Is Guardrails AI safe?
Guardrails AI scores 83.9/100 (Grade A), ranked #30 of 328 tracked open-source AI agent projects, on evidence coverage A (4 of 5 independent signal types).
The public evidence: its packages ship with cryptographic provenance;
OSSF Scorecard rates its supply-chain practices 6.5/10;
100% of recent commits are signed;
last pushed 2026-07-10. Every point is earned from checkable signals — never paid placement. How scoring works →
Quick Trust Read
Verdict
Strong public trust posture, backed by multiple independent signals.
83.9/100 · Grade A
Strongest Signal
Identity / Provenance
18.0/18
Weakest Signal
Adoption
15.4/20
What Would Improve It
Improve adoption to lift the weakest part of the trust profile.
Recent Changes
2026-06-18
HVTrust Changed
HVTrust up 3.2pts (80.2 → 83.4)
Maintainer Checklist
Raise Scorecard signalsCurrent OSSF Scorecard is 6.5/10. Tighten the weakest checks to improve public safety evidence.
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade A reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage A is separate — it grades how many independent signal types back the score (4 of 5), so a high score on thin evidence stays visible. Full methodology →
Signals refreshed2026-07-11 04:00 UTC·Repo last pushed yesterday
Rank Trend
2026-07-052026-07-11
Activity & Reach
Stars
7.1k
Forks
647
Last Push
2026-07-10
yesterday
Commits (4 wk)
27
Downloads (7d)
41,090
pypi
HN mentions (30d)
34
Open Issues
28
Rank Change
=
was #30
Analysis
HVTrust Dimensions
83.9 / 100 · 100.0% confidence
Safety / IntegrityOSSF, provenance, signatures
20.6 / 25
Identity / ProvenanceListing and build link
18.0 / 18
TransparencyLicense and public checks
14.0 / 17
MaintenanceFreshness and commits
17.7 / 20
AdoptionStars and downloads
15.4 / 20
Activity Inputs
79.3 / 100
StarsRepository reach
23.1 / 30
FreshnessLast push recency
24.9 / 25
ActivityRecent commits
18.1 / 25
CommunityFork signal
13.1 / 20
Supply Chain Trust
Package Provenance
Verified
pypi attestation
OSSF Scorecard
6.5 / 10
OpenSSF Scorecard · scanned Jul 8, 2026
Signed Commits
100%
of last 100 commits verified
Binary-Artifacts10
Branch-Protection5
CI-Tests10
CII-Best-Practices0
Code-Review10
Contributors10
Dangerous-Workflow10
Dependency-Update-Tool10
Fuzzing0
License10
Maintained10
Packaging10
Pinned-Dependencies4
SAST0
Security-Policy0
Signed-Releases-1
Token-Permissions0
Vulnerabilities7
Is Guardrails AI safe?
Public supply-chain signals for Guardrails AI are strong: it has multiple independent trust indicators in place. This does not replace your own security review, but Guardrails AI carries less obvious unverified-evidence risk than projects with thin signals.
Does Guardrails AI publish package provenance?
Yes. Guardrails AI's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.
Does Guardrails AI have an OpenSSF Scorecard?
Guardrails AI has an OpenSSF Scorecard score of 6.5/10. 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 Guardrails AI actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does Guardrails AI use?
Guardrails AI ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Guardrails AI's commits signed?
100% of the last 100 commits to Guardrails AI 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
low confidence
Unknown
Package source metadata is missing or inconclusive
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 Guardrails AI'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 dependencies: Anthropic, OpenAI
2026-06-05
Provenance Added
Package provenance attestation detected
Maintain Guardrails AI?
HVTrust scores Guardrails AI 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.
