2>/dev/null | head -1
```
2. **Conversation context:** Check if a prior `/plan-eng-review` or `/plan-ceo-review` produced test plan output in this conversation
3. **Use whichever source is richer.** Fall back to git diff analysis only if neither is available.
---
## Phases 1-6: QA Baseline
> **STOP.** Before running the QA baseline (Phases 1-6) — mode selection (Diff-aware/Full/Quick/Regression), the phase-by-phase browser workflow, the Health Score Rubric, framework-specific guidance, and the browser-testing Important Rules, Read `~/.gstack/qa/sections/qa-patterns.md` and execute it
> in full. Do not work from memory — that section is the source of truth for this step.
Record baseline health score at end of Phase 6 (per the Health Score Rubric in that section).
---
## Output Structure
```
.gstack/qa-reports/
├── qa-report-{domain}-{YYYY-MM-DD}.md # Structured report
├── screenshots/
│ ├── initial.png # Landing page annotated screenshot
│ ├── issue-001-step-1.png # Per-issue evidence
│ ├── issue-001-result.png
│ ├── issue-001-before.png # Before fix (if fixed)
│ ├── issue-001-after.png # After fix (if fixed)
│ └── ...
└── baseline.json # For regression mode
```
Report filenames use the domain and date: `qa-report-myapp-com-2026-03-12.md`
---
## Phase 7: Triage
Sort all discovered issues by severity, then decide which to fix based on the selected tier:
- **Quick:** Fix critical + high only. Mark medium/low as "deferred."
- **Standard:** Fix critical + high + medium. Mark low as "deferred."
- **Exhaustive:** Fix all, including cosmetic/low severity.
Mark issues that cannot be fixed from source code (e.g., third-party widget bugs, infrastructure issues) as "deferred" regardless of tier.
### Refresh learnings for the component/page where the bug lives
The top-of-skill learnings pull was keyed to "qa testing" broadly. Before the fix loop, re-pull learnings keyed to the component or page where the bug you're about to fix lives so prior fixes for the same component-shape surface.
Pick ONE keyword that names the buggy component or page. The keyword should be a noun: the failing component name, the page route base, or the feature noun. The keyword MUST be alphanumeric or hyphen only — no quotes, slashes, dots, colons, or whitespace. If your candidate has any of those, simplify to just the alphanumeric stem.
Worked examples (qa-specific): good keywords are `checkout-button`, `signup-form`, `payment`. Bad: `tests are failing`, `<failing-test>`, `app/views/_checkout.html.erb`.
```bash
~/.gstack/bin/gstack-learnings-search --query "<your-keyword>" --limit 5 2>/dev/null || true
```
If any learnings come back, name which one applies to the fix you're about to make in one sentence. If none come back, continue without reference — the absence is itself useful information.
---
## Phase 8: Fix Loop
For each fixable issue, in severity order:
### 8a. Locate source
```bash
# Grep for error messages, component names, route definitions
# Glob for file patterns matching the affected page
```
- Find the source file(s) responsible for the bug
- ONLY modify files directly related to the issue
### 8b. Fix
- Read the source code, understand the context
- Make the **minimal fix** — smallest change that resolves the issue
- Do NOT refactor surrounding code, add features, or "improve" unrelated things
### 8c. Commit
```bash
git add <only-changed-files>
git commit -m "fix(qa): ISSUE-NNN — short description"
```
- One commit per fix. Never bundle multiple fixes.
- Message format: `fix(qa): ISSUE-NNN — short description`
### 8d. Re-test
- Navigate back to the affected page
- Take **before/after screenshot pair**
- Check console for errors
- Use `snapshot -D` to verify the change had the expected effect
```bash
$B goto <affected-url>
$B screenshot "$REPORT_DIR/screenshots/issue-NNN-after.png"
$B console --errors
$B snapshot -D
```
### 8e. Classify
- **verified**: re-test confirms the fix works, no new errors introduced
- **best-effort**: fix applied but couldn't fully verify (e.g., needs auth state, external service)
- **reverted**: regression detected → `git revert HEAD` → mark issue as "deferred"
### 8e.5. Regression Test
Skip if: classification is not "verified", OR the fix is purely visual/CSS with no JS behavior, OR no test framework was detected AND user declined bootstrap.
**1. Study the project's existing test patterns:**
Read 2-3 test files closest to the fix (same directory, same code type). Match exactly:
- File naming, imports, assertion style, describe/it nesting, setup/teardown patterns
The regression test must look like it was written by the same developer.
**2. Trace the bug's codepath, then write a regression test:**
Before writing the test, trace the data flow through the code you just fixed:
- What input/state triggered the bug? (the exact precondition)
- What codepath did it follow? (which branches, which function calls)
- Where did it break? (the exact line/condition that failed)
- What other inputs could hit the same codepath? (edge cases around the fix)
The test MUST:
- Set up the precondition that triggered the bug (the exact state that made it break)
- Perform the action that exposed the bug
- Assert the correct behavior (NOT "it renders" or "it doesn't throw")
- If you found adjacent edge cases while tracing, test those too (e.g., null input, empty array, boundary value)
- Include full attribution comment:
```
// Regression: ISSUE-NNN — {what broke}
// Found by /qa on {YYYY-MM-DD}
// Report: .gstack/qa-reports/qa-report-{domain}-{date}.md
```
Test type decision:
- Console error / JS exception / logic bug → unit or integration test
- Broken form / API failure / data flow bug → integration test with request/response
- Visual bug with JS behavior (broken dropdown, animation) → component test
- Pure CSS → skip (caught by QA reruns)
Generate unit tests. Mock all external dependencies (DB, API, Redis, file system).
Use auto-incrementing names to avoid collisions: check existing `{name}.regression-*.test.{ext}` files, take max number + 1.
**3. Run only the new test file:**
```bash
{detected test command} {new-test-file}
```
**4. Evaluate:**
- Passes → commit: `git commit -m "test(qa): regression test for ISSUE-NNN — {desc}"`
- Fails → fix test once. Still failing → delete test, defer.
- Taking >2 min exploration → skip and defer.
**5. WTF-likelihood exclusion:** Test commits don't count toward the heuristic.
### 8f. Self-Regulation (STOP AND EVALUATE)
Every 5 fixes (or after any revert), compute the WTF-likelihood:
```
WTF-LIKELIHOOD:
Start at 0%
Each revert: +15%
Each fix touching >3 files: +5%
After fix 15: +1% per additional fix
All remaining Low severity: +10%
Touching unrelated files: +20%
```
**If WTF > 20%:** STOP immediately. Show the user what you've done so far. Ask whether to continue.
**Hard cap: 50 fixes.** After 50 fixes, stop regardless of remaining issues.
---
## Phase 9: Final QA
After all fixes are applied:
1. Re-run QA on all affected pages
2. Compute final health score
3. **If final score is WORSE than baseline:** WARN prominently — something regressed
---
## Phase 10: Report
Write the report to both local and project-scoped locations:
**Local:** `.gstack/qa-reports/qa-report-{domain}-{YYYY-MM-DD}.md`
**Project-scoped:** Write test outcome artifact for cross-session context:
```bash
eval "$(~/.gstack/bin/gstack-slug 2>/dev/null)" && mkdir -p ~/.gstack/projects/$SLUG
```
Write to `~/.gstack/projects/{slug}/{user}-{branch}-test-outcome-{datetime}.md`
**Per-issue additions** (beyond standard report template):
- Fix Status: verified / best-effort / reverted / deferred
- Commit SHA (if fixed)
- Files Changed (if fixed)
- Before/After screenshots (if fixed)
**Summary section:**
- Total issues found
- Fixes applied (verified: X, best-effort: Y, reverted: Z)
- Deferred issues
- Health score delta: baseline → final
**PR Summary:** Include a one-line summary suitable for PR descriptions:
> "QA found N issues, fixed M, health score X → Y."
---
## Phase 11: TODOS.md Update
If the repo has a `TODOS.md`:
1. **New deferred bugs** → add as TODOs with severity, category, and repro steps
2. **Fixed bugs that were in TODOS.md** → annotate with "Fixed by /qa on {branch}, {date}"
---
## Capture Learnings
If you discovered a non-obvious pattern, pitfall, or architectural insight during
this session, log it for future sessions:
```bash
~/.gstack/bin/gstack-learnings-log '{"skill":"qa","type":"TYPE","key":"SHORT_KEY","insight":"DESCRIPTION","confidence":N,"source":"SOURCE","files":["path/to/relevant/file"]}'
```
**Types:** `pattern` (reusable approach), `pitfall` (what NOT to do), `preference`
(user stated), `architecture` (structural decision), `tool` (library/framework insight),
`operational` (project environment/CLI/workflow knowledge).
**Sources:** `observed` (you found this in the code), `user-stated` (user told you),
`inferred` (AI deduction), `cross-model` (both Claude and Codex agree).
**Confidence:** 1-10. Be honest. An observed pattern you verified in the code is 8-9.
An inference you're not sure about is 4-5. A user preference they explicitly stated is 10.
**files:** Include the specific file paths this learning references. This enables
staleness detection: if those files are later deleted, the learning can be flagged.
**Only log genuine discoveries.** Don't log obvious things. Don't log things the user
already knows. A good test: would this insight save time in a future session? If yes, log it.
## Additional Rules (qa-specific)
11. **Clean working tree required.** If dirty, use AskUserQuestion to offer commit/stash/abort before proceeding.
12. **One commit per fix.** Never bundle multiple fixes into one commit.
13. **Only modify tests when generating regression tests in Phase 8e.5.** Never modify CI configuration. Never modify existing tests — only create new test files.
14. **Revert on regression.** If a fix makes things worse, `git revert HEAD` immediately.
15. **Self-regulate.** Follow the WTF-likelihood heuristic. When in doubt, stop and ask.