SKILLEMALL.ai

BD 苹果开发者文档搜索服务

通过模型上下文协议(MCP)访问苹果官方开发者文档、框架、API及WWDC视频,支持AI驱动的自然语言查询,提供Swift/Objective-C代码示例和技术指南。

ClawHub Agent Skills author: ALinkLab v1.0.1 MIT-0 7 files body ≈ 5 689 tokens Open the sourceclawhub.ai analyzed 35 h ago

通过模型上下文协议(MCP)访问苹果官方开发者文档、框架、API及WWDC视频,支持AI驱动的自然语言查询,提供Swift/Objective-C代码示例和技术指南。

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

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
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.
  2. 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 · 0

✓ No critical or high findings

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5689 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (苹果开发者文档搜索服务) differs from the folder (search-apple-docs)
  • 60Steps. 14 steps, 5 vague phrases
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5689 tokens
  • 100Tools and files. No external tools needed
  • low 25 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

  • +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 83: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 45 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (2 code blocks)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: clean
This skill is a disclosed third-party Apple documentation search wrapper, but users should understand it stores and sends a XiaoBenYang API key and queries to that service.
LLM: benign (high) · VirusTotal: · 9 Jul 2026