Is Giskard safe to use?

Giskard has an HVTrust score of 69.6/100 (Grade B), ranked #133 of 1204 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Giskard?

Giskard scores 69.6/100 on HVTracker's evidence-weighted HVTrust scale. It has 5.7k GitHub stars and is categorized under Observability & Evaluation.

Giskard

Giskard-AI/giskard-oss

🐢 Open-Source Evaluation & Testing library for LLM Agents

Observability & Evaluation Python Grade B Listed Apache-2.0

69.6/100

Rank #133 of 1204

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Promising trust profile, but some evidence still deserves review.

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Listing state

Listed

Evidence coverage

Grade A · 4/5 signals

Last push

2026-08-07 · 2d ago

Recent change

Rank +1

Is Giskard safe? Giskard scores 69.6/100 (Grade B), ranked #133 of 1204 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 7.0/10; 84% of recent commits are signed; last pushed 2026-08-07. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Observability & Evaluation

#9 DeepEval — 71.3 (B) → #10 Agenta — 70.8 (B) → #12 Holmesgpt — 62.6 (C) → #13 Helicone — 62.3 (C) →

Quick Trust Read

What Would Improve It

Publish package provenance or release attestations for stronger supply-chain evidence.

Recent Changes

2026-08-08

Rank Moved

Rank dropped 13 spots (#117 → #130)

2026-08-07

Provider Added

Runtime surface grew — new detected provider dependencies: Google Gemini, Multi-provider (LiteLLM)

2026-07-13

Rank Moved

Rank dropped 13 spots (#85 → #98)

Maintainer Checklist

Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.

Compare with another agent Get email alerts for Giskard View Observability & Evaluation Report missing data

81.5

Activity sub-score · out of 100

#11

In Observability & Evaluation

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade B 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 →

Activity & Reach

Stars

5.7k

Forks

513

Last Push

2026-08-07

2 days ago

Commits (4 wk)

Downloads (7d)

6,541

pypi

HN mentions (30d)

Open Issues

Rank Change

▼3

was #130

Analysis

HVTrust Dimensions vs Observability & Evaluation

69.6 / 100 · 100.0% confidence

Giskard Observability & Evaluation average (22 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

13.0 / 25

2.2 above avg 10.8

Identity / Provenance60% listing status · 40% build provenance

10.8 / 18

2.3 below avg 13.1

Transparency50% declared license · 50% OSSF Scorecard

14.4 / 17

2.7 above avg 11.7

Maintenance60% last-push freshness · 40% commit activity

18.8 / 20

3.4 above avg 15.4

AdoptionLog-scaled stars · package downloads

14.1 / 20

in line with avg 14.3

Activity Inputs

81.5 / 100

StarsRepository reach

22.6 / 30

FreshnessLast push recency

24.7 / 25

ActivityRecent commits

21.6 / 25

CommunityFork signal

12.6 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

7.0 / 10

OpenSSF Scorecard · scanned Aug 8, 2026

Signed Commits

84%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 8

CI-Tests 10

CII-Best-Practices 0

Code-Review 6

Contributors 10

Dangerous-Workflow 0

Dependency-Update-Tool 10

Fuzzing 0

License 10

Maintained 10

Packaging -1

Pinned-Dependencies 10

SAST 10

Security-Policy 10

Signed-Releases 0

Token-Permissions 10

Vulnerabilities 10

Is Giskard safe?

Giskard 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 Giskard publish package provenance?

No published build provenance is currently detected for Giskard. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.

Does Giskard have an OpenSSF Scorecard?

Giskard has an OpenSSF Scorecard score of 7.0/10. 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 Giskard actively maintained?

Actively maintained. The repository was pushed to within the last 2 day(s).

What license does Giskard use?

Giskard ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are Giskard's commits signed?

84% of the last 100 commits to Giskard 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.

AI agent surface

MCP, providers, tool 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

high confidence

4 detected

Public provider/service dependencies detected.

Credential signal: No explicit API-key/config marker detected.

Tool / Plugin Surface

None detected

No clear plugin system or broad tool surface detected.

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 Giskard'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.

2026-08-07

Provider Added

Runtime surface grew — new detected provider dependencies: Google Gemini, Multi-provider (LiteLLM)

2026-06-05

Provider Added

Runtime surface grew — new detected provider dependencies: Anthropic, OpenAI

Maintain Giskard?

For maintainers

HVTrust scores Giskard 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.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-08-08

Rank Moved

Rank dropped 13 spots (#117 → #130)

2026-08-07

Provider Added

Runtime surface grew — new detected provider dependencies: Google Gemini, Multi-provider (LiteLLM)

2026-07-13

Rank Moved

Rank dropped 13 spots (#85 → #98)

2026-06-05

Provider Added

Runtime surface grew — new detected provider dependencies: Anthropic, OpenAI

2026-05-29

HVTrust Changed

HVTrust up 10.4pts (59.6 → 70.0)

2026-05-27

Scorecard Added

OSSF Scorecard: 6.8/10

2026-05-27

Grade Changed

Trust grade C → B

2026-05-27

Rank Moved

Rank rose 94 spots (#110 → #16)

2026-05-27

HVTrust Changed

HVTrust up 30.5pts (32.9 → 63.4)

2026-05-27

Activity Score Changed

Activity score up 21pts (60 → 81)

2026-05-26

Rank Moved

Rank dropped 94 spots (#16 → #110)

2026-05-26

Activity Score Changed

Activity score down 22pts (81 → 60)

2026-05-25

Newly Listed

First tracked at rank #16

GitHub → PyPI: giskard

Embed Badge Badge guide for maintainers →

For maintainers

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Other agents in Observability & Evaluation

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