Kraken — Adopt a Kraken. Exotic Animal. 海怪。Kraken.
Repository: openclaw/skills
Author: twinsgeeks · Source status: Clear source
Adopt a virtual Kraken exotic animal at animalhouse.ai.
Score basis:Clear source · High risk signals · OpenClaw
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.
SAS-v2.1 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: twinsgeeks · Source status: Clear source
Adopt a virtual Kraken exotic animal at animalhouse.ai.
Score basis:Clear source · High risk signals · OpenClaw
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
Audit score, evidence confidence, trust score, 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
Session Memory
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, memory context poisoning
Control gaps:missing license, broad permissions, shell without guardrails
rag_demos
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 | Session Memory | rag_demos | Aliyun Qwen Text Embedding |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, shell without guardrails, network without allowlist |
Evidence confidence | 67% | 67% | 65% |
| Source & provenance | |||
Provenance | openclaw/skills | dappros/rag_demos | openclaw/skills |
Freshness | 2026-02-24 | 2026-04-01 | 2026-04-02 |
| Risk & trust | |||
Trust score | 82 | 82 | 85 |
Audit signals | network access, runs shell, writes files | No explicit signals | network access, runs shell |
| Install & compatibility | |||
Supported tools | OpenClaw | Universal | Universal |
Install friction | 50 | 40 | 50 |
| Community | |||
Stars | 0 | 1 | 0 |
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 risk signals · Claude
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 risk signals · OpenClaw
Repository: openclaw/skills
Author: james-le-twelve-labs · Source status: Clear source
Search inside videos, generate summaries, and analyze video content using TwelveLabs video understanding AI.
Score basis:Clear source · High risk signals · OpenClaw
Repository: openclaw/skills
Author: twinsgeeks · Source status: Clear source
Adopt a virtual Sugar Glider exotic animal at animalhouse.ai.
Score basis:Clear source · High risk signals · OpenClaw
Permission hints |
|---|
verify source provenance before install |
repository clone, local runtime dependencies |
verify source provenance before install |