Borrowing it
Nothing to install: this file belongs to rossshannon/pinboard-bookmarks-mcp-server. 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/rossshannon/pinboard-bookmarks-mcp-server/main/CLAUDE.mdgit clone --depth 1 https://github.com/rossshannon/pinboard-bookmarks-mcp-serverWrote 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/rossshannon/pinboard-bookmarks-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/rossshannon/pinboard-bookmarks-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/rossshannon/pinboard-bookmarks-mcp-server/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/rossshannon/pinboard-bookmarks-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/rossshannon/pinboard-bookmarks-mcp-server/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 | $0.01998 | $0.01998 |
| Opus 5 | $0.00999 | $0.00999 |
| Sonnet 5 | $0.00400 | $0.00400 |
| Haiku 4.5 | $0.00200 | $0.00200 |
Grade A, and why
pinboard-bookmarks-mcp-server 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 11d 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 — 195 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
This is a Pinboard MCP Server built on FastMCP 2.0 that provides read-only access to Pinboard.in bookmarks for LLMs. The server exposes bookmark data via MCP tools, enabling LLMs to search, filter, and retrieve bookmark metadata during inference.
Architecture & Design
Based on the PRD (docs/pinboard_mcp_server_prd.md), the system follows this design:
- FastMCP 2.0 provides the MCP scaffolding with Tool abstraction, async FastAPI server, and JSON-Schema validation
- pinboard.py wrapper simplifies Pinboard API calls and error handling
- Read-only design with four main tools:
searchBookmarks,listRecentBookmarks,listBookmarksByTags,listTags - In-memory caching using LRU cache (1000 query results) with
posts/updatepolling for cache invalidation - Rate limiting respects Pinboard's 3-second guideline between requests
Key Implementation Details
- Field mapping: Pinboard's
description→title,extended→notesin MCP responses - Authentication: Uses
PINBOARD_TOKENenvironment variable (format:username:hex) - Performance targets: P50 < 250ms cached, P95 < 600ms cold
- Cache strategy: Seeds from
posts/allAPI call, invalidates usingposts/updatetimestamp checks
Tech Stack (Planned)
- FastMCP 2.0, FastAPI, Uvicorn/Gunicorn
- pinboard.py ≥ 2.0.0
- Poetry for dependency management
- pytest, pytest-asyncio, responses, vcr.py for testing
- ruff, mypy for linting and type checking
- Optional: redis-lite for cache backend, OpenTelemetry for observability
Development Notes
- Target ≥90% test coverage with mocked
pinboard.Pinboardusing pytest-monkeypatch - Integration tests use vcr.py cassettes for API replay
- Load testing with k6 targeting 30 RPS
- Never log Pinboard API tokens for security
- All dates returned in ISO-8601 Zulu format
- When introducing or upgrading dependencies, update the
pyproject.tomlfile with the new version and runpoetry updateto update the lock file. Do a search online for appropriate version numbers rather than relying on your memory. - Test Coverage Requirements: The CI pipeline requires 75% test coverage to pass. Current coverage exceeds requirements with comprehensive testing of search methods, error handling, and edge cases.
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.
- 11d ago First seen · 195 lines · 1,998 tokens per session scan A a35b4b2d33ec
pinboard-bookmarks-mcp-server CLAUDE.md is an instructions file published in the GitHub repository rossshannon/pinboard-bookmarks-mcp-server (10 stars, last pushed 4mo ago), licensed MIT. It adds 1,998 tokens to every session, about $0.0100 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
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.