SKILLEMALL.ai

BC docker-sandbox-tool-pro

面向企业安全团队的高级沙箱平台。支持多沙箱实例管理、状态快照。Use when 需要安全检测、合规审计、质量检查、加密防护时使用。不适用于安全评估未授权目标。适用于独立开发者、企业团队和自动化工作流场景。支持中文交互,无需复杂配置即开即用。输出结果可直接使用,减少二次加工成本。提供结构化输出和错误处理机制。 功能涵盖: sandbox。

ClawHub Hermes author: 天轰穿 v1.0.0 MIT-0 2 files body ≈ 1 863 tokens Open the sourceclawhub.ai analyzed 2 d ago

面向企业安全团队的高级沙箱平台。支持多沙箱实例管理、状态快照。Use when 需要安全检测、合规审计、质量检查、加密防护时使用。不适用于安全评估未授权目标。适用于独立开发者、企业团队和自动化工作流场景。支持中文交互,无需复杂配置即开即用。输出结果可直接使用,减少二次加工成本。提供结构化输出和错误处理机制。…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceDockerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
99
Quality 40%
66
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
For the model run — optional
  • 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security skill-card.md:25
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    Risk: Docker-based malware analysis can create sensitive file outputs, traffic captures, snapshots, reports, and audit data.

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: All mapping items must start at the same column at line 9, column 1: description: "面向企业安全团队的高级沙箱平台。支持多沙箱实例管理、状态快照。Use when 需要安全检测、合规审计、质量检查、加密防护时使用。… 恢复、自定义安全策略、完整审计追踪与恶意行为检测。Use when 需要安全检测、合规审计、质量检查、加密防护时使用。不适用于安全评估未授权目标。Use ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 169 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "edition"
  • note frontmatter-key unknown frontmatter key "tools"

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. Tools declared in frontmatter
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1863 tokens
  • 100Running it twice. No mutating operations
  • low 13 top-level sections: this looks like several domains in one skill

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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 169: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (7 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a disclosed Docker sandbox/malware-analysis skill, but users should treat its file outputs, traffic captures, and credential handling carefully.
LLM: benign (medium) · VirusTotal: · 28 Aug 2026