SKILLEMALL.ai
GitHub ↗ RU Sign in

BD txcloud-diagnostics

用于腾讯云云产品异常诊断。当用户反馈腾讯云相关的任何异常、产品/实例不可用等情况时，根据反馈的实例和异常信息，自动拉取监控等数据进行分析诊断，输出原因和建议。

ClawHub Agent Skills author: careyzhang v1.0.0 MIT-0 21 files body ≈ 1 273 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

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
86/100
safety, quality, tests
Safety 60%
96
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token scripts/product_profiles/container.md:7
    High-entropy token-like string (may be an id, hash or a credential)
    | TKE 容器服务 (Pod) | `QCE/TKE2` | `tke_cluster_instance_id` + `pod_name`/`namespace` 等 | cls-xxx | K8sP…sed, K8sP…mit, K8sP…tes, K8sP…mit, K8sPodNetw
  • low Secrets in code secret-high-entropy-token scripts/product_profiles/container.md:15
    High-entropy token-like string (may be an id, hash or a credential)
    | 网络问题 | K8sP…sBw, K8sP…sBw, K8sP…tal |
  • low Dangerous commands cmd-background-process scripts/tccli_auth_daemon.py:6
    Starts a background / autostarted process (string literal in code, not executed)
    nohup python3 -u scripts/tccli_auth_daemon.py > /tmp/tccli_daemon.log 2>&1 &
    code literal
  • low Dangerous commands cmd-background-process SKILL.md:94
    Starts a background / autostarted process
    nohup python3 -u scripts/tccli_auth_daemon.py > /tmp/tccli_daemon.log 2>&1 &

Files scanned: 21. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1273 tokens
  • 100Running it twice. No mutating operations

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 79: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (7 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This Tencent Cloud diagnostics skill is purpose-related, but it needs Review because it can start cloud authentication and run remote shell commands on instances without strong consent or enforcement boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026