Trust Signal Breakdown high 23 sub-signals across 6 dimensions
Vulnerability & Safety Γ0.25 4.9 CVEs, dependency health, and supply chain integrity
2 of 3 sub-signals with data
Known CVEs 57% 5.0
No known CVEs
via OSV.dev
Dependency Health no data β
Weight redistributed to sub-signals with data
Supply Chain 43% 4.9
5 transitive CVEs found (penalty: -0.15)
via npm provenance
Operational Reliability Γ0.15 4.8 Uptime, latency, error rates, and incident history
4 of 4 sub-signals with data
Uptime 35% 5.0
100.00% over 2 checks
via Health checks
Response Latency 25% 5.0
p99: 175ms, p50: 175ms
via Health checks
Error Rate 20% 5.0
0.00% error rate (0/2)
via Health checks
Incident History 20% 4.0
1 incidents in last 90 days
via Incidents table
Maintenance Activity Γ0.15 4.3 Commit recency, release cadence, issue response, CI/CD
4 of 4 sub-signals with data
Commit Recency 30% 5.0
via GitHub
Release Cadence 25% 2.0
via GitHub
Issue Response 20% 5.0
via GitHub
CI/CD Presence 25% 5.0
via GitHub Actions
Adoption Γ0.15 3.0 Downloads, stars, dependents, and growth trajectory
3 of 4 sub-signals with data
Download Volume 43% 2.0
294 weekly downloads
via npm / PyPI
GitHub Stars 36% 3.0
1,093 stars
via GitHub
Dependent Packages no data β
Weight redistributed to sub-signals with data
Growth Trend 21% 5.0
+5780.0% week-over-week
via npm
Transparency Γ0.15 3.6 License, documentation, security policy, changelog
4 of 4 sub-signals with data
Open Source 30% 5.0
Public repo with OSI-approved license (mit)
via GitHub
Documentation 25% 5.0
Docs site present with comprehensive README (>2000 bytes + examples)
via GitHub
Security Policy 20% 2.0
No SECURITY.md found
via GitHub
Changelog 25% 2.0
No CHANGELOG.md and no releases found
via GitHub
Publisher Trust Γ0.15 3.7 Track record, org maturity, community standing
4 of 4 sub-signals with data
Track Record 30% 2.0
Internal: 1.0 (0 services), External: 2.0 (8 followers, 1094 stars)
via Fabric index
Org Maturity 30% 5.0
User account, 7.6 years old
via GitHub
Community Standing 20% 3.0
11 public repositories
via GitHub
Cross-Platform 20% 5.0
Present on 3 platform(s): github, npm, pypi
via Registry scan
Scored across 23 sub-signals in 6 dimensions Scoring engine v1 (beta) β actively being expanded Phase 1: Core sub-signal architecture (live) Phase 2: Permission scope & expanded collection (in progress)
Trust Assessment AI Assessment
Edict is an MIT-licensed multi-agent orchestration system by cft0808 that implements a hierarchical AI workflow inspired by Tang Dynasty bureaucracy, featuring 9+ specialized agents with real-time monitoring and audit capabilities. The service shows strong operational reliability (100% uptime, zero CVEs) and active maintenance, though adoption remains limited with 350 weekly downloads and a single maintainer. The novel architectural approach is well-documented but carries concentration risk typical of solo-maintained infrastructure projects.
Generated by Fabric AI Β· Mar 4, 2026 at 4:55 AM
Package Availability (30d)
100.00%
p50: 175ms Β· p99: 175ms
Avg Latency
165ms
averaged across 30d health checks
Weekly Downloads
294+999%
npm + PyPI weekly
Transparency & Compliance 4/5 passed
Incidents & Alerts last 90 days
Score History 19 snapshots
Mar 3 Mar 5
Community & Ecosystem adoption signals
294
Weekly Downloads
npm + PyPI
Supply Chain & Dependencies trust chain
Showing 5 of 5 dependencies
Data Sources 6 indexed
β
OSV.dev CVE database Β· vulnerability scanning for npm & PyPI packages
β
GitHub API Commits, issues, releases, repo metadata, transparency checks
⬑
npm Registry Package metadata, weekly downloads, maintainers, dependencies
⬑
PyPI Package metadata, weekly downloads, dependency tree
β³
HTTP Health Checks 15-min pings Β· uptime, latency, status monitoring
β
PyPI Stats Download statistics and trends
Are you the publisher? Claim this profile to unlock deeper evaluation, real-time monitoring,
Claim Provider Report Issue
Share this Trust Score Generate a scorecard image optimised for X, LinkedIn and other social platforms.
β¬ Download Score Card
