BC security-skill-hub
安全技能插座 - 统一的安全技能管理和调用平台 这是一个安全技能的"插座"框架，提供统一的安全能力入口。已集成以下技能： **全网技能搜索 (ClawHub)**: - clawhub: 从 clawhub.com 搜索安装全网技能 **信息收集类**: - collector-strategy: 采集策略Skill - skill-sample-collector: 样本采集Skill **漏洞扫描类**: - security-vuln-scanner: 漏洞扫描Skill - agent-security-code-scanner: 代码安全扫描 **威胁情报类**: - ioc-validator: IOC验证Skill - security-ioc-research: IOC研究Skill - threat-monitoring: 威胁监控 **恶意软件分析**: - code-malware-scanner: 恶意代码扫描 - agent-security-skill-scanner: 技能安全扫描 **防护类**: - agent-defender: Agent Defender安全防护 - agent-security-network-guardian: 网络防护监控 **审计类**: - agent-security-openclaw-audit: OpenClaw安全审计 - agent-security-governance-audit: 治理审计 **其他安全类**: - agent-security-password-hardening: 密码硬化检测 - agent-security-key-manager: 密钥管理 - security-ioc-research: IOC研究 使用场景: - 需要调用安全能力时 - 不知道用哪个安全技能时 - 需要组合多个安全技能时 - 扩展新的安全能力时
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 731 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 834: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 22 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.