Borrowing it
Nothing to install: this file belongs to frap129/lorekeeper-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/frap129/lorekeeper-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/frap129/lorekeeper-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/frap129/lorekeeper-mcp/agents-md)<a href="https://agentmods.dev/instructions/frap129/lorekeeper-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/frap129/lorekeeper-mcp/agents-md/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/frap129/lorekeeper-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/frap129/lorekeeper-mcp/agents-md.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 | $0.00584 | $0.00584 |
| Opus 5.5 | $0.00234 | $0.00234 |
| Sonnet 5.5 | $0.00117 | $0.00117 |
| Haiku 4.5 | $0.00058 | $0.00058 |
Grade A, and why
lorekeeper-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 1mo 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenSpec Instructions
These instructions are for AI assistants working in this project.
Always open @/openspec/AGENTS.md when the request:
- Mentions planning or proposals (words like proposal, spec, change, plan)
- Introduces new capabilities, breaking changes, architecture shifts, or big performance/security work
- Sounds ambiguous and you need the authoritative spec before coding
Use @/openspec/AGENTS.md to learn:
- How to create and apply change proposals
- Spec format and conventions
- Project structure and guidelines
Keep this managed block so 'openspec update' can refresh the instructions.
Agent Guidelines for LoreKeeper MCP
Commands
- Run all tests:
just test - Run single test file:
uv run pytest tests/test_cache/test_db.py - Run single test:
uv run pytest tests/test_cache/test_db.py::test_function_name - Lint:
just lint - Format:
just format - Type check:
just type-check - All quality checks:
just check
Code Style
- Line length: 100 characters max
- Python version: 3.11+
- Type hints: Required on all functions (strict mypy). Use
dict[str, Any],list[Type],Type | None(noOptional) - Imports: Standard library → third-party → local (ruff handles sorting)
- Quotes: Double quotes
- Indentation: 4 spaces
- Async: Use
async deffor all I/O operations; tests use@pytest.mark.asyncioor rely onasyncio_mode = "auto"
Conventions
- Naming:
snake_casefor functions/variables,PascalCasefor classes,UPPER_CASEfor constants - Docstrings: Google style with Args, Returns, Raises sections on public functions
- Error handling: Use custom exceptions (
ApiError,NetworkError), log warnings for non-fatal errors - Logging:
logger = logging.getLogger(__name__)at module level, uselogger.debug/info/warning/error - Testing: Fixtures in
conftest.py, userespx.mockfor HTTP mocking, prefer async fixtures withyield
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.
- 1mo ago First seen · 54 lines · 584 tokens per session scan A a7129de390d0
lorekeeper-mcp AGENTS.md is an instructions file published in the GitHub repository frap129/lorekeeper-mcp (2 stars, last pushed 3mo ago), licensed MIT. It adds 584 tokens to every session, about $0.0023 per session on Opus 5.5. 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
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).