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BB xcpng-aiops

Use this skill whenever the user needs to operate an XCP-ng virtualization fleet through Xen Orchestra — a one-shot fleet health overview; VMs (list/get/RRD stats), hosts, pools, storage repositories (SRs) and VDIs, VM snapshots, backup jobs and run logs, XO tasks; four RCA analyses (VM health, SR usage, backup-job failures, pool patch & HA posture); and governed writes (VM start/stop/reboot/migrate, snapshot create/delete/revert, SR rescan). Always use this skill for "xcp-ng vm", "xen orchestra", "xo backup failed", "sr full", "orphaned vdi", "xcp-ng snapshot", "migrate vm to another host", "xcp-ng patches", or "pool HA" when the context is explicitly XCP-ng / Xen Orchestra / a Xen-based fleet. Do NOT use when the target is not an XCP-ng fleet managed by Xen Orchestra — other hypervisors (Do NOT use for Proxmox VE — use proxmox-aiops), NAS/storage appliances, backup software suites, container clusters, and network devices are out of scope (negative routing hints only). Common XCP-ng-via-XO operations with a built-in governance harness (audit, policy, token budget, undo, risk-tiers).

ClawHub Claude Code author: wei zhou v0.8.2 MIT-0 6 files body ≈ 4 287 tokens Open the sourceclawhub.ai↗ analyzed 34 h ago

VMs (list/get/RRD stats), hosts, pools, storage repositories (SRs) and VDIs, VM snapshots, backup jobs and run logs, XO tasks; four RCA analyses (VM health…

As a process B 70/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerKubernetesGitHubAI and agentstype 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
B
84/100
safety, quality, tests
Safety 60%
95
Quality 40%
67
Run on models
none yet
Process rating
B
70/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. Shorten the description to 1024 characters.
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
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1101 chars, limit 1024
  • 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 "homepage"
  • note frontmatter-key unknown frontmatter key "installer"

Process rating: all ten parameters 70/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 9 mutating operations with no state check
  • 70Execution cost. Instruction body is 4287 tokens
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 39 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (17 tags): a typed call is more reliable

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

  • +3Description length 1100: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 9 example trigger phrases
  • +4Description says when NOT to use the skill
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This appears to be a legitimate Xen Orchestra operations skill, but it needs Review because it combines high-impact infrastructure write actions with mutable package execution and weak built-in authorization controls.
LLM: suspicious (medium) · 12 Sept 2026