Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (3/4)
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: 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%
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
agent-memory-systems
Execution risk：High
Threat tags：data exfiltration, memory context poisoning, human approval gap
Control gaps：missing license, network without allowlist, no human approval
spring-ai-playground
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
Aliyun Qwen Text Embedding
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, shell without guardrails, network without allowlist
| Dimension | agent-memory-systems | spring-ai-playground | Aliyun Qwen Text Embedding |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 79 · Manual review | 81 · Manual review | 85 · Manual review |
Score basis | Clear source, High execution risk, Claude | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
Threat tags | data exfiltration, memory context poisoning, human approval gap | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, memory context poisoning |
Control gaps | missing license, network without allowlist, no human approval | missing license, broad permissions, shell without guardrails | missing license, shell without guardrails, network without allowlist |
Permission summary | Network, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 65% | 67% | 65% |
| Source & provenance | |||
Provenance | davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems | JM-Lab/spring-ai-playground | openclaw/skills |
Freshness | 2026-02-04 | 2026-04-07 | 2026-04-02 |
| Risk & permission signals | |||
Audit signals | No explicit signals | network access | network access, runs shell |
Permission hints | registry access, remote metadata pull, runtime dependencies may be required | repository clone, local runtime dependencies | verify source provenance before install |
| Install & compatibility | |||
Supported tools | Claude, Codex, Cursor, Universal | Universal | Universal |
Install method | registry-install | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 19.9K | 180 | 0 |
Repository: openai/skills
Author: openai · Source status: Clear source
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 67%
Repository: openclaw/skills
Author: neroagent · Source status: Clear source
Core memory resilience layer: WAL (Write-Ahead Log), Working Buffer, and three-layer memory integration.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 71%
Repository: openclaw/skills
Author: lookupmark · Source status: Clear source
Find and send local files to a chat channel (Telegram, Discord, WhatsApp, Signal, Slack).
Score basis：Clear source · High execution risk · OpenClaw · Evidence completeness 67%
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%
50 |
40 |
50 |
