Trust and health report
awesome-gpt3 - trust report
Sourced, dated trust signals - maintenance label posture, repository provenance, and security scan status. Not a composite safety grade.
GraphCanon updated today · GitHub synced today
Maintenance
Recency and activity heuristics from public GitHub metadata (maintenance label, momentum); methodology: github_public_v1.
last push 1048d ago
Provenance
Repository identity and fork provenance (github_public_v1).
- GitHub repo id: 281651068
- Not a fork
- Personal account
- Computed today
Security scan
Dependency advisory security scan when a lockfile is present. Not a full code audit.
- Status
- No lockfile
- Last scan
- today
- Scanner
- none
Method and caveats:these are sourced, dated heuristics from public GitHub data and optional dependency scans. A status like "no criticals found on 2026-07-11" is not a guarantee of safety. Read the full trust methodology · JSON report at /api/graphcanon/tools/elyase-awesome-gpt3/trust.
Common questions
- Is awesome-gpt3 maintained?
- awesome-gpt3 is archived on GitHub. GraphCanon treats archived repositories as dormant regardless of past activity.
- Is awesome-gpt3 safe to use?
- Last scanned today (none profile). Status: No lockfile. Absence of findings in our scan is not a security guarantee - see trust methodology for scope limits. GraphCanon does not certify awesome-gpt3 as safe - review maintenance, provenance, and scan findings on this page before adopting.
- Is awesome-gpt3 a fork?
- No. awesome-gpt3 is not flagged as a fork in GitHub metadata at the time of the last refresh.
- Does awesome-gpt3 have known security vulnerabilities?
- Last scanned today (none profile). Status: No lockfile. Absence of findings in our scan is not a security guarantee - see trust methodology for scope limits.
- How often is the awesome-gpt3 trust report updated?
- Trust signals refresh on GitHub ingest/refresh cycles and optional dependency/MCP scans. This report was computed today (methodology github_public_v1).
- What does GraphCanon never claim about awesome-gpt3?
- We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for awesome-gpt3. Signals are sourced heuristics with explicit limits - see trust methodology.
- How does GraphCanon assess trust for awesome-gpt3?
- Signals are sourced from public GitHub metadata and optional dependency/MCP manifest scans, each tagged with methodology version and computed date. GraphCanon does not publish a composite safety grade. Read trust methodology for full scope and limits.