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AF amg-check-storage-account

Run only when the user explicitly asks for a fleet-wide Azure Storage Account health check — pulse check for availability, latency, transactions, and error rates across all accounts, then deep-dives into the top 7 most interesting accounts with metrics (E2E latency, server latency, capacity, ingress/egress) and resource logs. Tracks known issues across sessions via persistent report. On first run, auto-discovers datasource UID and prompts for subscription ID.

ClawHub Agent Skills author: 1w2w3y v1.0.0 MIT-0 5 files body ≈ 3 955 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 73/100 · Will not run — References files that are not bundled: ${CLAUDE_SKILL_DIR}/reference/analysis-patterns.md, ${CLAUDE_SKILL_DIR}/reference/deep-dive-queries.md, ${CLAUDE_SKILL_DIR}/reference/error-handling.md

ProcedureAzureInfrastructureData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
73/100
Will not run
References files that are not bundled: ${CLAUDE_SKILL_DIR}/reference/analysis-patterns.md, ${CLAUDE_SKILL_DIR}/reference/deep-dive-queries.md, ${CLAUDE_SKILL_DIR}/reference/error-handling.md
Tools and files w 18
0
Result and completion w 14
60
Inputs and preconditions w 11
70
the three weakest of ten parameters · all ten

How to improve

  1. 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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ${CLAUDE_SKILL_DIR}/reference/analysis-patterns.md
  • warning missing-ref reference to a missing file: ${CLAUDE_SKILL_DIR}/reference/deep-dive-queries.md
  • warning missing-ref reference to a missing file: ${CLAUDE_SKILL_DIR}/reference/error-handling.md
  • note frontmatter-key unknown frontmatter key "effort"

Process rating: all ten parameters 73/100

Will not run. References files that are not bundled: ${CLAUDE_SKILL_DIR}/reference/analysis-patterns.md, ${CLAUDE_SKILL_DIR}/reference/deep-dive-queries.md, ${CLAUDE_SKILL_DIR}/reference/error-handling.md
  • 0Tools and files. 3 referenced file(s) missing: ${CLAUDE_SKILL_DIR}/reference/analysis-patterns.md, ${CLAUDE_SKILL_DIR}/reference/deep-dive-queries.md, ${CLAUDE_SKILL_DIR}/reference/error-handling.md
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 59 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 12 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3955 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low 14 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 463: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 59 items
  • +3Output format is stated explicitly
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
This appears to be a legitimate Azure Storage diagnostics skill, but it needs review because it can run local parsing commands and persist operational findings without strong user controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026