io.github.timescale/tiger-skills

MCPcommunity
v0.1.4io.github.timescaleUnknownUpdated 6mo agonpmGitHub

Provider agnostic skills implementation, with skills sourced from local paths or GitHub repositories

Emulate Claude Skills with any LLM via a Model Context Protocol (MCP) server. Skills are modular components that enhance the capabilities of an MCP-compatible agent by providing specific functionalities, workflows, and domain expertise. They transform a general-purpose agent into a specialized agent equipped with procedural knowledge that no model can fully possess. The goal is to be fully…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
6mo agoLast update
Package
Authorio.github.timescale
LicenseUnknown
Version0.1.4
Sourcemcp-registry
Trust Status
A
95/100Trusted
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+5/5
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance✓ Sigstore-verified · 37debeb
Dependencies60 resolved · 2 with advisories
Tool surface
Security scan⚠ Warnings (0)v0.1.4 · 20d ago
DEP@opentelemetry/sdk-node@0.208.0GHSA-q7rr-3cgh-j5r3 (transitive)
DEP@opentelemetry/auto-instrumentations-node@0.67.3GHSA-q7rr-3cgh-j5r3 (transitive)
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Emulate Claude Skills with any LLM via a Model Context Protocol (MCP) server. Skills are modular components that enhance the capabilities of an MCP-compatible agent by providing specific functionalities, workflows, and domain expertise. They transform a general-purpose agent into a specialized agent equipped with procedural knowledge that no model can fully possess. The goal is to be fully compatible with Anthropic's skill format. See their Agent Skills Spec and related documentation for more…

Keywords
mcp