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AB huawei-cloud-cce-ops-report-generator

Use when generating consolidated CCE operations reports that combine daily inspection, capacity trend, availability risk, cost optimization, and on-call context into weekly, monthly, SLA, capacity, or stability reports with Markdown and HTML output. Trigger: user mentions "ops report", "运维报告", "report generation", "报告生成", "cluster report", "集群报告", "weekly report", "月度报告", "SLA report", "capacity report", "stability report", "operations summary", "运营总结", "consolidated report", "综合报告", "CCE reporting", "oncall report", "值班报告"

ClawHub Agent Skills author: shijingcheng v0.1.1 MIT-0 51 files body ≈ 3 789 tokens Open the sourceclawhub.ai↗ analyzed 21 h ago

Use when generating consolidated CCE operations reports that combine daily inspection, capacity trend, availability risk, cost optimization, and on-call…

As a process B 65/100 · Nearly there — weak spots: failures and branches, running it twice

GeneratorOperations and projectstype 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
93/100
safety, quality, tests
Safety 60%
93
Quality 40%
92
Run on models
none yet
Process rating
B
65/100
Nearly there
Failures and branches w 10
0
Running it twice w 4
30
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

    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 · 7

    ✓ No critical or high findings

    Medium and low: 7
    • low Secrets in code secret-high-entropy-token scripts/huawei_cloud/aom.py:665
      High-entropy token-like string (may be an id, hash or a credential)
      AddO…ody,
    • low Secrets in code secret-high-entropy-token scripts/huawei_cloud/aom.py:737
      High-entropy token-like string (may be an id, hash or a credential)
      body = AddO…ody(
    • low Secrets in code secret-high-entropy-token scripts/huawei_cloud/aom.py:932
      High-entropy token-like string (may be an id, hash or a credential)
      Dele…ody,
    • low Secrets in code secret-high-entropy-token scripts/huawei_cloud/aom.py:1336
      High-entropy token-like string (may be an id, hash or a credential)
      AddO…ody,
    • low Secrets in code secret-high-entropy-token scripts/huawei_cloud/aom.py:1372
      High-entropy token-like string (may be an id, hash or a credential)
      body = AddO…ody(
    • low Secrets in code secret-password-literal scripts/huawei_cloud/cce_node.py:646
      Hard-coded password / key literal (may be an example)
      login = Login(user_password=UserPassword(username="root", password=salted_b64))
    • low Secrets in code secret-password-literal scripts/huawei_cloud/cce_nodepool.py:456
      Hard-coded password / key literal (may be an example)
      user_password.password = base…ode(hashed.encode("utf-8")).decode("utf-8")

    Files scanned: 51. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "id"

    Process rating: all ten parameters 65/100

    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 4 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 59 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3789 tokens
    • 100Progress reporting. Reports progress
    • low 11 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 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 11 example trigger phrases
    • +3Description length 529: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 59 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: suspicious
    This skill is advertised as a read-only Huawei Cloud CCE report generator, but the packaged dispatcher exposes many live infrastructure and monitoring mutation actions.
    LLM: suspicious (high) · VirusTotal: · 16 Jun 2026