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BC homework-companion

AI 伴学助手 —— 面向 K12 孩子的作业辅导智能体。当孩子或家长提交作业题目（拍照、截图、语音口述）时，自动识别题目、用苏格拉底式引导法讲解思路（绝不直接给答案）、生成错题本、输出家长报告。适用于数学、语文、英语、科学等学科的作业辅导、预习复习、错题整理场景。当对话中出现「辅导作业」「孩子题目不会做」「帮孩子讲题」「错题本」「伴学」「作业助手」等意图时触发。⚠️ 前置依赖：OCR/ASR/TTS 已内置为 scripts/ 下的 Python 脚本（基于腾讯云 SDK，首次使用需执行 pip install -r scripts/requirements.txt），并需配置腾讯云密钥 TENCENTCLOUD_SECRET_ID / TENCENTCLOUD_SECRET_KEY。

ClawHub Agent Skills author: wukongmazi v1.0.1 MIT-0 11 files body ≈ 795 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

AI 伴学助手 —— 面向 K12…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationLearningtype 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%
95
Quality 40%
73
Run on models
none yet
Process rating
C
53/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Glob Grep Write Edit Bash

Files scanned: 0. 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")
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 47 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 795 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)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 348: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 47 items
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This skill is a coherent homework helper, but it needs Review because it processes children's images, audio, text, and learning records through cloud services and persistent local reports without clear consent, retention, or sharing controls.
LLM: suspicious (high) · 29 Jul 2026