SKILLEMALL.ai

BC api-toolkit-free

API工具箱免费版是一套面向独立开发者与一人公司的轻量级API测试与调试工具集。围绕"请求构造—认证管理—错误诊断—文档速查"四件事,提供可复制即用的curl/HTTPie模板、常见认证流程速查表、HTTP状态码与错误体诊断决策树,以及一份覆盖15类共80+主流第三方服务的端点索引。Use

ClawHub Agent Skills author: 天轰穿 v1.0.0 MIT-0 2 files body ≈ 2 345 tokens Open the sourceclawhub.ai analyzed 2 d ago

API工具箱免费版是一套面向独立开发者与一人公司的轻量级API测试与调试工具集。围绕"请求构造—认证管理—错误诊断—文档速查"四件事,提供可复制即用的curl/HTTPie模板、常见认证流程速查表、HTTP状态码与错误体诊断决策树,以及一份覆盖15类共80+主流第三方服务的端点索引。Use

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationStripeHubSpotNotionGitHubCustomer supporttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
99
Quality 40%
72
Run on models
none yet
Process rating
C
51/100
Has gaps
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

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Exfiltration net-credential-use SKILL.md:112
      Credential used in a network call (verify the destination is the intended service) (security demo / example)
      curl -H "Authorization: Bearer $TOKEN" https://api.example.com/v1/data
      demo

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

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Map keys must be unique at line 21, column 1: suggested_price: "9.9 CNY/per_use" tools: ["read", "write", "exec"] ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "displayName"
    • note frontmatter-key unknown frontmatter key "summary"
    • note frontmatter-key unknown frontmatter key "edition"
    • note frontmatter-key unknown frontmatter key "tools"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "pricing_tier"
    • note frontmatter-key unknown frontmatter key "pricing_model"
    • note frontmatter-key unknown frontmatter key "suggested_price"

    Process rating: all ten parameters 51/100

    • 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
    • 30Running it twice. 3 mutating operations with no state check
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 33 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2345 tokens
    • 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

    • +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 145: enough signal without eating the budget
    • +4Structure: 30 headings
    • +3Step-by-step instructions: 33 items
    • +4Has examples (6 code blocks)
    • +1License stated

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

    External checks

    ClawHub: clean
    This skill is a plain Markdown API-debugging helper that mainly generates request templates and troubleshooting guidance, with some overbroad activation wording users should understand.
    LLM: benign (high) · VirusTotal: · 23 Jul 2026