Info Research Report
Repository: openclaw/skills
Author: zaferliu · Source status: Clear source
信息调研报告自动化工作流。一键完成:多源搜索 → 深度挖掘 → 政府风格 DOCX 报告生成 → 邮件发送。
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
OMNI — All-In-One Master Skill
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
Aliyun Opensearch Search
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
LookupMark File Sender
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | OMNI — All-In-One Master Skill | Aliyun Opensearch Search | LookupMark File Sender |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Audit grade | C · Review first | D · Limited evidence | C · Review first |
Evidence confidence | 67% | 69% | 67% |
| Source & provenance | |||
Category | Data & Analytics | Knowledge & RAG | Knowledge & RAG |
Freshness | 2026-04-02 | 2026-04-02 | 2026-04-05 |
| Risk & trust | |||
Trust score | 88 | 85 | 85 |
Audit signals | needs credentials, network access, runs shell, writes files | network access, runs shell, writes files | needs credentials, network access, runs shell, writes files |
| Install & compatibility | |||
Supported tools | Claude, Codex, OpenClaw | Claude, Codex | OpenClaw |
Install friction | 65 | 50 | 65 |
Repository: openclaw/skills
Author: lanyasheng · Source status: Clear source
当需要为目标 skill 生成改进候选、把上次失败信息注入下一轮生成、或分析历史记忆模式来避免重复失败时使用。支持 --trace 注入失败上下文。不用于打分(用 improvement-discriminator)或评估(用 improvement-learner)。
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
Repository: openclaw/skills
Author: jpengcheng523-netizen · Source status: Clear source
Analyze resource usage patterns and predict future scaling needs using trend analysis and forecasting methods for capacity planning and auto-scaling decisions.
Score basis:Clear source · High risk signals · Universal