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BB huawei-cloud-cce-pressure-test

Huawei Cloud CCE end-to-end workload pressure testing and performance evaluation using Python SDK dispatcher. Trigger: "pressure test", "压测", "load test", "负载测试", "stress test", "压力测试", "performance test", "性能测试", "k6 test", "k6 压测", "ELB traffic test", "ELB 流量测试", "end-to-end pressure test", "全链路压测", "elasticity evaluation", "弹性评估", "traffic generation", "流量生成"

ClawHub Agent Skills author: shijingcheng v0.1.0 MIT-0 54 files body ≈ 5 722 tokens Open the sourceclawhub.ai↗ analyzed 21 h ago

Huawei Cloud CCE end-to-end workload pressure testing and performance evaluation using Python SDK dispatcher.

As a process B 66/100 · Nearly there — weak spots: running it twice

AnalyzerKubernetesSoftware developmentInfrastructuretype 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
89/100
safety, quality, tests
Safety 60%
93
Quality 40%
83
Run on models
none yet
Process rating
B
66/100
Nearly there
Running it twice w 4
30
When it triggers w 12
50
Failures and branches w 10
50
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.
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: 40. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5722 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 66/100

  • 30Running it twice. 31 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 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
  • 70Execution cost. Instruction body is 5722 tokens
  • 85Steps. 52 steps, 1 vague phrases
  • 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 10 top-level sections: this looks like several domains in one skill

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 10 example trigger phrases
  • +3Description length 364: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 52 items
  • +3Output format is stated explicitly
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

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

External checks

ClawHub: suspicious
This Huawei Cloud/Kubernetes skill appears legitimate in purpose, but it gives agents broad cloud and cluster authority with weak guardrails around credentials, secrets, logs, public API exposure, and live mutations.
LLM: suspicious (medium) · VirusTotal: · 17 Jun 2026