Is JARVIS / HuggingGPT safe?
JARVIS / HuggingGPT scores 36.2/100 (Grade D), ranked #302 of 328 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types).
The public evidence: no package-provenance attestation found;
OSSF Scorecard rates its supply-chain practices 2.3/10;
55% of recent commits are signed;
last pushed 2025-07-29. Every point is earned from checkable signals — never paid placement. How scoring works →
Quick Trust Read
Verdict
Thin or incomplete trust evidence. Review carefully before production use.
36.2/100 · Grade D
Strongest Signal
Transparency
10.5/17
Weakest Signal
Maintenance
0/20
What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-06-24
Rank Moved
Rank dropped 35 spots (#261 → #296)
2026-06-23
Rank Moved
Rank dropped 21 spots (#240 → #261)
2026-06-22
Rank Moved
Rank dropped 11 spots (#229 → #240)
Maintainer Checklist
Raise Scorecard signalsCurrent OSSF Scorecard is 2.3/10. Tighten the weakest checks to improve public safety evidence.
Publish provenanceAdd package provenance or release attestations so users can verify where shipped artifacts came from.
Refresh maintenance signalsThe repo was last pushed 347 days ago. Fresh activity helps separate stable projects from stale ones.
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →
Signals refreshed2026-07-11 04:00 UTC·Repo last pushed 347 days ago — may be stale
Rank Trend
2026-07-052026-07-11
Activity & Reach
Stars
25.0k
Forks
2.2k
Last Push
2025-07-29
347 days ago
Commits (4 wk)
0
Downloads (7d)
—
HN mentions (30d)
0
Open Issues
3506
Rank Change
=
was #302
Analysis
HVTrust Dimensions
36.2 / 100 · 100.0% confidence
Safety / IntegrityOSSF, provenance, signatures
5.6 / 25
Identity / ProvenanceListing and build link
10.8 / 18
TransparencyLicense and public checks
10.5 / 17
MaintenanceFreshness and commits
0.0 / 20
AdoptionStars and downloads
10.6 / 20
Activity Inputs
41.9 / 100
StarsRepository reach
26.4 / 30
FreshnessLast push recency
0.0 / 25
ActivityRecent commits
0.0 / 25
CommunityFork signal
15.5 / 20
Supply Chain Trust
Package Provenance
None
No package attestations found
OSSF Scorecard
2.3 / 10
OpenSSF Scorecard · scanned Jul 10, 2026
Signed Commits
55%
of last 100 commits verified
Binary-Artifacts10
Branch-Protection0
CI-Tests0
CII-Best-Practices0
Code-Review0
Contributors10
Dangerous-Workflow-1
Dependency-Update-Tool0
Fuzzing0
License10
Maintained0
Packaging-1
Pinned-Dependencies0
SAST0
Security-Policy10
Signed-Releases-1
Token-Permissions-1
Vulnerabilities0
Is JARVIS / HuggingGPT safe?
Public trust evidence for JARVIS / HuggingGPT is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.
Does JARVIS / HuggingGPT publish package provenance?
No published build provenance is currently detected for JARVIS / HuggingGPT. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does JARVIS / HuggingGPT have an OpenSSF Scorecard?
JARVIS / HuggingGPT has an OpenSSF Scorecard score of 2.3/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.
Is JARVIS / HuggingGPT actively maintained?
Stale. The repository has not been pushed to in 347 days. Consider whether the project is still being maintained.
What license does JARVIS / HuggingGPT use?
JARVIS / HuggingGPT ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are JARVIS / HuggingGPT's commits signed?
55% of the last 100 commits to JARVIS / HuggingGPT are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
MCP Server Support
None detected
No MCP server signal detected.
Detailed evidence is not shown in the public view.
Credential signal:
API keys or service config markers documented.
Tool / Plugin Surface
medium confidence
1 tags
Broad capability areas detected.
code
Detailed evidence is not shown in the public view.
Package Provenance Drift
N/A
No package source configured
Detailed evidence is not shown in the public view.
MCP signal live
External deps live
Tool / plugin surface live
Package provenance drift live
How this surface has changed
Detected changes to JARVIS / HuggingGPT's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.
2026-06-05
Provider Added
Runtime surface grew — new detected provider dependency: OpenAI
Maintain JARVIS / HuggingGPT?
HVTrust scores JARVIS / HuggingGPT from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Data sources
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI · Algolia HN Search API
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON
