Borrowing it
Nothing to install: this file belongs to TuanLdv/testcase-generator-mcp-starter-qc. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TuanLdv/testcase-generator-mcp-starter-qc/master/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/TuanLdv/testcase-generator-mcp-starter-qcWrote 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/instructions/tuanldv/testcase-generator-mcp-starter-qc/copilot-instructions)<a href="https://agentmods.dev/instructions/tuanldv/testcase-generator-mcp-starter-qc/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/tuanldv/testcase-generator-mcp-starter-qc/copilot-instructions/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/instructions/tuanldv/testcase-generator-mcp-starter-qc/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/tuanldv/testcase-generator-mcp-starter-qc/copilot-instructions.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 | $0.00629 | $0.00629 |
| Opus 5 | $0.00315 | $0.00315 |
| Sonnet 5 | $0.00126 | $0.00126 |
| Haiku 4.5 | $0.00063 | $0.00063 |
Grade A, and why
testcase-generator-mcp-starter-qc copilot-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 8d 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.
This is a copy
100% identical to ai-testcase-generator-mcp copilot-instructions.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Instructions for Comprehensive TestCase MCP
Project Overview
This codebase implements a Model Context Protocol (MCP) server for generating comprehensive API test plans (positive, negative, and edge cases) from endpoint metadata. The server is written in TypeScript and exposes a single tool: generate_tests_excel.
Architecture & Key Components
- src/index.ts: Main MCP server entry point. Handles tool registration, LLM prompt construction, and Excel file generation. generation and Excel export.
- build/: Compiled JavaScript output. Do not edit directly.
Developer Workflows
- Install dependencies:
npm install - Build the server:
npm run build - Run the MCP server:
node build/index.js - Development with auto-rebuild:
npm run watch - Debugging:
Use
npm run inspectorto launch the MCP Inspector for stdio debugging.
Tooling & Usage
- The only exposed tool is
generate_tests_excel(seesrc/index.ts).- Required params:
endpoint(string),method(string) - Optional:
payload(object),extraContext(string)
- Required params:
- Tool output is an Excel file in
/generated. - The LLM prompt is carefully engineered for test case structure and boundary coverage (see
src/index.tsandsrc/generate_tests/generateTest_llm.ts).
Project Conventions & Patterns
- Environment variables (see
.env):MODEL_API_KEY(required)MODEL_API_URL,MODEL_NAME,MODEL_TEMPERATURE,MODEL_MAX_TOKENS,OUTPUT_DIR(optional)
- TypeScript strict mode is enforced (see
tsconfig.json). - No direct editing of build/: Always edit TypeScript sources in
src/. - Excel output: All test plans are written as
.xlsxfiles using thexlsxlibrary. - MCP config: For Claude Desktop or other clients, see
cline_mcp_settings.jsonfor server registration.
Integration Points
- LLM API: Uses Groq's OpenAI-compatible API (see
MODEL_API_URL). - MCP protocol: Communicates over stdio (see
src/index.ts). - Inspector: For debugging MCP protocol, use the Inspector script.
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.
- 8d ago First seen · 67 lines · 629 tokens per session scan A 03658c89d9de
testcase-generator-mcp-starter-qc copilot-instructions.md is an instructions file published in the GitHub repository TuanLdv/testcase-generator-mcp-starter-qc (0 stars, last pushed 18d ago), licensed MIT. It adds 629 tokens to every session, about $0.0031 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ai-testcase-generator-mcp copilot-instructions.md, differing in 0 lines, and is treated as a copy.
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