Skill audit report
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
OpenAgentSkill Trust Score
Skill audit report
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
OpenAgentSkill Trust Score
Skill audit report
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
OpenAgentSkill Trust Score
Skill audit report
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
3.7K GitHub stars
Stars/forks activity
PASS83
3.7K stars, 468 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT license
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Repository
88
https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants
License
86
MIT license
Maintenance
100
2d since push
AI review
55
The skill references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described.
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
83
3.7K stars, 468 forks; issue activity unavailable in current metadata
Adoption
88
3.7K GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
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The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
3.7K GitHub stars
Stars/forks activity
PASS83
3.7K stars, 468 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT license
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Repository
88
https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants
License
86
MIT license
Maintenance
100
2d since push
AI review
55
The skill references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described.
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
83
3.7K stars, 468 forks; issue activity unavailable in current metadata
Adoption
88
3.7K GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
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33K Stars · Audit report
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29K Stars · Audit report
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
3.7K GitHub stars
Stars/forks activity
PASS83
3.7K stars, 468 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT license
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Repository
88
https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants
License
86
MIT license
Maintenance
100
2d since push
AI review
55
The skill references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described.
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
83
3.7K stars, 468 forks; issue activity unavailable in current metadata
Adoption
88
3.7K GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
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33K Stars · Audit report
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29K Stars · Audit report
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
3.7K GitHub stars
Stars/forks activity
PASS83
3.7K stars, 468 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT license
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Repository
88
https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants
License
86
MIT license
Maintenance
100
2d since push
AI review
55
The skill references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described.
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
83
3.7K stars, 468 forks; issue activity unavailable in current metadata
Adoption
88
3.7K GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
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Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16K Stars · Audit report
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33K Stars · Audit report
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29K Stars · Audit report