Game Sentiment Monitor
Repository: openclaw/skills
Author: robin9plus1 · Source status: Clear source
Automated game sentiment monitoring skill for mobile/PC games.
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
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
checkout-agent
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, shell without guardrails, network without allowlist
TwelveLabs Video Intelligence
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
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 | checkout-agent | TwelveLabs Video Intelligence | Aliyun Qwen Text Embedding |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, memory context poisoning |
Control gaps | missing license, shell without guardrails, network without allowlist | missing license, broad permissions, shell without guardrails | missing license, shell without guardrails, network without allowlist |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
Evidence confidence | 65% | 67% | 65% |
| Source & provenance | |||
Category | Web & Automation | Knowledge & RAG | Knowledge & RAG |
Freshness | 2026-04-02 | 2026-04-03 | 2026-04-02 |
| Risk & trust | |||
Audit signals | needs credentials, network access | needs credentials, network access, runs shell, writes files | network access, runs shell |
Permission hints | verify source provenance before install | requires binary: python3, verify source provenance before install | verify source provenance before install |
| Install & compatibility | |||
Supported tools | OpenClaw | OpenClaw | Universal |
Install friction | 55 | 65 | 50 |
Repository: openclaw/skills
Author: grantmacnamara · Source status: Clear source
Control a Mopidy music system via Mopidy JSON-RPC for everyday listening, queue management, and playback control.
Score basis:Clear source · High risk signals · Universal
Repository: openclaw/skills
Author: twinsgeeks · Source status: Clear source
Icebreaker prompts for AI agents — break the ice with personality-matched agents, icebreaker conversations, and icebreaker openers that actually work.
Score basis:Clear source · High risk signals · Claude