Optimize
Repository: openclaw/skills
Author: zhmza · Source status: Clear source
Optimize OpenClaw performance and prevent lag.
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.
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
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
LLM Loop Breaker
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
Graveyard Protocol CLI
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | LLM Loop Breaker | Graveyard Protocol CLI |
|---|---|---|
| SAS-v2.1 pre-install audit | ||
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence confidence | 65% | 67% |
| Source & provenance | ||
Category | Operations & Infra | Dev & Engineering |
Freshness | 2026-04-02 | 2026-03-31 |
| Risk & trust | ||
Trust score | 81 | 85 |
Audit signals | network access, runs shell, writes files | needs credentials, network access, runs shell, writes files |
Permission hints | ||
| Install & compatibility | ||
Install friction | 50 | 65 |
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
requires binary: node, requires binary: python3, requires binary: bash, target os: linux, verify source provenance before install |
requires binary: node, requires binary: npx, requires binary: gp-cli, verify source provenance before install |