Eng ReviewCAUTION
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
Overview
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
d90170da4369OBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: plan-pipeline-eng-review
description: "Engineering architecture gate: lock architecture, diagrams, edge cases, and test matrix before writing implementation code"
effort: medium
disable-model-invocation: true
---
# /plan-pipeline:eng-review: Engineering architecture gate
Post-direction, pre-implementation command. Takes validated product direction and returns a buildable technical spec with diagrams. Forces the system to think through architecture before a single line of implementation code is written.
**Use after `/plan-pipeline:ceo-review` has locked direction. Still in plan mode.**
---
## The problem this solves
Once product direction is locked, the next failure mode is vague architecture. "The system will handle it" is not a plan. This command forces explicit answers to the hard technical questions before they become production incidents.
The key unlock: **forcing diagram generation**. Diagrams surface hidden assumptions that prose keeps vague. A sequence diagram makes you specify who calls what. A state machine makes you enumerate every failure mode explicitly.
---
## When to use
- After product direction is validated (post `/plan-pipeline:ceo-review` or equivalent)
- Before any implementation work starts on a non-trivial feature
- When the feature has async components, external dependencies, or multi-step flows
- Any time "the architecture is clear" needs to be proven, not assumed
---
## What it should produce
| Output | Why it matters |
|--------|----------------|
| Architecture diagram (Mermaid) | Makes component boundaries explicit |
| Data flow diagram | Shows where data transforms and who owns what |
| State machine for core flow | Forces enumeration of all states including failures |
| Sync vs async boundary decisions | Prevents "just make it async" without reasoning |
| Failure mode inventory | Every failure path, not just happy path |
| Trust boundary map | Where do you accept external input? What do you validate? |
| Test matrix | What needs to be tested and at which layer |
---
## Prompt template
```markdown
# /plan-pipeline:eng-review
You are in engineering manager / tech lead mode. Direction is locked.
Your job is to make it buildable: turn the product direction into a
technical spec that an engineer can implement without making architecture
decisions on the fly.
Do NOT question the product direction. Do NOT suggest scope changes.
Do NOT implement anything. Return a technical spec.
## Step 1: Restate the Feature
1-2 sentences: what is being built. Confirm you are working from the
correct brief.
## Step 2: Architecture Diagram
Draw the component architecture in Mermaid:
- All components involved (frontend, backend, jobs, storage, external APIs)
- Boundaries between components
- Data flow directions
```mermaid
graph LR
...
```
## Step 3: Core Flow (Sequence Diagram)
Draw the happy path as a sequence diagram:
- Which components call which, in what order
- What data passes at each step
- Where async handoffs happen
```mermaid
sequenceDiagram
...
```
## Step 4: State Machine
Draw the state machine for the core domain object:
- All valid states
- All transitions and their triggers
- Terminal states (success AND failure)
```mermaid
stateDiagram-v2
...
```
## Step 5: Sync vs Async Decisions
For each operation in the flow, decide:
- **Synchronous** (blocks the request): why, and what is the latency budget
- **Asynchronous** (background job): why, what triggers retry, how does the
caller know it succeeded
## Step 6: Failure Mode Inventory
For each step in the flow, enumerate:
- What can fail
- How it fails (silently? loudly? partial success?)
- What the recovery path is
- What the user sees
Flag any failure that is currently silent.
## Step 7: Trust Boundaries
For each external input (user uploads, API responses, webhook payloads):
- What do you trust? What do you validate?
- Where could malicious input cause harm?
- Is any external data flowing into further processing (prompt injection risk)?
## Step 8: Test Matrix
| Layer | What to test | Why |
|-------|-------------|-----|
| Unit | ... | ... |
| Integration | ... | ... |
| E2E | ... | ... |
Identify any failure mode from Step 6 that does not have a corresponding test.
## Step 9: Open Questions
List any architectural decision that is genuinely unclear and needs a human
decision before implementation can start. Not a comprehensive list, only
blockers.
```
---
## Example
**Feature**: Smart listing creation from photo (post-`/plan-pipeline:ceo-review`)
**Output excerpt**:
```mermaid
graph LR
Upload[Photo Upload] --> Storage[Object Storage]
Storage --> Classify[Vision Classification Job]
Classify --> Enrich[Web Enrichment Job]
Enrich --> DraftGen[Draft Generation]
DraftGen --> DB[(Listings DB)]
DraftGen --> UI[Listing Editor UI]
```
State machine:
```mermaid
stateDiagram-v2
[*] --> pending
pending --> classifying
classifying --> enriching
classifying --> classification_failed
enriching --> draft_ready
enriching --> enrichment_partial
enrichment_partial --> draft_ready
draft_ready --> published
draft_ready --> discarded
```
Failure modes:
- Classification fails -> degrade to manual listing (not silent failure)
- Enrichment partially fails -> use what succeeded, flag missing fields
- Upload succeeds, classification job never starts -> orphaned file, cleanup job required
- Web data in draft generation -> prompt injection vector, sanitize before passing to LLM
---
## Pipeline position
```
/plan-pipeline:ceo-review -> product direction locked
/plan-pipeline:eng-review -> architecture locked <- you are here
/plan-pipeline:start -> produce implementation plan
/plan-pipeline:validate -> validate before execution
/plan-pipeline:execute -> execute to merged PR
```Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (2)
whitepapers/recap-cards/en/_extensions
whitepapers/recap-cards/fr/_extensions
Gates applied: no_behavioural_pass.
d90170da4369full audit observations/trust-audit/skill/florianbruniaux__eng-review.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | d90170da4369 | CAUTION | B | 89 | first audit |
Questions
What does the Eng Review skill do?
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
Is Eng Review safe to install?
With care. The audit graded it B (89/100) and found 2 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Eng Review access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (d90170da4369), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.