Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (2/4)
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: copilot-sdk
Author: github · Source status: Clear source
Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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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
dataverse-python-advanced-patterns
Execution risk：High
Threat tags：data exfiltration, human approval gap
Control gaps：missing license, broad permissions, network without allowlist
Aliyun Zimage Turbo
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | dataverse-python-advanced-patterns | Aliyun Zimage Turbo |
|---|---|---|
| Pre-install decision | ||
Pre-install score | 82 · Manual review | 85 · Evidence missing |
Score basis | Clear source, High execution risk, Claude | Clear source, High execution risk, Universal |
Execution risk | High | High |
Threat tags | data exfiltration, human approval gap | prompt injection, tool poisoning, unexpected code execution |
Control gaps | missing license, broad permissions, network without allowlist | missing license, broad permissions, shell without guardrails |
Permission summary | Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 65% | 69% |
| Source & provenance | ||
Provenance | github/awesome-copilot | openclaw/skills |
Category | Productivity & Docs | Productivity & Docs |
Freshness | 2026-04-09 | 2026-04-01 |
| Risk & permission signals | ||
Audit signals | No explicit signals | needs credentials, network access, runs shell, writes files |
Permission hints | local skill installation, workspace file updates | verify source provenance before install |
| Install & compatibility | ||
Supported tools | Claude, Codex, Cursor, Windsurf | Universal |
Install method | instruction-only | script-backed |
Install friction | 60 | |
| Community | ||
Stars | 28.9K | 0 |
Repository: googleworkspace/cli
Author: googleworkspace · Source status: Clear source
Recipe Create Gmail Filter skill from googleworkspace/cli.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 65%
Repository: googleworkspace/cli
Author: googleworkspace · Source status: Clear source
Recipe Save Email To Doc skill from googleworkspace/cli.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 65%
Repository: copilot-cli-for-beginners
Author: github · Source status: Clear source
Learn how to get started using the GitHub Copilot CLI!
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when working with OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 69%
Repository: openclaw/skills
Author: tenequm · Source status: Clear source
Convert documentation, GitHub repos, PDFs, codebases, videos, and more into structured AI skills using the skill-seekers CLI.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 71%
65 |
