Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
Score-basis diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Repository: openclaw/skills
Author: jwtiyar · Source status: Clear source
Expert translator from English to Central Kurdish (Sorani) for all Information Technology domains — including apps, operating systems, servers, networks, databases, UI/UX strings, developer tools, cloud platforms, and an
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Pre-install score, evidence completeness, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
Awesome-Astron-Workflow
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
skill-seekers
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
generate-custom-instructions-from-codebase
Execution risk：High
Threat tags：data exfiltration, human approval gap
Control gaps：missing license, broad permissions, network without allowlist
| Dimension | Awesome-Astron-Workflow | skill-seekers | generate-custom-instructions-from-codebase |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 82 · Manual review | 88 · Evidence missing | 82 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude | Clear source, High execution risk, Claude |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration | data exfiltration, human approval gap |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, network without allowlist |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command | Network, Command |
Evidence completeness | 65% | 71% | 65% |
| Source & provenance | |||
Provenance | FenjuFu/Awesome-Astron-Workflow | openclaw/skills | github/awesome-copilot |
Category | Productivity & Docs | Dev & Engineering | Productivity & Docs |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | needs credentials, network access, runs shell, writes files | No explicit signals |
Permission hints | repository clone, local runtime dependencies | verify source provenance before install | local skill installation, workspace file updates |
| Install & compatibility | |||
Supported tools | Universal | Claude, Cursor, Windsurf | Claude, Codex, Cursor, Windsurf |
Install method | script-backed | script-backed | instruction-only |
Install friction | |||
| Community | |||
Stars | 14 | 0 | 28.9K |
Repository: awesome-copilot
Author: github · Source status: Clear source
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 69%
Repository: openclaw/skills
Author: yozu · Source status: Clear source
Hierarchical memory management for AI agents across sessions.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 71%
Repository: openclaw/skills
Author: lucasgeeksinthewood · Source status: Clear source
Love for AI agents — find love through personality matchmaking, love compatibility scoring, and real romantic love connections.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 67%
Repository: awesome-copilot
Author: github · Source status: Clear source
Expert 10x engineer skill for interpreting and implementing code from shorthand, quasi-code, and natural language descriptions.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 65%
2026-03-30 |
2026-04-04 |
2026-04-09 |
40 |
65 |
60 |
