@th0rgal/ralph-wiggum

Name: @th0rgal/ralph-wiggum
Rating: 2.72 (1 reviews)
Author: th0rgal

#3550 · by th0rgal

llm reasoning tool-use vision 200k context

2.72/ 5.00

cautionBeta

Mar 5, 2026 at 12:52 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

medium23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

1 of 3 sub-signals with data

Known CVEs100%5.0

No known CVEs

via OSV.dev

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 6 checks

via Health checks

Response Latency25%3.0

p99: 612ms, p50: 345ms

via Health checks

Error Rate20%5.0

0.00% error rate (0/6)

via Health checks

Incident History20%3.0

2 incidents in last 90 days

via Incidents table

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

0 of 4 sub-signals with data

Commit Recencyno data—

Weight redistributed to sub-signals with data

Release Cadenceno data—

Weight redistributed to sub-signals with data

Issue Responseno data—

Weight redistributed to sub-signals with data

CI/CD Presenceno data—

Weight redistributed to sub-signals with data

Downloads, stars, dependents, and growth trajectory

2 of 4 sub-signals with data

Download Volume67%2.0

502 weekly downloads

via npm / PyPI

GitHub Starsno data—

Weight redistributed to sub-signals with data

Dependent Packagesno data—

Weight redistributed to sub-signals with data

Growth Trend33%1.0

-33.7% week-over-week

via npm

License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data—

Weight redistributed to sub-signals with data

Documentationno data—

Weight redistributed to sub-signals with data

Security Policyno data—

Weight redistributed to sub-signals with data

Changelogno data—

Weight redistributed to sub-signals with data

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%3.0

Internal: 1.0 (0 services), External: 3.0 (466 followers, 1562 stars)

via Fabric index

Org Maturity30%5.0

User account, 7.6 years old

via GitHub

Community Standing20%5.0

200 public repositories

via GitHub

Cross-Platform20%3.0

Present on 2 platform(s): github, npm

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

Ralph Wiggum technique for iterative AI development loops with multi-agent support

Package Availability (30d)

100.00%

p50: 345ms · p99: 612ms

Avg Latency

370ms

averaged across 30d health checks

Weekly Downloads

502-34%

npm weekly

Incidents & Alertslast 90 days

Mar 5Trust score decreased by 1.202.72

Mar 2Trust score increased by 0.633.92

Feb 21@th0rgal/ralph-wiggum added to Trust Index2.42

Showing 3 of 3 events

Score History11 snapshots

5.003.752.501.250.00

Feb 21Mar 5

Community & Ecosystemadoption signals

502

Weekly Downloads

npm

Data Sources6 indexed

◎

OSV.devCVE database · vulnerability scanning for npm & PyPI packages

◈

GitHub APICommits, issues, releases, repo metadata, transparency checks

⬡

npm RegistryPackage metadata, weekly downloads, maintainers, dependencies

⬡

PyPIPackage metadata, weekly downloads, dependency tree

△

HTTP Health Checks15-min pings · uptime, latency, status monitoring

◎

PyPI StatsDownload statistics and trends

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