SKILLEMALL.ai

BC azure-infra-free

Azure Infra Free 是 Azure Infra 技能的免费精简版,通过本地 Azure CLI(az 命令) 提供 Azure 资源的只读查询能力。支持基础的资源清单查询与简单的健康检查, 不包含写操作、安全审计、成本分析等高级功能. 核心能力: - 资源清单查询:资源组、虚拟机、存储账户、虚拟网络等基础资源的列举 - 简单健康检查:查看虚拟机电源状态、查询失败的活动日志 - 只读优先:所有操作默认只读,不执行任何写操作或破坏性变更 适用场景: - 快速盘点订阅内的虚拟机与存储资源 - 查看虚拟机...

ClawHub Hermes author: 天轰穿 v1.0.3 MIT-0 2 files body ≈ 2 138 tokens Open the sourceclawhub.ai analyzed 28 h ago

Azure Infra Free 是 Azure Infra 技能的免费精简版,通过本地 Azure CLI(az 命令) 提供 Azure 资源的只读查询能力。支持基础的资源清单查询与简单的健康检查, 不包含写操作、安全审计、成本分析等高级功能.

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAzureOperations and projectsAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
C
55/100
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 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-long-hermes description is 262 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • 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 "summary_zh"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 55/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 56 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2138 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 25 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 262: enough signal without eating the budget
  • +4Structure: 49 headings
  • +3Step-by-step instructions: 56 items
  • +4Has examples (4 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This appears to be an Azure resource lookup helper, but it includes broader and conflicting capability claims that should be reviewed before installation.
LLM: suspicious (high) · 2 Aug 2026