agentsclimarketplace

Dotnet techne code review

Skill Metalnib/dotnet-episteme-skills/skills/dotnet-techne-code-review

DotNet Episteme Skills - a curated, manual-first .NET AI skills library rooted in systematic knowledge (episteme) and shaped by disciplined craft (techne), designed for engineers who prioritise precision over hype.

Install
npx -y skills add Metalnib/dotnet-episteme-skills --skill dotnet-techne-code-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 11 stars11 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

4.6 KB, as published. Nobody here has run it

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.

On Claude Code with this plugin installed, prefer /dotnet-episteme-skills:dotnet-review for parallel multi-agent review (4 domain specialists + a generalist + adversarial maintainer verification). This file remains the complete single-context procedure for all other tools.

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.
  • references/maintainer-playbook.md
    • Read during the falsification pass (Step 3) to pressure-test findings before 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).
  • Apply references/maintainer-playbook.md to each surviving finding (maintainer persona, five checks, evidence-backed verdicts).
  • 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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.