LLM Guard

The Security Toolkit for LLM Interactions

Security & Guardrails Python Grade C Needs review MIT
Compare → Suggest correction
Listing state
Needs review
HVTrust
58.2/100 · Grade C
Evidence coverage
Grade A · 4/5 signals
Last push
2026-07-08 · 3d ago
Recent change
Warning +6

Is LLM Guard safe? LLM Guard scores 58.2/100 (Grade C), ranked #180 of 328 tracked open-source AI agent projects, on evidence coverage A (4 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 5.6/10; recent commits are unsigned; last pushed 2026-07-08. Every point is earned from checkable signals — never paid placement. How scoring works →

Active listing, but review is needed
  • [5.1] repository is archived

Quick Trust Read

Verdict
Promising trust profile, but some evidence still deserves review.
58.2/100 · Grade C
Strongest Signal
Transparency
13.3/17
Weakest Signal
Safety / Integrity
7.0/25
What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-07-09
Warning Issued
Warning: eligibility issues detected
2026-07-09
Rank Moved
Rank rose 13 spots (#185 → #172)
2026-07-08
Activity Resumed
Activity resumed
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 5.6/10. Tighten the weakest checks to improve public safety evidence.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.
Review Flags
[5.1] repository is archived
61.7
Activity Score · out of 100
58.2
HVTrust Score · out of 100
#180
Global Rank · of 328
#3

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C 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 refreshed 2026-07-11 04:00 UTC · Repo last pushed 3 days ago

Rank Trend

2026-07-05 2026-07-11

Activity & Reach

Stars
3.2k
Forks
418
Last Push
2026-07-08
3 days ago
Commits (4 wk)
1
Downloads (7d)
55,564
pypi
HN mentions (30d)
0
Open Issues
12
Rank Change
=
was #180

Analysis

HVTrust Dimensions

58.2 / 100 · 100.0% confidence
Safety / IntegrityOSSF, provenance, signatures
7.0 / 25
Identity / ProvenanceListing and build link
10.8 / 18
TransparencyLicense and public checks
13.3 / 17
MaintenanceFreshness and commits
13.0 / 20
AdoptionStars and downloads
14.7 / 20

Activity Inputs

61.7 / 100
StarsRepository reach
21.0 / 30
FreshnessLast push recency
24.6 / 25
ActivityRecent commits
3.8 / 25
CommunityFork signal
12.2 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
5.6 / 10
OpenSSF Scorecard · scanned Jul 10, 2026
Signed Commits
Unable to query
Binary-Artifacts 10
Branch-Protection 1
CI-Tests 4
CII-Best-Practices 0
Code-Review 8
Contributors 0
Dangerous-Workflow 10
Dependency-Update-Tool 10
Fuzzing 0
License 10
Maintained 0
Packaging -1
Pinned-Dependencies 0
SAST 8
Security-Policy 10
Signed-Releases -1
Token-Permissions 0
Vulnerabilities 10

Is LLM Guard safe?

LLM Guard has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.
Does LLM Guard publish package provenance?
No published build provenance is currently detected for LLM Guard. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does LLM Guard have an OpenSSF Scorecard?
LLM Guard has an OpenSSF Scorecard score of 5.6/10. 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 LLM Guard actively maintained?
Actively maintained. The repository was pushed to within the last 3 day(s).
What license does LLM Guard use?
LLM Guard ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

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.

Compare LLM Guard head-to-head

Ranked neighbours in Security & Guardrails

AI agent surface

Scored in HVTrust

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.
External Service Dependencies
None detected
No clear third-party provider dependency detected.
Credential signal: No explicit API-key/config marker detected.
Tool / Plugin Surface
high confidence
Declared
Declared plugin/integration surface 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 LLM Guard'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.

2026-07-08
Activity Resumed
Activity resumed
2026-06-05
Tool Surface Changed
Detected tool/plugin surface changed: none → declared

Maintain LLM Guard?

HVTrust scores LLM Guard 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.

Reputation Timeline

Rank 7HVTrust 3Grade 3Listed 1Scorecard 1Surface 1Score 1Fresh 1Warning Issued 1
2026-07-09
Warning Issued
Warning: eligibility issues detected
2026-07-09
Rank Moved
Rank rose 13 spots (#185 → #172)
2026-07-08
Activity Resumed
Activity resumed
2026-07-08
Grade Changed
Trust grade D → C
2026-07-08
Rank Moved
Rank rose 68 spots (#253 → #185)
2026-07-08
HVTrust Changed
HVTrust up 12.0pts (45.8 → 57.8)
2026-07-08
Activity Score Changed
Activity score up 25pts (33 → 58)
2026-06-24
Rank Moved
Rank dropped 31 spots (#221 → #252)
2026-06-23
Rank Moved
Rank dropped 16 spots (#205 → #221)
2026-06-20
Rank Moved
Rank dropped 13 spots (#174 → #187)
2026-06-18
Rank Moved
Rank dropped 12 spots (#158 → #170)
2026-06-10
Grade Changed
Trust grade C → D
2026-06-05
Tool Surface Changed
Detected tool/plugin surface changed: none → declared
2026-06-01
Rank Moved
Rank dropped 17 spots (#111 → #128)
2026-05-29
HVTrust Changed
HVTrust up 9.9pts (39.0 → 48.9)
2026-05-27
Scorecard Added
OSSF Scorecard: 6.0/10
2026-05-27
Grade Changed
Trust grade D → B
2026-05-27
HVTrust Changed
HVTrust up 28.4pts (10.9 → 39.3)
2026-05-25
Newly Listed
First tracked at rank #153

Embed Badge Badge guide for maintainers →

HVTrust 58.2 Grade C
Markdown:
[![HVTrust](https://hvtracker.net/badge/llm-guard.svg)](https://hvtracker.net/agents/llm-guard)
HTML:
<a href="https://hvtracker.net/agents/llm-guard"><img src="https://hvtracker.net/badge/llm-guard.svg" alt="HVTrust"></a>

Other agents in Security & Guardrails

LLM Guard head-to-head

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI · Algolia HN Search API
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON