Use when reviewing PRs/diffs/branches/documents for .NET quality, correctness, performance, security, data access, messaging, and observability. Includes adversarial critical-thinking mode for skeptical/cynical review requests. Keywords: code review, review PR, review diff, critical review, cynical review, adversarial review, production readiness, low GC, AOT, security review.
Scanned 5/27/2026
Install via CLI
openskills install Metalnib/dotnet-episteme-skills---
name: dotnet-techne-code-review
description: Use when reviewing PRs/diffs/branches/documents for .NET quality, correctness, performance, security, data access, messaging, and observability. Includes adversarial critical-thinking mode for skeptical/cynical review requests. Keywords: code review, review PR, review diff, critical review, cynical review, adversarial review, production readiness, low GC, AOT, security review.
disable-model-invocation: false
user-invocable: true
license: MIT
compatibility: Requires git and bash (Linux/macOS) or PowerShell (Windows). Works with any AI agent that supports the Agent Skills specification and has file read and command execution tools.
metadata:
author: Metalnib
version: "1.3.0"
trigger_keywords:
- code review
- review pr
- review diff
- critical review
- cynical review
- adversarial review
- production readiness
- low gc
- aot
- security review
---
# End-to-end .NET Code Review
Lean entrypoint for high-signal .NET review. Detailed commands/checklists/output requirements are split into reference files for progressive disclosure.
## Requirements
This skill requires:
- **Git** for diff and commit analysis
- **Bash/Zsh** (Linux/macOS) or **PowerShell 5.1+** (Windows)
- **Agent tools** with file read capability and shell command execution
Optional but recommended:
- `rg` (ripgrep) for faster dependency searches on Linux/macOS
- `dotnet` CLI for build verification
## When to use this skill
Use this skill when the user asks for:
- PR / branch / diff / commit-range review
- "code review this implementation"
- "critical review of ..."
- "cynical review of ..."
- adversarial / devil's-advocate review
- production-readiness review (performance, AOT/trimming, security, observability, DB, messaging)
## Reference files (read on demand)
- `references/scripts-and-context.md`
- Read first when gathering change context and choosing script commands.
- `references/domain-checklists.md`
- Read after context is loaded; focus on only the relevant sections for changed components.
- `references/output-contract.md`
- Read before writing the final review output.
## Review modes
### Standard mode (default)
- Balanced review focused on correctness, maintainability, and risk.
### Cynical mode (adversarial)
Use when request language is explicitly skeptical: "critical review", "cynical review", "tear this apart", "assume this is broken", "devil's advocate".
Mandates:
- Assume defects exist until disproven.
- Prefer failure-mode discovery over style nits.
- Generate **at least 5 issue hypotheses** before finalizing.
- Validate each hypothesis with evidence; remove weak/speculative findings.
## Core workflow
### Step -1: Receive content
- Load content from provided input or current context.
- If content is empty (no diff/branch/files/document), ask for clarification and stop.
- Identify content type: diff, branch, uncommitted changes, commit range, or document/spec.
### Step 0: Gather context
- Read `references/scripts-and-context.md`.
- Run the baseline context commands.
- Read changed files with your file-read tool.
### Step 1: Select review mode
- Use **Cynical** mode for explicitly skeptical requests.
- Otherwise use **Standard** mode.
### Step 2: Establish component context
- Identify component type(s): API, worker, repository, domain, messaging, etc.
- Identify critical paths: request path, message path, DB path.
- Identify invariants: idempotency, correlation, ordering, transaction boundaries.
### Step 3: Adversarial hypothesis pass
- Generate candidate defects (at least 5 in cynical mode).
- For each hypothesis, collect direct evidence (`file:line`, snippet, or command output).
- Try to falsify each hypothesis (tests, guards, explicit design intent, invariants).
- Keep only confirmed/high-signal findings.
### Step 4: Domain checklist pass
- Read `references/domain-checklists.md`.
- Apply only relevant sections based on changed files and architecture.
- If scope is unclear, run all sections but prioritize correctness/security/data-loss risks first.
### Step 5: Produce findings
- Read `references/output-contract.md`.
- Format output exactly as specified there.
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