excel-parser: XLSX parser for LLMs, RAG, LangChain, LangGraph, CrewAI, Claude, MCP

by knowledgestack · MCP Server · ★ 64

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 58/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentscitationscrewaidocument-intelligenceexcelexcel-parserknowledge-stacklangchainllmllm-tools

Quick Facts

Stars64
Forks9
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score58/100
Last Updated2026-09-02
Created2026-03-02
Platformsclaude-code, mcp, python
Est. Tokens~21k

About excel-parser

📊 Make XLSX LLM Ready 🤖 ks-xlsx-parser — the open-source Python library that parses Excel (.xlsx) files into citation-ready JSON for LLMs, RAG pipelines, and AI agents (LangChain

Compatible Skills

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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