Agent Harness Doctor
Repository: openclaw/skills
Author: neroagent · Source status: Clear source
Automated audit and fix for OpenClaw agent harnesses.
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.
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
ToolRouter Gateway
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
power-platform-mcp-connector-suite
Execution risk:High
Threat tags:data exfiltration, human approval gap
Control gaps:missing license, broad permissions, network without allowlist
Create-MCP
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, memory context poisoning
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | ToolRouter Gateway | power-platform-mcp-connector-suite | Create-MCP |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | data exfiltration, human approval gap | unexpected code execution, data exfiltration, memory context poisoning |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, network without allowlist | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Secrets, Command | Network, Command | Permission review, Network, Command |
Evidence confidence | 67% | 65% | 67% |
| Source & provenance | |||
Provenance | openclaw/skills | github/awesome-copilot | AnnieBabs/Create-MCP |
Freshness | 2026-04-02 | 2026-04-07 | 2026-04-09 |
| Risk & trust | |||
Trust score | 85 | 82 | 82 |
Audit signals | needs credentials, network access, runs shell, writes files | No explicit signals | No explicit signals |
| Install & compatibility | |||
Supported tools | OpenClaw | Claude, Codex, Cursor, Windsurf | Universal |
Install method | script-backed | instruction-only | script-backed |
Install friction | |||
| Community | |||
Stars | 0 | 28.7K | 5 |
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
Repository: openclaw/skills
Author: ts-sz · Source status: Clear source
Connect your AI agent to 1000+ apps — discover tools, manage OAuth connections, execute actions, and provide a self-service connector dashboard.
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
Permission hints |
|---|
verify source provenance before install |
local skill installation, workspace file updates |
repository clone, local runtime dependencies |
65 |
60 |
40 |