ssd-ai

Name: ssd-ai
Rating: 2.76 (1 reviews)
Author: ssdeanx

#3450 · by ssdeanx

agent tool-use multi-step

2.76/ 5.00

cautionBeta

Mar 3, 2026 at 7:21 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

high23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

0 of 3 sub-signals with data

Known CVEsno data—

Weight redistributed to sub-signals with data

Dependency Healthno data—

Weight redistributed to sub-signals with data

Supply Chainno data—

Weight redistributed to sub-signals with data

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 4 checks

via Health checks

Response Latency25%5.0

p99: 162ms, p50: 131ms

via Health checks

Error Rate20%5.0

0.00% error rate (0/4)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

3 of 4 sub-signals with data

Commit Recency37%3.0

via GitHub

Release Cadence31%2.0

via GitHub

Issue Responseno data—

Weight redistributed to sub-signals with data

CI/CD Presence31%2.0

via GitHub Actions

Downloads, stars, dependents, and growth trajectory

1 of 4 sub-signals with data

Download Volumeno data—

Weight redistributed to sub-signals with data

GitHub Stars100%0.0

3 stars

via GitHub

Dependent Packagesno data—

Weight redistributed to sub-signals with data

Growth Trendno data—

Weight redistributed to sub-signals with data

License, documentation, security policy, changelog

4 of 4 sub-signals with data

Open Source30%5.0

Public repo with OSI-approved license (mit)

via GitHub

Documentation25%5.0

Docs site present with comprehensive README (>2000 bytes + examples)

via GitHub

Security Policy20%2.0

No SECURITY.md found

via GitHub

Changelog25%3.0

CHANGELOG.md present but no releases found

via GitHub

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%2.0

Internal: 2.0 (1 services), External: 2.0 (13 followers, 241 stars)

via Fabric index

Org Maturity30%3.0

User account, 1.2 years old

via GitHub

Community Standing20%5.0

102 public repositories

via GitHub

Cross-Platform20%1.0

Present on 1 platform(s): github

via Registry scan

About this score

Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

AI development assistant that implements the **Model Context Protocol (MCP)** standard. It provides 36 specialized tools through natural language keyword recognition, helping developers perform complex tasks intuitively. ### Core Values - **Natural Language**: Execute tools automatically through Korean/English keywords - **Intelligent Memory**: Context management and compression using SQLite - **Multi-Language Support**: TypeScript, JavaScript, Python code analysis - **Performance Optimization**: Project caching system - **Enterprise Quality**: 100% test coverage and strict type system - **Long-Running Support**: Task management for asynchronous operations - **Large-Scale Data**: Cursor-based pagination --- ## Key Features ### 1. Memory Management System 10 tools for maintaining context across sessions: - **Intelligent Storage**: Information classification and priority management by category - **Context Compression**: Priority-based context compression system - **Session Restora

Package Availability (30d)

100.00%

p50: 131ms · p99: 162ms

Avg Latency

138ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Transparency & Compliance4/5 passed

✓

Open Source CodePublic repository on GitHub