SharpClawCode: C# coding-agent harness — sessions, tools, permissions, providers, MCP, plugins

by clawdotnet · MCP Server · ★ 105

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

How to install SharpClawCode

git clone https://github.com/clawdotnet/SharpClawCode.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

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.

aianthropicclaude-codeclicoding-agentcsharpdeveloper-toolsdotnetdotnet10mcp

Quick Facts

Stars105
Forks20
LanguageC#
CategoryMCP Server
LicenseMIT
Quality Score67/100
Open Issues4
Last Updated2026-10-16
Created2026-04-07
Platformsclaude-code, cli, dotnet, mcp
Est. Tokens~21k

About SharpClawCode

SharpClaw Code SharpClaw Code is a C# and .NET-native coding agent runtime for teams building AI developer tools, agentic CLIs, and MCP-enabled workflows. It combines durable sessions, permission-aware tool execution, provider abstraction, structured telemetry, and an automation-friendly command-line surface in a runtime shaped for real .NET systems: explicit, testable, and operationally legible.

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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:

View on GitHub → Browse MCP Server tools