Skill audit report
A mechanical, countable anti-slop checklist for AI-generated frontend. Catches the specific signatures an undirected model defaults to: AI-purple glows, Inter-everywhere, em-dashes, div-based fake screenshots, eyebrow-on-every-section, beige+brass \"premium\" palettes, generic Jane Doe / Acme data. Advisory layer that pairs with frontend-mockup-loop (which owns the cite-a-source loop plus WCAG gates) but works standalone in any React/Tailwind/HTML project. Triggers: \"does this look AI-generated\", \"anti-slop pass\", \"remove the AI tells\", \"why does this look templated\", \"design review for slop\".
Skill audit report
A mechanical, countable anti-slop checklist for AI-generated frontend. Catches the specific signatures an undirected model defaults to: AI-purple glows, Inter-everywhere, em-dashes, div-based fake screenshots, eyebrow-on-every-section, beige+brass \"premium\" palettes, generic Jane Doe / Acme data. Advisory layer that pairs with frontend-mockup-loop (which owns the cite-a-source loop plus WCAG gates) but works standalone in any React/Tailwind/HTML project. Triggers: \"does this look AI-generated\", \"anti-slop pass\", \"remove the AI tells\", \"why does this look templated\", \"design review for slop\".
Skill audit report
A mechanical, countable anti-slop checklist for AI-generated frontend. Catches the specific signatures an undirected model defaults to: AI-purple glows, Inter-everywhere, em-dashes, div-based fake screenshots, eyebrow-on-every-section, beige+brass \"premium\" palettes, generic Jane Doe / Acme data. Advisory layer that pairs with frontend-mockup-loop (which owns the cite-a-source loop plus WCAG gates) but works standalone in any React/Tailwind/HTML project. Triggers: \"does this look AI-generated\", \"anti-slop pass\", \"remove the AI tells\", \"why does this look templated\", \"design review for slop\".
Skill audit report
A mechanical, countable anti-slop checklist for AI-generated frontend. Catches the specific signatures an undirected model defaults to: AI-purple glows, Inter-everywhere, em-dashes, div-based fake screenshots, eyebrow-on-every-section, beige+brass \"premium\" palettes, generic Jane Doe / Acme data. Advisory layer that pairs with frontend-mockup-loop (which owns the cite-a-source loop plus WCAG gates) but works standalone in any React/Tailwind/HTML project. Triggers: \"does this look AI-generated\", \"anti-slop pass\", \"remove the AI tells\", \"why does this look templated\", \"design review for slop\".
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
270 GitHub stars
Stars/forks activity
WARN57
270 stars, 38 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT
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 BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend
Repository
88
https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend
License
86
MIT
Maintenance
100
2d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
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
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K Stars · Audit report
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61K Stars · Audit report
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Stars · Audit report
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
270 GitHub stars
Stars/forks activity
WARN57
270 stars, 38 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT
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 BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend
Repository
88
https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend
License
86
MIT
Maintenance
100
2d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
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
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K Stars · Audit report
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61K Stars · Audit report
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Stars · Audit report
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
270 GitHub stars
Stars/forks activity
WARN57
270 stars, 38 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT
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 BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend
Repository
88
https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend
License
86
MIT
Maintenance
100
2d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
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
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K Stars · Audit report
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61K Stars · Audit report
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Stars · Audit report
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
270 GitHub stars
Stars/forks activity
WARN57
270 stars, 38 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d since push
License clarity
PASS86
MIT
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 BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend
Repository
88
https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend
License
86
MIT
Maintenance
100
2d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
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
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K Stars · Audit report
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61K Stars · Audit report
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Stars · Audit report
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
57
270 stars, 38 forks; issue activity unavailable in current metadata
Adoption
68
270 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
57
270 stars, 38 forks; issue activity unavailable in current metadata
Adoption
68
270 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
57
270 stars, 38 forks; issue activity unavailable in current metadata
Adoption
68
270 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
57
270 stars, 38 forks; issue activity unavailable in current metadata
Adoption
68
270 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.