Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
mono-color
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
mono-color
Best first install candidate based on install readiness and adoption.
Freshest repo
mono-color
Most recent maintenance signal among this shortlist.
| Signal | research-proposal Use when the user has a research proposal (problem + proposed methodology + planned experiments) and wants it iteratively strengthened until it clears a passing grade. ScholarEval grades the proposal against the literature (Soundness + Contribution), a Judge scores that feedback 0-100 on a fixed rubric, and a Reviser rewrites the proposal to fix the worst points without diluting the research question; loops until the grade passes or the budget is hit. Not for generating a proposal from scratch, and not for running a literature survey on its own. | mono-color 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. |
|---|---|---|
| Quality | 63/100 Promising | 100/100 Excellent |
| Decision verdict | 62/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 163 stars Verified outcomes are shown on each skill page | 1.9K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 30, 2026 | Sep 1, 2026 |
| Use-case fit |
| Workflow fit |
| Platform hints | Claude Code | Claude Code |
| Warnings | The skill instructs agents to retrieve and use literature content, but does not explicitly warn against prompt injection from retrieved web pages or paper snippets. A malicious source could attempt to steer agent behavior. · No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add gaasher/Agent-Loop-Skills --skill research-proposal | $ npx skills add yanliudesign/mono-color-skill --skill mono-color |