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BF alibabacloud-sre-toolkit

Alibaba Cloud SRE skill for cloud infrastructure diagnosis, health inspection, capacity planning, incident response, and security audit, including scenarios where STAROps is unavailable and CLI fallback diagnosis is required. When users ask about ECS, ACK clusters, Pod issues, resource utilization, or fault troubleshooting, load this skill. Provides actionable SRE analysis reports and remediation recommendations via STAROps digital employees. Triggers: "sre-init", "sre-observability", "sre-incident", "sre-capacity", "sre-architecture", "sre-security", "巡检", "诊断", "容量规划", "故障排查", "安全审计", "健康巡检", "CrashLoopBackOff", "扩缩容", "资源利用率" Keywords: SRE operations, intelligent diagnostics, observability, monitoring, performance optimization, HA architecture, STAROps, Alibaba Cloud, ECS, ACK, Pod diagnostics, resource utilization, root cause analysis, scaling recommendations

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 15 files body ≈ 5 682 tokens Open the sourceclawhub.ai↗ analyzed 28 h ago

Alibaba Cloud SRE skill for cloud infrastructure diagnosis, health inspection, capacity planning, incident response, and security audit, including scenarios…

As a process F 49/100 · Will not run — References files that are not bundled: references/cli-installation-guide.md, references/ram-policies.md, references/initialization-guide.md

AnalyzerInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: references/cli-installation-guide.md, references/ram-policies.md, references/initialization-guide.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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 body-long SKILL.md body ≈ 5682 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/cli-installation-guide.md
  • warning missing-ref reference to a missing file: references/ram-policies.md
  • warning missing-ref reference to a missing file: references/initialization-guide.md
  • warning missing-ref reference to a missing file: references/session-management.md
  • warning missing-ref reference to a missing file: references/starops-api.md
  • warning missing-ref reference to a missing file: references/verification-method.md

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: references/cli-installation-guide.md, references/ram-policies.md, references/initialization-guide.md
  • 0Tools and files. 6 referenced file(s) missing: references/cli-installation-guide.md, references/ram-policies.md, references/initialization-guide.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 40 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Steps. 66 steps, 6 vague phrases
  • 70Execution cost. Instruction body is 5682 tokens
  • 100Result and completion. Output format and completion criterion are stated
  • 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 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (8 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)
  • +3Description length 875: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 66 items
  • +3Output format is stated explicitly
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This Alibaba Cloud SRE skill is mostly coherent and disclosed, but it includes high-impact onboarding delete actions and persistent raw local traces that deserve human review before installation.
LLM: suspicious (high) · 24 Jul 2026