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BB alibabacloud-ecs-diagnose

Comprehensive Alibaba Cloud ECS instance diagnostics skill. Performs systematic troubleshooting including cloud platform status checks and GuestOS internal diagnostics via Cloud Assistant. Use when users report server connectivity issues, SSH timeout, instance lag, website unavailability, disk full, CPU/memory alerts, system event notifications, or abnormal instance status. Triggers: "ECS", "instance", "server", "cannot connect", "SSH", "timeout", "slow", "disk full", "network", "CPU high", "memory high", "status check", "system event", "diagnose", "troubleshoot", "disk performance", "disk IO slow", "IOPS", "IO latency"

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.4 MIT-0 13 files body ≈ 5 957 tokens Open the sourceclawhub.ai↗ analyzed 28 h ago

Comprehensive Alibaba Cloud ECS instance diagnostics skill.

As a process B 76/100 · Nearly there — weak spots: when it triggers

AnalyzerData and analyticsInfrastructuretype 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
78/100
safety, quality, tests
Safety 60%
75
Quality 40%
83
Run on models
none yet
Process rating
B
76/100
Nearly there
When it triggers w 12
20
Tools and files w 18
60
Inputs and preconditions w 11
70
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.

Dangerous commands 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 contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:30
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:45
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:58
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:71
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-pipe-to-shell SKILL.md:37
    Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
    > run `curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash` to install/update,
    quoted

Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5957 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 76/100

  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5957 tokens
  • 85Steps. 71 steps, 3 vague phrases
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 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

  • +4Description does not say when NOT to use the skill (false activations)
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 15 example trigger phrases
  • +3Description length 627: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 71 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: suspicious
The skill appears to be a real Alibaba Cloud ECS diagnostic helper, but it needs review because it can install mutable tooling, run commands inside cloud instances, and includes high-impact remediation examples.
LLM: suspicious (high) · 11 Sept 2026