SKILLEMALL.ai

BF question-bank-api

题库 API 接口技能(第三方题库供应商提供的 K12 试题/试卷数据服务)。This skill should be used when a user who has purchased an API key wants to pull school questions or papers from the provider's API — especially 按知识点取题、按章节取题(语文/英语等)、按试卷取题,以及试题搜索、获取答案解析、生成 Word 试卷。Trigger phrases include: 按知识点出题、按章节取题、取出这套试卷的题、找五年级数学小数乘法的题、搜一道关于浮力的题、获取这道题的答案、把题目导出成 Word、组卷、调题库接口。Use scripts/qb.py to call the API and references/api_docs.md for the full endpoint/field reference。

ClawHub Agent Skills author: e953962json v1.0.0 MIT-0 6 files · 1 script body ≈ 1 008 tokens Open the sourceclawhub.ai analyzed 27 h ago

题库 API 接口技能(第三方题库供应商提供的 K12 试题/试卷数据服务)。This skill should be used when a user who has purchased an API key wants to pull school questions or papers from the…

As a process F 35/100 · Will not run — References files that are not bundled: scripts/qb.py

IntegrationSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/qb.py
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/qb.py
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/qb.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/qb.py
  • 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
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1008 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 435: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (9 code blocks)

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

External checks

ClawHub: clean
This is a disclosed question-bank API helper that uses a user-supplied API key and network calls for its stated education-data purpose.
LLM: benign (high) · VirusTotal: · 31 Jul 2026