EasyPlatform sre-review
[Code Quality] Production readiness review for service-layer and API changes
git clone https://github.com/duc01226/EasyPlatform
T=$(mktemp -d) && git clone --depth=1 https://github.com/duc01226/EasyPlatform "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/sre-review" ~/.claude/skills/duc01226-easyplatform-sre-review && rm -rf "$T"
.claude/skills/sre-review/skill.md<!-- SYNC:critical-thinking-mindset -->[IMPORTANT] Use
to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.TaskCreate
<!-- /SYNC:critical-thinking-mindset --> <!-- SYNC:ai-mistake-prevention -->Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
<!-- /SYNC:ai-mistake-prevention --> <!-- SYNC:evidence-based-reasoning -->AI Mistake Prevention — Failure modes to avoid on every task:
- Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal.
- Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing.
- Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain.
- Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path.
- When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site.
- Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code.
- Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks.
- Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis.
- Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly.
- Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
<!-- /SYNC:evidence-based-reasoning -->Evidence-Based Reasoning — Speculation is FORBIDDEN. Every claim needs proof.
- Cite
, grep results, or framework docs for EVERY claimfile:line- Declare confidence: >80% act freely, 60-80% verify first, <60% DO NOT recommend
- Cross-service validation required for architectural changes
- "I don't have enough evidence" is valid and expected output
BLOCKED until:
Evidence file path (- [ ])file:lineGrep search performed- [ ]3+ similar patterns found- [ ]Confidence level stated- [ ]Forbidden without proof: "obviously", "I think", "should be", "probably", "this is because" If incomplete → output:
"Insufficient evidence. Verified: [...]. Not verified: [...]."
— Domain entity catalog, relationships, cross-service sync (read when task involves business entities/models) (content auto-injected by hook — check for [Injected: ...] header before reading)docs/project-reference/domain-entities-reference.md
<!-- /SYNC:double-round-trip-review --> <!-- SYNC:fresh-context-review -->Deep Multi-Round Review — Escalating rounds. Round 1 in main session. Round 2+ and EVERY recursive re-review iteration MUST use a fresh sub-agent.
Round 1: Main-session review. Read target files, build understanding, note issues. Output baseline findings.
Round 2: MANDATORY fresh sub-agent review — see
for the spawn mechanism andSYNC:fresh-context-reviewfor the canonical Agent prompt template. The sub-agent re-reads ALL files from scratch with ZERO Round 1 memory. It must catch:SYNC:review-protocol-injection
- Cross-cutting concerns missed in Round 1
- Interaction bugs between changed files
- Convention drift (new code vs existing patterns)
- Missing pieces that should exist but don't
- Subtle edge cases the main session rationalized away
Round 3+ (recursive after fixes): After ANY fix cycle, MANDATORY fresh sub-agent re-review. Spawn a NEW Agent tool call each iteration — never reuse Round 2's agent. Each new agent re-reads ALL files from scratch with full protocol injection. Continue until PASS or 3 fresh-subagent rounds max, then escalate to user via
.AskUserQuestionRules:
- NEVER declare PASS after Round 1 alone
- NEVER reuse a sub-agent across rounds — every iteration spawns a NEW Agent call
- Main agent READS sub-agent reports but MUST NOT filter, reinterpret, or override findings
- Max 3 fresh-subagent rounds per review — if still FAIL, escalate via
(do NOT silently loop)AskUserQuestion- Track round count in conversation context (session-scoped)
- Final verdict must incorporate ALL rounds
Report must include
for every round N≥2.## Round N Findings (Fresh Sub-Agent)
<!-- /SYNC:fresh-context-review --> <!-- SYNC:review-protocol-injection -->Fresh Sub-Agent Review — Eliminate orchestrator confirmation bias via isolated sub-agents.
Why: The main agent knows what it (or
) just fixed and rationalizes findings accordingly. A fresh sub-agent has ZERO memory, re-reads from scratch, and catches what the main agent dismissed. Sub-agent bias is mitigated by (1) fresh context, (2) verbatim protocol injection, (3) main agent not filtering the report./cookWhen: Round 2 of ANY review AND every recursive re-review iteration after fixes. NOT needed when Round 1 already PASSes with zero issues.
How:
- Spawn a NEW
tool call — useAgentsubagent_type for code reviews,code-reviewerfor plan/doc/artifact reviewsgeneral-purpose- Inject ALL required review protocols VERBATIM into the prompt — see
for the full list and template. Never reference protocols by file path; AI compliance drops behind file-read indirection (seeSYNC:review-protocol-injection)SYNC:shared-protocol-duplication-policy- Sub-agent re-reads ALL target files from scratch via its own tool calls — never pass file contents inline in the prompt
- Sub-agent writes structured report to
plans/reports/{review-type}-round{N}-{date}.md- Main agent reads the report, integrates findings into its own report, DOES NOT override or filter
Rules:
- NEVER reuse a sub-agent across rounds — every iteration spawns a NEW
callAgent- NEVER skip fresh-subagent review because "last round was clean" — every fix triggers a fresh round
- Max 3 fresh-subagent rounds per review — escalate via
if still failing; do NOT silently loop or fall back to any prior protocolAskUserQuestion- Track iteration count in conversation context (session-scoped, no persistent files)
Review Protocol Injection — Every fresh sub-agent review prompt MUST embed 10 protocol blocks VERBATIM. The template below has ALL 10 bodies already expanded inline. Copy the template wholesale into the Agent call's
field at runtime, replacing only thepromptin Task / Round / Reference Docs / Target Files / Output sections with context-specific values. Do NOT touch the embedded protocol sections.{placeholders}Why inline expansion: Placeholder markers would force file-read indirection at runtime. AI compliance drops significantly behind indirection (see
). Therefore the template carries all 10 protocol bodies pre-embedded.SYNC:shared-protocol-duplication-policy
Subagent Type Selection
— for code reviews (reviewing source files, git diffs, implementation)code-reviewer
— for plan / doc / artifact reviews (reviewing markdown plans, docs, specs)general-purpose
Canonical Agent Call Template (Copy Verbatim)
Agent({ description: "Fresh Round {N} review", subagent_type: "code-reviewer", prompt: ` ## Task {review-specific task — e.g., "Review all uncommitted changes for code quality" | "Review plan files under {plan-dir}" | "Review integration tests in {path}"} ## Round Round {N}. You have ZERO memory of prior rounds. Re-read all target files from scratch via your own tool calls. Do NOT trust anything from the main agent beyond this prompt. ## Protocols (follow VERBATIM — these are non-negotiable) ### Evidence-Based Reasoning Speculation is FORBIDDEN. Every claim needs proof. 1. Cite file:line, grep results, or framework docs for EVERY claim 2. Declare confidence: >80% act freely, 60-80% verify first, <60% DO NOT recommend 3. Cross-service validation required for architectural changes 4. "I don't have enough evidence" is valid and expected output BLOCKED until: Evidence file path (file:line) provided; Grep search performed; 3+ similar patterns found; Confidence level stated. Forbidden without proof: "obviously", "I think", "should be", "probably", "this is because". If incomplete → output: "Insufficient evidence. Verified: [...]. Not verified: [...]." ### Bug Detection MUST check categories 1-4 for EVERY review. Never skip. 1. Null Safety: Can params/returns be null? Are they guarded? Optional chaining gaps? .find() returns checked? 2. Boundary Conditions: Off-by-one (< vs <=)? Empty collections handled? Zero/negative values? Max limits? 3. Error Handling: Try-catch scope correct? Silent swallowed exceptions? Error types specific? Cleanup in finally? 4. Resource Management: Connections/streams closed? Subscriptions unsubscribed on destroy? Timers cleared? Memory bounded? 5. Concurrency (if async): Missing await? Race conditions on shared state? Stale closures? Retry storms? 6. Stack-Specific: JS: === vs ==, typeof null. C#: async void, missing using, LINQ deferred execution. Classify: CRITICAL (crash/corrupt) → FAIL | HIGH (incorrect behavior) → FAIL | MEDIUM (edge case) → WARN | LOW (defensive) → INFO. ### Design Patterns Quality Priority checks for every code change: 1. DRY via OOP: Same-suffix classes (*Entity, *Dto, *Service) MUST share base class. 3+ similar patterns → extract to shared abstraction. 2. Right Responsibility: Logic in LOWEST layer (Entity > Domain Service > Application Service > Controller). Never business logic in controllers. 3. SOLID: Single responsibility (one reason to change). Open-closed (extend, don't modify). Liskov (subtypes substitutable). Interface segregation (small interfaces). Dependency inversion (depend on abstractions). 4. After extraction/move/rename: Grep ENTIRE scope for dangling references. Zero tolerance. 5. YAGNI gate: NEVER recommend patterns unless 3+ occurrences exist. Don't extract for hypothetical future use. Anti-patterns to flag: God Object, Copy-Paste inheritance, Circular Dependency, Leaky Abstraction. ### Logic & Intention Review Verify WHAT code does matches WHY it was changed. 1. Change Intention Check: Every changed file MUST serve the stated purpose. Flag unrelated changes as scope creep. 2. Happy Path Trace: Walk through one complete success scenario through changed code. 3. Error Path Trace: Walk through one failure/edge case scenario through changed code. 4. Acceptance Mapping: If plan context available, map every acceptance criterion to a code change. NEVER mark review PASS without completing both traces (happy + error path). ### Test Spec Verification Map changed code to test specifications. 1. From changed files → find TC-{FEAT}-{NNN} in docs/business-features/{Service}/detailed-features/{Feature}.md Section 15. 2. Every changed code path MUST map to a corresponding TC (or flag as "needs TC"). 3. New functions/endpoints/handlers → flag for test spec creation. 4. Verify TC evidence fields point to actual code (file:line, not stale references). 5. Auth changes → TC-{FEAT}-02x exist? Data changes → TC-{FEAT}-01x exist? 6. If no specs exist → log gap and recommend /tdd-spec. NEVER skip test mapping. Untested code paths are the #1 source of production bugs. ### Fix-Layer Accountability NEVER fix at the crash site. Trace the full flow, fix at the owning layer. The crash site is a SYMPTOM, not the cause. MANDATORY before ANY fix: 1. Trace full data flow — Map the complete path from data origin to crash site across ALL layers (storage → backend → API → frontend → UI). Identify where bad state ENTERS, not where it CRASHES. 2. Identify the invariant owner — Which layer's contract guarantees this value is valid? Fix at the LOWEST layer that owns the invariant, not the highest layer that consumes it. 3. One fix, maximum protection — If fix requires touching 3+ files with defensive checks, you are at the wrong layer — go lower. 4. Verify no bypass paths — Confirm all data flows through the fix point. Check for direct construction skipping factories, clone/spread without re-validation, raw data not wrapped in domain models, mutations outside the model layer. BLOCKED until: Full data flow traced (origin → crash); Invariant owner identified with file:line evidence; All access sites audited (grep count); Fix layer justified (lowest layer that protects most consumers). Anti-patterns (REJECT): "Fix it where it crashes" (crash site ≠ cause site, trace upstream); "Add defensive checks at every consumer" (scattered defense = wrong layer); "Both fix is safer" (pick ONE authoritative layer). ### Rationalization Prevention AI skips steps via these evasions. Recognize and reject: - "Too simple for a plan" → Simple + wrong assumptions = wasted time. Plan anyway. - "I'll test after" → RED before GREEN. Write/verify test first. - "Already searched" → Show grep evidence with file:line. No proof = no search. - "Just do it" → Still need TaskCreate. Skip depth, never skip tracking. - "Just a small fix" → Small fix in wrong location cascades. Verify file:line first. - "Code is self-explanatory" → Future readers need evidence trail. Document anyway. - "Combine steps to save time" → Combined steps dilute focus. Each step has distinct purpose. ### Graph-Assisted Investigation MANDATORY when .code-graph/graph.db exists. HARD-GATE: MUST run at least ONE graph command on key files before concluding any investigation. Pattern: Grep finds files → trace --direction both reveals full system flow → Grep verifies details. - Investigation/Scout: trace --direction both on 2-3 entry files - Fix/Debug: callers_of on buggy function + tests_for - Feature/Enhancement: connections on files to be modified - Code Review: tests_for on changed functions - Blast Radius: trace --direction downstream CLI: python .claude/scripts/code_graph {command} --json. Use --node-mode file first (10-30x less noise), then --node-mode function for detail. ### Understand Code First HARD-GATE: Do NOT write, plan, or fix until you READ existing code. 1. Search 3+ similar patterns (grep/glob) — cite file:line evidence. 2. Read existing files in target area — understand structure, base classes, conventions. 3. Run python .claude/scripts/code_graph trace <file> --direction both --json when .code-graph/graph.db exists. 4. Map dependencies via connections or callers_of — know what depends on your target. 5. Write investigation to .ai/workspace/analysis/ for non-trivial tasks (3+ files). 6. Re-read analysis file before implementing — never work from memory alone. 7. NEVER invent new patterns when existing ones work — match exactly or document deviation. BLOCKED until: Read target files; Grep 3+ patterns; Graph trace (if graph.db exists); Assumptions verified with evidence. ## Reference Docs (READ before reviewing) - docs/project-reference/code-review-rules.md - {skill-specific reference docs — e.g., integration-test-reference.md for integration-test-review; backend-patterns-reference.md for backend reviews; frontend-patterns-reference.md for frontend reviews} ## Target Files {explicit file list OR "run git diff to see uncommitted changes" OR "read all files under {plan-dir}"} ## Output Write a structured report to plans/reports/{review-type}-round{N}-{date}.md with sections: - Status: PASS | FAIL - Issue Count: {number} - Critical Issues (with file:line evidence) - High Priority Issues (with file:line evidence) - Medium / Low Issues - Cross-cutting findings Return the report path and status to the main agent. Every finding MUST have file:line evidence. Speculation is forbidden. ` })
Rules
- DO copy the template wholesale — including all 10 embedded protocol sections
- DO replace only the
in Task / Round / Reference Docs / Target Files / Output sections with context-specific content{placeholders} - DO choose
subagent_type for code reviews andcode-reviewer
for plan / doc / artifact reviewsgeneral-purpose - DO NOT paraphrase, summarize, or skip any protocol section
- DO NOT pass file contents inline — the sub-agent reads via its own tool calls so it has a fresh context
- DO NOT reference protocols by file path or tag name — the bodies are already embedded above
- DO NOT introduce placeholder markers for the protocols — they must stay literally expanded
Critical Purpose: Ensure quality — no flaws, no bugs, no missing updates, no stale content. Verify both code AND documentation.
External Memory: For complex or lengthy work (research, analysis, scan, review), write intermediate findings and final results to a report file in
— prevents context loss and serves as deliverable.plans/reports/
Evidence Gate: MANDATORY IMPORTANT MUST ATTENTION — every claim, finding, and recommendation requires
proof or traced evidence with confidence percentage (>80% to act, <80% must verify first).file:line
Quick Summary
Goal: Assess production readiness of service-layer and API changes by scoring observability, reliability, and operational preparedness.
When to use: After implementing backend service or API changes, before committing.
Scope: Service-layer and API changes only — frontend-only changes exempt.
Why this exists: Code that works but can't be debugged, monitored, or rolled back is technical debt in disguise.
Deployment Context: Read
→docs/project-config.jsonsection for deployment platform:infrastructure
— e.g., "docker" → check Dockerfiles, docker-composecontainerization — e.g., "kubernetes" → check K8s manifests, Helm chartsorchestration — e.g., "azure-devops" → check pipeline configscicd.tool
Your Mission
<task> $ARGUMENTS </task>Review Mindset (NON-NEGOTIABLE)
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
- Do NOT accept operational readiness at face value — verify by reading actual implementations
- Every score must include
evidence (grep results, read confirmations)file:line - If you cannot prove a score with a code trace, score it 0
- Question assumptions: "Is this really handled?" → trace the error/retry/timeout path to confirm
- Challenge completeness: "Are all failure modes covered?" → check what happens when dependencies fail
- Verify observability: "Can we actually debug this in production?" → check logging, correlation, metrics
- No "looks fine" without proof — state what you verified and how
Scope Resolution
- If arguments specify files/directories → review those
- Else review uncommitted changes (
)git diff --name-only - Focus on:
files in*.cs
, API controllers, service classessrc/Services/ - Skip: frontend files, test files, documentation, configuration-only changes
Production Readiness Checklist
Review the changed files and score each criterion 0-2:
- 0 = Not addressed
- 1 = Partially addressed
- 2 = Fully addressed
Observability (max 8 points)
| # | Criterion | What to Check |
|---|---|---|
| 1 | Structured Logging | External API calls and critical operations log errors with context (request ID, user, parameters) |
| 2 | Error Context | Exceptions include enough context to diagnose without reproducing (entity IDs, operation type, input summary) |
| 3 | Metrics Awareness | Operations >100ms consider tracking duration. New endpoints consider latency monitoring |
| 4 | Correlation | Cross-service calls include or propagate correlation IDs for distributed tracing |
Reliability (max 8 points)
| # | Criterion | What to Check |
|---|---|---|
| 5 | Retry Strategy | Transient failures (HTTP, DB timeouts) have retry logic or documented reason for not retrying |
| 6 | Timeout Configuration | HTTP clients and external calls have explicit timeout (not relying on defaults) |
| 7 | Error Handling | Errors handled gracefully — no swallowed exceptions, no generic catch-all without logging |
| 8 | Fallback Behavior | Critical paths define what happens when dependencies fail (degraded mode, cached response, user-facing error) |
Data Integrity (max 4 points)
| # | Criterion | What to Check |
|---|---|---|
| 9 | Seed vs Migration | Seed data (default records, system config) lives in startup data seeders, NOT in one-time migration executors |
| 10 | Seeder Idempotency | Data seeders use check-then-create pattern (query before insert) — safe for repeated runs on any environment |
Decision test for reviewers: "If the database is reset, does this data still need to exist?" Yes → must be in a seeder. No → migration is acceptable.
Database Performance (max 4 points)
[IMPORTANT] Database Performance Protocol (MANDATORY):
- Paging Required — ALL list/collection queries MUST ATTENTION use pagination. NEVER load all records into memory. Verify: no unbounded
,GetAll(), orToList()withoutFind()or cursor-based paging.Skip/Take- Index Required — ALL query filter fields, foreign keys, and sort columns MUST ATTENTION have database indexes configured. Verify: entity expressions match index field order, database collections have index management methods, migrations include indexes for WHERE/JOIN/ORDER BY columns.
| # | Criterion | What to Check |
|---|---|---|
| 11 | Pagination | List/collection queries use pagination (Skip/Take, cursor). No unbounded GetAll/ToList loading all records into memory |
| 12 | Database Indexes | Query filter fields, foreign keys, and sort columns have matching database indexes. Migrations include index creation |
Scoring
| Score | Verdict | Recommendation |
|---|---|---|
| 19-24 | PASS | Production-ready. Proceed to commit. |
| 13-18 | NEEDS WORK | Address gaps before deploying to production. OK for dev/staging. |
| 0-12 | NOT READY | Significant operational gaps. Review Operational Readiness rules in code-review-rules.md. |
<!-- /SYNC:graph-assisted-investigation --> <!-- SYNC:subagent-return-contract -->Graph-Assisted Investigation — MANDATORY when
exists..code-graph/graph.dbHARD-GATE: MUST ATTENTION run at least ONE graph command on key files before concluding any investigation.
Pattern: Grep finds files →
reveals full system flow → Grep verifies detailstrace --direction both
Task Minimum Graph Action Investigation/Scout on 2-3 entry filestrace --direction bothFix/Debug on buggy function +callers_oftests_forFeature/Enhancement on files to be modifiedconnectionsCode Review on changed functionstests_forBlast Radius trace --direction downstreamCLI:
. Usepython .claude/scripts/code_graph {command} --jsonfirst (10-30x less noise), then--node-mode filefor detail.--node-mode function
<!-- /SYNC:subagent-return-contract -->Sub-Agent Return Contract — When this skill spawns a sub-agent, the sub-agent MUST return ONLY this structure. Main agent reads only this summary — NEVER requests full sub-agent output inline.
## Sub-Agent Result: [skill-name] Status: ✅ PASS | ⚠️ PARTIAL | ❌ FAIL Confidence: [0-100]% ### Findings (Critical/High only — max 10 bullets) - [severity] [file:line] [finding] ### Actions Taken - [file changed] [what changed] ### Blockers (if any) - [blocker description] Full report: plans/reports/[skill-name]-[date]-[slug].mdMain agent reads
file ONLY when: (a) resolving a specific blocker, or (b) building a fix plan. Sub-agent writes full report incrementally (per SYNC:incremental-persistence) — not held in memory.Full report
Run
on service boundary files for cross-service impact.python .claude/scripts/code_graph connections <file> --json
Structural Impact Analysis (RECOMMENDED if graph.db exists)
If
.code-graph/graph.db exists, include structural impact in production readiness assessment:
- Run:
python .claude/scripts/code_graph graph-blast-radius --json - High blast radius (>20 impacted nodes) --> flag as high-risk deployment
- Check if changed functions have test coverage via
python .claude/scripts/code_graph query tests_for <function_name> --json
Graph-Trace for Production Flow
When graph DB is available, use
trace to verify production readiness:
— verify all downstream dependencies are accounted for (event handlers, bus consumers, cross-service calls)python .claude/scripts/code_graph trace <service-file> --direction downstream --json
— full flow: entry points + downstream cascadepython .claude/scripts/code_graph trace <service-file> --direction both --json- Flag any cross-service MESSAGE_BUS consumer that lacks error handling or monitoring
Round 2: Focused Re-Review (MANDATORY)
Protocol: Deep Multi-Round Review (inlined via SYNC:double-round-trip-review above)
After completing Round 1 scoring, execute a second full review round:
- Re-read the Round 1 score and findings
- Re-evaluate ALL scoring criteria — do NOT rely on Round 1 memory
- Focus on what Round 1 typically misses:
- Operational concerns that span multiple services
- Subtle reliability gaps (retry logic, circuit breakers, timeout handling)
- Missing observability (structured logging, correlation IDs, metrics)
- Data integrity edge cases under concurrent load
- Re-score all criteria — verify Round 1 scoring accuracy
- Update report with
section## Round 2 Findings (Fresh-Context) - Final score must incorporate findings from BOTH rounds
Output Format
## SRE Review Results **Scope:** {files reviewed} **Date:** {date} **Score:** {X}/24 **Verdict:** PASS / NEEDS WORK / NOT READY ### Observability ({X}/8) | # | Criterion | Score | Evidence | | --- | ------------------ | ----- | -------------------------- | | 1 | Structured Logging | 0/1/2 | {file:line or "not found"} | | 2 | Error Context | 0/1/2 | ... | | 3 | Metrics Awareness | 0/1/2 | ... | | 4 | Correlation | 0/1/2 | ... | ### Reliability ({X}/8) | # | Criterion | Score | Evidence | | --- | ----------------- | ----- | -------- | | 5 | Retry Strategy | 0/1/2 | ... | | 6 | Timeout Config | 0/1/2 | ... | | 7 | Error Handling | 0/1/2 | ... | | 8 | Fallback Behavior | 0/1/2 | ... | ### Data Integrity ({X}/4) | # | Criterion | Score | Evidence | | --- | ------------------ | ----- | -------- | | 9 | Seed vs Migration | 0/1/2 | ... | | 10 | Seeder Idempotency | 0/1/2 | ... | ### Database Performance ({X}/4) | # | Criterion | Score | Evidence | | --- | ---------------- | ----- | -------- | | 11 | Pagination | 0/1/2 | ... | | 12 | Database Indexes | 0/1/2 | ... | ### Gaps to Address - {specific actionable item} ### Recommendation {Proceed / Address gaps first}
Important Notes
- Advisory only (final VERDICT) — the score and verdict inform the team but do not block commits; the PROCESS steps (graph gate, Round 2, Database Performance Protocol) remain MANDATORY and are not advisory
- Evidence-based — cite specific file:line for each score
- Proportional — small bug fixes need less rigor than new endpoints (applies to VERDICT interpretation, not to skipping MANDATORY process steps)
- Check for project framework patterns (background job handlers, base controller error handling)
Workflow Recommendation
MANDATORY IMPORTANT MUST ATTENTION — NO EXCEPTIONS: If you are NOT already in a workflow, you MUST ATTENTION use
to ask the user. Do NOT judge task complexity or decide this is "simple enough to skip" — the user decides whether to use a workflow, not you:AskUserQuestion
- Activate
workflow (Recommended) — scout → investigate → plan → cook → review → sre-review → test → docsfeature- Execute
directly — run this skill standalone/sre-review
Next Steps
MANDATORY IMPORTANT MUST ATTENTION — NO EXCEPTIONS after completing this skill, you MUST ATTENTION use
AskUserQuestion to present these options. Do NOT skip because the task seems "simple" or "obvious" — the user decides:
- "/watzup (Recommended)" — Wrap up and check for doc staleness
- "/test" — Run tests before wrapping up
- "Skip, continue manually" — user decides
Closing Reminders
MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using
TaskCreate BEFORE starting.
MANDATORY IMPORTANT MUST ATTENTION validate decisions with user via AskUserQuestion — never auto-decide.
MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality.
MANDATORY IMPORTANT MUST ATTENTION READ the following files before starting:
<!-- SYNC:evidence-based-reasoning:reminder -->
- IMPORTANT MUST ATTENTION cite
evidence for every claim. Confidence >80% to act, <60% do NOT recommend. <!-- /SYNC:evidence-based-reasoning:reminder --> <!-- SYNC:double-round-trip-review:reminder -->file:line - MANDATORY IMPORTANT MUST ATTENTION execute TWO review rounds. Round 2 delegates to fresh code-reviewer sub-agent (zero prior context) — never skip or combine with Round 1. <!-- /SYNC:double-round-trip-review:reminder --> <!-- SYNC:graph-assisted-investigation:reminder -->
- IMPORTANT MUST ATTENTION run at least ONE graph command on key files before concluding (when graph.db exists). <!-- /SYNC:graph-assisted-investigation:reminder --> <!-- SYNC:critical-thinking-mindset:reminder -->
- MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact. <!-- /SYNC:critical-thinking-mindset:reminder --> <!-- SYNC:ai-mistake-prevention:reminder -->
- MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction. <!-- /SYNC:ai-mistake-prevention:reminder -->