SKILLEMALL.ai

BF azure

Deploy, monitor, and manage Azure services with battle-tested patterns。核心能力: - 运维工具领域的专业化AI辅助工具 - - 适用场景: - 系统运维、监控告警、资源管理 - 独立开发者与一人公司效率提升 - 自动化工作流与智能决策辅助

ClawHub Hermes author: 天轰穿 v1.0.2 MIT-0 2 files body ≈ 1 393 tokens Open the sourceclawhub.ai analyzed 25 h ago

Deploy, monitor, and manage Azure services with battle-tested patterns。核心能力: - 运维工具领域的专业化AI辅助工具 - - 适用场景: - 系统运维、监控告警、资源管理 - 独立开发者与一人公司效率提升 - 自动化工作流与智能决策辅助

As a process F 33/100 · Will not run — References files that are not bundled: assets/azure_template

IntegrationAzureOperations and projectsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
58
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: assets/azure_template
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  3. The text references files that are not there: add them or drop the references.
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 164 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
  • warning missing-ref reference to a missing file: assets/azure_template
  • 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 33/100

Will not run. References files that are not bundled: assets/azure_template
  • 0Tools and files. 1 referenced file(s) missing: assets/azure_template
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1393 tokens
  • low 17 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 164: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
This Azure management skill is not malicious, but it asks for broad cloud-operation authority without clear safeguards before changing or deleting resources.
LLM: suspicious (high) · 2 Aug 2026