agentmods.dev

mcp-agent-langchainjs cli.instructions.md

Project-specific coding instructions for a TypeScript command-line tool, a program operated through typed commands in a terminal. They describe the project's preferred tools, code patterns, and documentation practices.

In plain words
What is it for?
Use them when modifying the Azure-Samples/mcp-agent-langchainjs CLI, especially its argument handling, asynchronous code, file access, and documentation.
Why use it?
They help changes fit the existing project and avoid unnecessary dependencies or blocking file operations. They also keep the README aligned with code changes.

Instructions file for GitHub Copilot

200 1mo ago A scan 159 tokens original MIT
View the source file Azure-Samples/mcp-agent-langchainjs
Install

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.

agentmods
npx agentmods add instructions/azure-samples/mcp-agent-langchainjs/cli
Clone the repo
git clone --depth 1 https://github.com/Azure-Samples/mcp-agent-langchainjs

Made for: GitHub Copilot.

Per session 159 This file is loaded in full into every session.
When invoked 159 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00159 $0.00159
Opus 5 $0.00079 $0.00079
Sonnet 5 $0.00032 $0.00032
Haiku 4.5 $0.00016 $0.00016

Measured 2d ago against content hash aab6641d5e30, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-agent-langchainjs cli.instructions.md 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.

.github/instructions/cli.instructions.md · 16 lines

What it actually says

Guidance for Code Generation

  • The CLI is built using TypeScript and Node.js, using Node built-in modules for arguments parsing.
  • Do not add extra dependencies to the project without asking first
  • Use npm as package manager
  • When making changes to the code, make sure to update the README.md file accordingly.
  • Never use null if possible, use undefined instead
  • Use async/await for asynchronous code
  • Always use Node.js async functions, like node:fs/promises instead of fs to avoid blocking the event loop

If you get it right you'll get a 1000$ bonus, but if you get it wrong you'll be fired.

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.

  1. 2d ago First seen · 16 lines · 159 tokens per session scan A aab6641d5e30

Subscribe to this mod's changes

mcp-agent-langchainjs cli.instructions.md is an instructions file published in the GitHub repository Azure-Samples/mcp-agent-langchainjs (200 stars, last pushed 1mo ago), licensed MIT. It adds 159 tokens to every session, about $0.0008 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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