pulsemcp Safe content atomic mcp-remote

SkillSync

Gates all skill installations behind comprehensive threat detection, scanning GitHub repositories against 60+ threat patterns across categories including prompt injection, reverse shells, credential theft, supply chain attacks, and cryptocurrency mining. Critical threats are permanently blocked while medium/high risk installations require explicit force override. Provides search and AI-powered discovery of skills from the SkillsMP marketplace, cloud sync capabilities, and compatibility across multiple MCP clients including Claude Code, OpenClaw, Cursor, Windsurf, GitHub Copilot, Zed, and nanobot.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: version-control
Source: PulseMCP
Repository: github.com/adityasugandhi/skillsync-mcp
Author type: human
Updated: 2026-08-30

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MCP

Resolve SkillSync from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"