Borrowing it
Nothing to install: this file belongs to fegizii/SemanticScholarMCP. 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/fegizii/SemanticScholarMCP/main/CLAUDE.mdgit clone --depth 1 https://github.com/fegizii/SemanticScholarMCPWrote 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/fegizii/semanticscholarmcp/claude-md)<a href="https://agentmods.dev/instructions/fegizii/semanticscholarmcp/claude-md"><img src="https://agentmods.dev/badge/instructions/fegizii/semanticscholarmcp/claude-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 5.1 | $0.00808 | $0.00808 |
| Opus 5 | $0.00404 | $0.00404 |
| Sonnet 5 | $0.00162 | $0.00162 |
| Haiku 4.5 | $0.00081 | $0.00081 |
Grade A, and why
SemanticScholarMCP 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 7d 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 — 86 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
Semantic Scholar MCP Server is a Model Context Protocol (MCP) server providing access to the Semantic Scholar Academic Graph API. It offers 12 tools for searching papers/authors, retrieving citations/references, and downloading PDFs through an async HTTP interface.
Development Commands
Testing:
make test # Run all tests
make test-unit # Unit tests only (fast, no API calls)
make test-integration # Integration tests (requires SEMANTIC_SCHOLAR_API_KEY)
make test-performance # Performance/load tests
Code Quality:
make lint # Run flake8, isort, black checks
make format # Auto-format with black and isort
Setup:
make install-dev # Install with dev dependencies
pip install -e ".[test,dev,metadata]" # Alternative install
Testing Individual Components:
pytest tests/test_server.py::test_search_papers -v
pytest -m "not integration" # Skip integration tests
pytest -k "test_format_paper" # Run specific test patterns
Architecture Overview
Single-Module Design: All functionality in src/semantic_scholar_mcp/server.py (832 lines) using FastMCP framework.
Core Components:
- API Client:
make_api_request()handles HTTP requests with error handling - Formatters:
format_paper(),format_author()convert API responses - 12 MCP Tools: Paper search/retrieval, author search, citations, PDF downloads
- PDF Handler: Downloads with metadata embedding (requires PyPDF2)
Tool Categories:
- Paper tools:
search_papers,get_paper,get_paper_batch,get_paper_citations,get_paper_references - Author tools:
search_authors,get_author - Specialized:
search_snippets,get_citation_context,get_paper_pdf_info,download_paper_pdf
Configuration
API Key (Optional): Set SEMANTIC_SCHOLAR_API_KEY environment variable for higher rate limits. Server works without key but shares public rate limits.
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.
- 7d ago First seen · 86 lines · 808 tokens per session scan A cc5292df9f42
SemanticScholarMCP CLAUDE.md is an instructions file published in the GitHub repository fegizii/SemanticScholarMCP (3 stars, last pushed 1y ago), licensed MIT. It adds 808 tokens to every session, about $0.0040 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
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).
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.
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.
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).
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.