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: cinience · Source status: Clear source
Use when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual relevance sorting.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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
Aliyun Opensearch Search
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
mcp-mindmesh
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
LookupMark File Sender
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Aliyun Opensearch Search | mcp-mindmesh | LookupMark File Sender |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 85 · Evidence missing | 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, OpenClaw |
Execution risk | High | High | High |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, identity privilege abuse, data exfiltration |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 69% | 67% | 67% |
| Source & provenance | |||
Provenance | openclaw/skills | 7ossamfarid/mcp-mindmesh | openclaw/skills |
Category | Knowledge & RAG | Integrations & Connectors | Knowledge & RAG |
Freshness | |||
| Risk & permission signals | |||
Audit signals | network access, runs shell, writes files | No explicit signals | needs credentials, network access, runs shell, writes files |
Permission hints | verify source provenance before install | repository clone, local runtime dependencies | verify source provenance before install |
| Install & compatibility | |||
Supported tools | Claude, Codex | Universal | OpenClaw |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 0 | 5 | 0 |
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when multimodal embeddings are needed from Alibaba Cloud Model Studio models such as `qwen3-vl-embedding` for image, video, and text retrieval, cross-modal search, clustering, or offline vectorization pipelines.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
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: eternal0404 · Source status: Clear source
The all-in-one master skill — unified interface for every capability domain.
Score basis：Clear source · High execution risk · Claude · Evidence completeness 67%
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when creating cloned voices with Alibaba Cloud Model Studio CosyVoice customization models, especially cosyvoice-v3.5-plus or cosyvoice-v3.5-flash, from reference audio and then reusing the returned voice_id in later
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when managing Alibaba Cloud Elastic Compute Service (ECS) via OpenAPI/SDK, including listing or creating instances, starting/stopping/rebooting, managing disks/snapshots/images/security groups/key pairs/ENIs, queryin
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
2026-04-02 |
2026-04-06 |
2026-04-05 |
50 |
40 |
65 |
