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BB truenas-aiops

Use this skill whenever the user needs to operate TrueNAS SCALE storage — a one-shot health overview, system info, read-only diagnostics / RCA (pool health, alerts & dataset capacity), inspect ZFS pools (list/get/status, capacity, scrub status, start a scrub), datasets (list/get/create), snapshots (list/create/delete), physical disks and S.M.A.R.T. self-test results, system alerts, services (list/restart), and replication / cloud-sync tasks. Always use this skill for "list truenas pools", "truenas dataset", "create zfs snapshot", "start a scrub", "diagnose truenas pool health", "why is my pool degraded", "truenas disk health", "truenas smart test", "truenas alerts", "restart truenas service", or "truenas replication" when the context is explicitly TrueNAS / TrueNAS SCALE / a ZFS NAS appliance. Do NOT use when the target is not a TrueNAS SCALE appliance — other NAS/storage products, backup software, hypervisor VM lifecycle, container clusters, and network devices are out of scope (negative routing hints only). Common TrueNAS SCALE operations with a built-in governance harness (audit, policy, token budget, undo, risk-tiers). Live-verified against real TrueNAS SCALE 25.04 and 26 appliances over both transports; see docs/VERIFICATION.md for what is and is not covered.

ClawHub Claude Code author: wei zhou v0.11.1 MIT-0 5 files body ≈ 3 146 tokens Open the sourceclawhub.ai↗ analyzed 23 h ago

Use this skill whenever the user needs to operate TrueNAS SCALE storage — a one-shot health overview, system info, read-only diagnostics / RCA (pool 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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1285 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. 8 mutating operations with no state check
  • 85Steps. 24 steps, 1 vague phrases
  • 100Tools and files. Tools declared in frontmatter
  • 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
  • 100Execution cost. Instruction body is 3146 tokens
  • 100Progress reporting. Reports progress
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 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 1284: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 11 example trigger phrases
  • +4Description says when NOT to use the skill
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 24 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
The skill is coherent for TrueNAS administration, but it should be reviewed because it installs unpinned external code that handles NAS credentials and exposes destructive write tools without a built-in read-only or approval gate.
LLM: suspicious (high) · 12 Sept 2026