pentesting

Name: pentesting
Rating: 2.27 (1 reviews)
Author: agnusdei12071207

#5208 · by agnusdei12071207

agent tool-use multi-step

2.27/ 5.00

cautionBeta

Mar 5, 2026 at 7:59 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

medium23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

3 of 3 sub-signals with data

Known CVEs40%5.0

No known CVEs

via OSV.dev

Dependency Health30%5.0

14 dependencies (minimal)

via npm / PyPI

Supply Chain30%4.8

5 transitive CVEs found (penalty: -0.15)

via npm provenance

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 3 checks

via Health checks

Response Latency25%4.0

p99: 297ms, p50: 183ms

via Health checks

Error Rate20%5.0

0.00% error rate (0/3)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

0 of 4 sub-signals with data

Commit Recencyno data—

Weight redistributed to sub-signals with data

Release Cadenceno data—

Weight redistributed to sub-signals with data

Issue Responseno data—

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CI/CD Presenceno data—

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Downloads, stars, dependents, and growth trajectory

2 of 4 sub-signals with data

Download Volume67%3.0

2,307 weekly downloads

via npm / PyPI

GitHub Starsno data—

Weight redistributed to sub-signals with data

Dependent Packagesno data—

Weight redistributed to sub-signals with data

Growth Trend33%1.0

-52.7% week-over-week

via npm

License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data—

Weight redistributed to sub-signals with data

Documentationno data—

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Security Policyno data—

Weight redistributed to sub-signals with data

Changelogno data—

Weight redistributed to sub-signals with data

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%0.0

via Fabric index

Org Maturity30%0.0

via GitHub

Community Standing20%0.0

via GitHub

Cross-Platform20%0.0

via Registry scan

About this score

Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

pentesting is an MIT-licensed npm package by agnusdei12071207 that provides an autonomous AI agent for offensive security testing. The package has zero maintenance signal (no recent updates or visible repository activity) and zero transparency signal (no accessible source code or documentation beyond marketing screenshots), which creates significant uncertainty about its actual capabilities and security posture. Given the sensitive nature of penetration testing tooling and the publisher's lack of established trust indicators, this package is not recommended for production security assessments without thorough vetting of its source code and behavior.

Generated by Fabric AI · Mar 4, 2026 at 4:15 AM

Package Availability (30d)

100.00%

p50: 183ms · p99: 297ms

Avg Latency

218ms

averaged across 30d health checks

Weekly Downloads

2.3k-53%

npm weekly

Incidents & Alertslast 90 days

Mar 5Trust score decreased by 0.722.27