Snyk Agent Scan

Security scanner for AI agents, MCP servers and agent skills.

Security & Guardrails Python Grade D Listed Apache-2.0
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Listing state
Listed
HVTrust
27.3/100 · Grade D
Evidence coverage
Grade D · 1/5 signals
Last push
2026-07-14 · 1d ago
Recent change
New

Is Snyk Agent Scan safe? Snyk Agent Scan scores 27.3/100 (Grade D), ranked #379 of 417 tracked open-source AI agent projects, on evidence coverage D (1 of 5 independent signal types). The public evidence: no package-provenance attestation found; no OSSF Scorecard result yet; 100% of recent commits are signed; last pushed 2026-07-14. 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.
27.3/100 · Grade D
Strongest Signal
Maintenance
19.1/20
Weakest Signal
Safety / Integrity
5.0/25
What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-07-14
Newly Listed
First tracked at rank #379
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
79.2
Activity Score · out of 100
27.3
HVTrust Score · out of 100
#379
Global Rank · of 417
#12

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 D is separate — it grades how many independent signal types back the score (1 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-07-15 01:30 UTC · Repo last pushed yesterday

Rank Trend

2026-07-14 2026-07-15

Activity & Reach

Stars
2.8k
Forks
246
Last Push
2026-07-14
yesterday
Commits (4 wk)
61
Downloads (7d)
HN mentions (30d)
Open Issues
2
Rank Change
=
was #379

Analysis

HVTrust Dimensions

27.3 / 100 · 50.0% confidence
Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
5.0 / 25
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
Maintenance60% last-push freshness · 40% commit activity
19.1 / 20
Adoption60% stars · 40% downloads, log-scaled
8.3 / 20

Activity Inputs

79.2 / 100
StarsRepository reach
20.7 / 30
FreshnessLast push recency
24.9 / 25
ActivityRecent commits
22.4 / 25
CommunityFork signal
11.1 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
Not available
Signed Commits
100%
of last 100 commits verified

Is Snyk Agent Scan safe?

Public trust evidence for Snyk Agent Scan 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 Snyk Agent Scan publish package provenance?
No published build provenance is currently detected for Snyk Agent Scan. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Snyk Agent Scan have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for Snyk Agent Scan. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is Snyk Agent Scan actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does Snyk Agent Scan use?
Snyk Agent Scan ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Snyk Agent Scan's commits signed?
100% of the last 100 commits to Snyk Agent Scan 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.

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
high confidence
Implemented
Snyk Agent Scan appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
medium confidence
1 detected
Public provider/service dependencies detected.
Credential signal: No explicit API-key/config marker detected.
Tool / Plugin Surface
medium confidence
Extensions
Extension based plugin/integration surface detected.
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

Maintain Snyk Agent Scan?

HVTrust scores Snyk Agent Scan 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

Listed 1
2026-07-14
Newly Listed
First tracked at rank #379

Embed Badge Badge guide for maintainers →

HVTrust 27.3 Grade D
Markdown:
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HTML:
<a href="https://hvtracker.net/agents/snyk-agent-scan"><img src="https://hvtracker.net/badge/snyk-agent-scan.svg" alt="HVTrust"></a>

Other agents in Security & Guardrails

Data sources
GitHub REST API (repo, commits, stars, forks, license)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON