Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/groupzer0/vs-code-agents/code-review-standardsnpx skills add groupzer0/vs-code-agents --skill code-review-standardsgit clone --depth 1 https://github.com/groupzer0/vs-code-agentsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00027 | $0.01169 |
| Opus 5 | $0.00014 | $0.00584 |
| Sonnet 5 | $0.00005 | $0.00234 |
| Haiku 4.5 | $0.00003 | $0.00117 |
Grade A, and why
code-review-standards scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review Standards
Systematic approach to code review. Use this skill when:
- Performing code reviews
- Defining review criteria for a project
- Understanding severity levels for findings
- Creating code review documents
Review Focus Areas
Use this checklist when reviewing implementation code:
| Category | What to Review |
|---|---|
| Architecture Alignment | Does implementation match Architect's design? Follows system-architecture.md patterns? |
| SOLID Principles | SRP, OCP, LSP, ISP, DIP violations (load engineering-standards for detection patterns) |
| DRY/YAGNI/KISS | Duplication, speculative generalization, over-complexity |
| TDD Compliance | TDD Compliance table present in implementation doc? All rows show test-first? |
| Code Smells | Long Method, Large Class, Feature Envy, etc. (see engineering-standards) |
| Documentation & Comments | Appropriate inline comments explaining "why" (not "what"), function docstrings, module-level docs, complex logic explained |
| Naming & Clarity | Self-documenting names, appropriate abstractions, readable code |
| Error Handling | Defensive coding, graceful failures, appropriate exceptions |
| Security Quick Scan | Obvious vulnerabilities (injection, exposed secrets, hardcoded creds) |
| Performance | Obvious inefficiencies, N+1 patterns, memory leaks |
| Observability | Appropriate logging, telemetry for debugging |
Severity Levels
| Severity | Definition | Action |
|---|---|---|
| CRITICAL | Security vulnerability, data loss risk, architectural violation | REJECT - must fix |
| HIGH | Anti-pattern, significant maintainability issue, missing tests | REJECT - must fix |
| MEDIUM | Code smell, minor design issue, unclear code | Fix recommended, may approve with comments |
| LOW | Style preference, minor optimization opportunity | Note for future, approve |
| INFO | Observation, suggestion for improvement | FYI only |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 154 lines · 27 tokens per session scan A cc59c0c8c07a
code-review-standards is a skill published in the GitHub repository groupzer0/vs-code-agents (284 stars, last pushed 7mo ago), licensed MIT. It adds 27 tokens to every session and 1,169 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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