Skill audit report
Integrate Didit Face Match standalone API to compare two facial images. Use when the user wants to compare faces, verify face identity, implement biometric comparison, facial recognition, or selfie-to-document matching using Didit. Returns a similarity score (0-100) with configurable decline threshold. Supports image rotation and multi-face detection.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
26 GitHub stars
Stars/forks activity
WARN43
26 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add didit-protocol/skills --skill didit-face-match
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/didit-protocol/skills/tree/main/skills/didit-face-match
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add didit-protocol/skills --skill didit-face-match
Repository
88
https://github.com/didit-protocol/skills/tree/main/skills/didit-face-match
License
86
MIT
Maintenance
88
2mo since push
AI review
55
The utility script does not validate file type or size before sending to the API, which could lead to avoidable API errors.
README/SKILL.md completeness
86
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
43
26 stars, 4 forks; issue activity unavailable in current metadata
Adoption
42
26 GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
Compare nearby options
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
179K Stars · Audit report
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
92K Stars · Audit report
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
179K Stars · Audit report