Skill audit report
Connect agents to workflow automations and app integrations
OpenAgentSkill Trust Score
Skill audit report
Connect agents to workflow automations and app integrations
OpenAgentSkill Trust Score
Skill audit report
Connect agents to workflow automations and app integrations
OpenAgentSkill Trust Score
Skill audit report
Connect agents to workflow automations and app integrations
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
24K GitHub stars
Stars/forks activity
PASS97
24K stars, 4.0K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
29d since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
WARN50
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add activepieces/activepieces
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/activepieces/activepieces
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add activepieces/activepieces
Repository
88
https://github.com/activepieces/activepieces
License
45
Unknown
Maintenance
100
29d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
97
24K stars, 4.0K forks; issue activity unavailable in current metadata
Adoption
88
24K 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
Integration platform for AI agents with 250+ app connectors
29K Stars · Audit report
A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.
6.4K Stars · Audit report
Python samples, language bindings, and API reference documentation for vSphere, VMC, and NSX-T using the VMware REST API
798 Stars · Audit report
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
24K GitHub stars
Stars/forks activity
PASS97
24K stars, 4.0K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
29d since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
WARN50
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add activepieces/activepieces
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/activepieces/activepieces
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add activepieces/activepieces
Repository
88
https://github.com/activepieces/activepieces
License
45
Unknown
Maintenance
100
29d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
97
24K stars, 4.0K forks; issue activity unavailable in current metadata
Adoption
88
24K 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
Integration platform for AI agents with 250+ app connectors
29K Stars · Audit report
A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.
6.4K Stars · Audit report
Python samples, language bindings, and API reference documentation for vSphere, VMC, and NSX-T using the VMware REST API
798 Stars · Audit report
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
24K GitHub stars
Stars/forks activity
PASS97
24K stars, 4.0K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
29d since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
WARN50
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add activepieces/activepieces
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/activepieces/activepieces
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add activepieces/activepieces
Repository
88
https://github.com/activepieces/activepieces
License
45
Unknown
Maintenance
100
29d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
97
24K stars, 4.0K forks; issue activity unavailable in current metadata
Adoption
88
24K 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
Integration platform for AI agents with 250+ app connectors
29K Stars · Audit report
A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.
6.4K Stars · Audit report
Python samples, language bindings, and API reference documentation for vSphere, VMC, and NSX-T using the VMware REST API
798 Stars · Audit report
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
24K GitHub stars
Stars/forks activity
PASS97
24K stars, 4.0K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
29d since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
WARN50
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add activepieces/activepieces
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/activepieces/activepieces
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add activepieces/activepieces
Repository
88
https://github.com/activepieces/activepieces
License
45
Unknown
Maintenance
100
29d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
97
24K stars, 4.0K forks; issue activity unavailable in current metadata
Adoption
88
24K 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
Integration platform for AI agents with 250+ app connectors
29K Stars · Audit report
A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.
6.4K Stars · Audit report
Python samples, language bindings, and API reference documentation for vSphere, VMC, and NSX-T using the VMware REST API
798 Stars · Audit report