Borrowing it
Nothing to install: this file belongs to ruliana/mcp-pkm-logseq. 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/ruliana/mcp-pkm-logseq/main/CLAUDE.mdgit clone --depth 1 https://github.com/ruliana/mcp-pkm-logseqWrote 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/ruliana/mcp-pkm-logseq/claude-md)<a href="https://agentmods.dev/instructions/ruliana/mcp-pkm-logseq/claude-md"><img src="https://agentmods.dev/badge/instructions/ruliana/mcp-pkm-logseq/claude-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/ruliana/mcp-pkm-logseq/claude-md"><img src="https://agentmods.dev/badge/instructions/ruliana/mcp-pkm-logseq/claude-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 | $0.00686 | $0.00686 |
| Opus 5 | $0.00343 | $0.00343 |
| Sonnet 5 | $0.00137 | $0.00137 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
mcp-pkm-logseq CLAUDE.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 9d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
A Model Context Protocol (MCP) server for interacting with Logseq Personal Knowledge Management system. This package enables AI assistants to access Logseq pages and blocks through the MCP interface, making personal knowledge available for retrieval during conversations.
The project consists of:
server.py: MCP server with resources and tools definitionrequest.py: HTTP client handling Logseq API communicationto_markdown.py: Converts Logseq page/block structure to markdown format
Environment Variables
LOGSEQ_API_KEY: API key for authenticating with LogseqLOGSEQ_URL: Logseq API endpoint (default: http://localhost:12315)
Commands
- Run tests:
uv run pytest src - Run single test:
uv run pytest src/mcp_pkm_logseq/test_file.py::test_function - Run tests for a single function:
uv run pytest src/mcp_pkm_logseq/test_file.py -k test_function - Install dependencies:
uv sync - Build package:
uv build - Publish package:
uv publish
Claude Code Task Management
Use these Claude Code slash commands to manage task documentation:
/project:new-task "Task Title"- Create a new task.md with comprehensive context/project:archive-task [optional-component]- Archive current task.md to the tasks directory/project:use-task-context [search-terms]- Find relevant context from past tasks/project:list-tasks [optional-component]- List all archived tasks with filtering
Project Structure
server.py: Main MCP server with:guide(): Resource showing initial instructionspersonal_notes(): Tool retrieving notes by topic tags
request.py: Handles HTTP requests to Logseq API with error handlingto_markdown.py: Data models and conversion logic:Pagedataclass: Page metadataBlockdataclass: Hierarchical block structurepage_to_markdown(): Main conversion function
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.
- 9d ago First seen · 61 lines · 686 tokens per session scan A 56c4b3ae9633
mcp-pkm-logseq CLAUDE.md is an instructions file published in the GitHub repository ruliana/mcp-pkm-logseq (9 stars, last pushed 1y ago), licensed MIT. It adds 686 tokens to every session, about $0.0034 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.
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