OMNI — All-In-One Master Skill
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 risk signals · Claude
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.
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: eternal0404 · Source status: Clear source
The all-in-one master skill — unified interface for every capability domain.
Score basis:Clear source · High risk signals · Claude
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
predictive-scaler
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, shell without guardrails, network without allowlist
security-ownership-map
Execution risk:High
Threat tags:data exfiltration, human approval gap
Control gaps:missing license, broad permissions, network without allowlist
| Dimension | predictive-scaler | security-ownership-map |
|---|---|---|
| SAS-v2.1 pre-install audit | ||
Audit grade | C · Review first | C · Review first |
Execution risk | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | data exfiltration, human approval gap |
Control gaps | missing license, shell without guardrails, network without allowlist | missing license, broad permissions, network without allowlist |
Permission summary | Permission review, Network, Command | Permission review, Network, Command |
Evidence confidence | 63% | 67% |
| Source & provenance | ||
Provenance | openclaw/skills | openai/skills/tree/main/skills/.curated/security-ownership-map |
Category | Data & Analytics | Data & Analytics |
Freshness | 2026-03-25 | |
| Risk & trust | ||
Trust score | 85 | 82 |
Audit signals | network access | writes files |
Permission hints | ||
| Install & compatibility | ||
Supported tools | Universal | Claude, Codex, Cursor, Universal |
Install method | script-backed | registry-install |
Install friction | 40 | |
| Community | ||
Stars | 0 | 7.3K |
Repository: openclaw/skills
Author: jpengcheng523-netizen · Source status: Clear source
Provides monitoring and alerting for agent abnormal behavior metrics with Prometheus and Grafana support, including P99 latency, error rates, anomaly detection, and custom alert rules.
Score basis:Clear source · High risk signals · Universal
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: kongbai233 · Source status: Clear source
This skill should be used when the user needs to analyze Git repositories, compare developer commit patterns, work habits, development efficiency, code style, code quality, and slacking behaviors.
Score basis:Clear source · High risk signals · Universal
verify source provenance before install |
registry access, remote metadata pull, runtime dependencies may be required |
50 |