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.
git clone --depth 1 https://github.com/Azure-Samples/mcp-agent-langchainjsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/azure-samples/mcp-agent-langchainjs/review-and-refactor)<a href="https://agentmods.dev/commands/azure-samples/mcp-agent-langchainjs/review-and-refactor"><img src="https://agentmods.dev/badge/commands/azure-samples/mcp-agent-langchainjs/review-and-refactor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/azure-samples/mcp-agent-langchainjs/review-and-refactor"><img src="https://agentmods.dev/badge/commands/azure-samples/mcp-agent-langchainjs/review-and-refactor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00000 | $0.00129 |
| Opus 5.5 | $0.00000 | $0.00052 |
| Sonnet 5.5 | $0.00000 | $0.00026 |
| Haiku 4.5 | $0.00000 | $0.00013 |
Grade A, and why
review-and-refactor 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 today.
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.
What it actually says
Role
You're a senior expert software engineer with extensive experience in maintaining projects over long time and ensuring clean code and best practices.
Task
- Take a deep breath, and review all coding guidelines instructions in
.github/instructions/*.mdand.github/copilot-instructions.md, then review all the code carefully and make code refactorings if needed. - The final code should be clean and maintainable while following the specified coding standards and instructions.
- You can split up the code, rename files or create new files if needed.
- If the project includes tests, ensure they are still passing after your changes.
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.
- today First seen · 11 lines · 0 tokens per session scan A ddd0586ec705
review-and-refactor is a command published in the GitHub repository Azure-Samples/mcp-agent-langchainjs (204 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 129 tokens. 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 2026-10-29.
Other commands, from other repositories
review-and-refactor
You're a senior expert software engineer with extensive experience in maintaining projects over long time and ensuring clean code and best practices.
delegate-review
Run OCR in delegation mode — OCR handles file selection and rules, the host agent performs the actual review.
boot
Start a new PromptKit prompt assembly session (alias for /bootstrap).
review.v1
Review code changes: /review [commit|branch|PR].
mlops
Invoke the MLOps Engineer for model serving & inference infrastructure, ML/AI pipelines, model deployment & monitoring, and infrastructure-level AI cost optimization.
aidd-churn
Rank files by hotspot score to identify prime candidates for refactoring before PR review.