CodingAgentExplorer: Real-time .NET proxy and dashboard for inspecting AI coding agent API calls (currently supports Claude Code)

by tndata · MCP Server · ★ 53

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

How to install CodingAgentExplorer

git clone https://github.com/tndata/CodingAgentExplorer.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 73/100

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.

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.

agentic-aiagentic-ai-developmentanthropicclaude-codecsharpdotnetmcp-tools

Quick Facts

Stars53
Forks13
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score73/100
Open Issues3
Last Updated2026-10-31
Created2026-02-08
Platformsclaude-code, mcp, node
Est. Tokens~16k

About CodingAgentExplorer

Coding Agent Explorer A real-time .NET proxy and dashboard for inspecting Claude Code API calls. Intercept, visualize, and analyze every request and response between Claude Code and the Anthropic API. With Coding Agent Explorer, you can: See every API request and response between Claude Code and the Anthropic API in real time Inspect full request/response headers, bodies, and streaming SSE events...

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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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