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BD tencentcloud-edgeone

Manage Tencent Cloud EdgeOne (CDN + edge security). Use when the user asks to: list zones, purge CDN cache (URL / prefix / hostname / all), prefetch URLs to warm edges, check purge / prefetch task status, manage acceleration domains, list / create / delete EdgeOne DNS records, inspect WAF / security configuration. Backed by the official tencentcloud-sdk-python TEO client.

AceDataCloud/Skills Agent Skills author: AceDataCloud 2 files · 1 script body ≈ 1 949 tokens Open the sourcegithub.com↗ analyzed 5 h ago

Manage Tencent Cloud EdgeOne (CDN + edge security).

As a process D 39/100 · Unfinished process — References files that are not bundled: ../_shared/tencentcloud.md

ProcedureInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
39/100
Unfinished process
References files that are not bundled: ../_shared/tencentcloud.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../_shared/tencentcloud.md
  • note frontmatter-key unknown frontmatter key "connections"

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: ../_shared/tencentcloud.md
  • 0Tools and files. 1 referenced file(s) missing: ../_shared/tencentcloud.md
  • 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
  • 30Running it twice. 6 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1949 tokens

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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 374: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (15 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.