Borrowing it
Nothing to install: this file belongs to Cogni-AI-OU/vastai-host-mcp. 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/Cogni-AI-OU/vastai-host-mcp/main/.github/prompts/README.mdgit clone --depth 1 https://github.com/Cogni-AI-OU/vastai-host-mcpWrote 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/cogni-ai-ou/vastai-host-mcp/readme)<a href="https://agentmods.dev/commands/cogni-ai-ou/vastai-host-mcp/readme"><img src="https://agentmods.dev/badge/commands/cogni-ai-ou/vastai-host-mcp/readme/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/cogni-ai-ou/vastai-host-mcp/readme"><img src="https://agentmods.dev/badge/commands/cogni-ai-ou/vastai-host-mcp/readme.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 | $0.01469 |
| Opus 5.5 | $0.00000 | $0.00588 |
| Sonnet 5.5 | $0.00000 | $0.00294 |
| Haiku 4.5 | $0.00000 | $0.00147 |
Grade A, and why
README 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 29d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Prompts
This directory contains prompt files that can be used with AI agents (Claude Code, GitHub Copilot, etc.) to perform standardized tasks across repositories.
- For the agent-facing prompt catalog, see AGENTS.md.
Prompt File Formats
This directory supports two types of prompt formats:
Markdown Format (.md)
Markdown prompts (.prompt.md) are human-readable prompt templates designed for use in:
- VS Code: Reference these prompts in GitHub Copilot Chat or other AI assistants within your IDE
- Claude Code: Copy and paste content directly or reference the file URL
- Manual use: Easy to read and adapt for any AI tool
Markdown prompts are ideal for detailed, structured instructions with checklists and examples.
YAML Format (.yml or .yaml)
YAML prompts (.prompt.yml or .prompt.yaml) follow the GitHub Models prompt format
and are designed for:
- GitHub Models: Direct integration with GitHub's AI model playground
- Programmatic use: Machine-readable format for automated workflows
- API integration: Use with GitHub Models API and other model providers
YAML prompts define structured message exchanges with specific roles (system, user, assistant) and model configuration.
How to Use
Markdown Prompts (.prompt.md)
With Claude Code
-
In an Issue or PR: Mention
@claudeand provide the prompt content or reference the file:@claude Please follow the checklist in https://github.com/Cogni-AI-OU/.github/blob/main/.github/prompts/repository-setup.prompt.md to review and update this repository's configuration. -
Directly: Copy the prompt content and paste it into a Claude Code conversation.
With GitHub Copilot (VS Code)
-
In VS Code Chat: Open Copilot Chat and reference the prompt:
@workspace Please follow the repository setup checklist from .github/prompts/repository-setup.prompt.md to standardize this repository.
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.
- 29d ago First seen · 180 lines · 0 tokens per session scan A 647dc0b33381
README is a command published in the GitHub repository Cogni-AI-OU/vastai-host-mcp (0 stars, last pushed 29d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,469 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 2026-10-08.
README compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| READMECogni-AI-OU/vastai-host-mcp | Command | 0 | 29d ago | MIT | A | 0 | GitHub Copilot |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |