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 instructions/mhoshdev/prompt-store-mcp/agents-mdgit clone --depth 1 https://github.com/mhoshdev/prompt-store-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/instructions/mhoshdev/prompt-store-mcp/agents-md)<a href="https://agentmods.dev/instructions/mhoshdev/prompt-store-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/mhoshdev/prompt-store-mcp/agents-md.svg" alt="Measured on agentmods" 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 | $0.00197 | $0.00197 |
| Opus 5 | $0.00098 | $0.00098 |
| Sonnet 5 | $0.00039 | $0.00039 |
| Haiku 4.5 | $0.00020 | $0.00020 |
Grade A, and why
prompt-store-mcp AGENTS.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 4d 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.
What it actually says
prompt-store-mcp Development Guidelines
Auto-generated from all feature plans. Last updated: 2026-02-19
Active Technologies
- Node.js v20+ TypeScript
- @modelcontextprotocol/sdk (stdio transport)
- better-sqlite3
- handlebars
- zod
Project Structure
src/
tests/
Commands
# Install dependencies
pnpm install
# Run tests
pnpm test
# Run linting
pnpm lint
# Type check
pnpm typecheck
# Start MCP server
pnpm start
# Reset database
pnpm start -- --reset
Code Style
TypeScript: Follow standard conventions with strict mode enabled. Use Zod for runtime validation.
Recent Changes
- 001-mcp-prompt-store: MCP server for local prompt management with SQLite storage
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.
- 4d ago First seen · 52 lines · 197 tokens per session scan A b2e482291990
prompt-store-mcp AGENTS.md is an instructions file published in the GitHub repository mhoshdev/prompt-store-mcp (1 stars, last pushed 6mo ago), licensed MIT. It adds 197 tokens to every session, about $0.0010 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 2026-08-31.
Other instructions, from other repositories
Awesome-Prompt-Engineering AGENTS.md
Instructions for natnew/Awesome-Prompt-Engineering, covering agents.md, repository north star, agent role, trust boundary and read order.
pydantic-ai-gepa AGENTS.md
AGENTS.md instructions for indexedlabs/pydantic-ai-gepa, covering repository guidelines, mighty workflow, project structure & module organization, build, test, and development commands and coding style & naming conventions.
llm-ide-rules typescript.instructions.md
Instructions for iloveitaly/llm-ide-rules, covering typescript and dates & times.
SkillOpt AGENTS.md
Instructions for mitkox/SkillOpt, covering agent instructions for skillopt, project identity, default example workflow, documentation expectations and repo hygiene.
vscode-copilot-chat model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.
comfy-prompt-studio AGENTS.md
Instructions for yxhpy/comfy-prompt-studio, covering agents.md - ai 代理配置文档, ai 提供商, 1. ollama (默认), 2. gemini and 提示词生成服务.