SKILLEMALL.ai

BC xiaozhi-teach-parent-communication

帮独立教师把"临时想起来发条消息"变成有节奏、不制造焦虑的家长沟通。适用于老师说"帮我想个消息发给家长""家长问成绩怎么回""孩子这次退步了怎么说""家长很担心怎么回""续课怎么跟家长说""家长群里发什么""家长不太配合怎么办"。流程:认场景 → 查授权位 → 按具体/低焦虑/可操作三原则起草 → 检查频率是否过密 → 记录渠道与发送状态。本 SKILL 只起草不发送,唯一的持久化写入是 parentCommunicationLogs[]。不写课后记录、不登记作业、不排课、不做阶段报告,也不改学员档案(status、沟通偏好、授权位、保留期一概不动)——素材来自 lesson-log 与 homework-tracker,阶段报告转 renewal-report,档案改动转 student-intake。

ClawHub Hermes author: 小智伴学 v2.1.12 MIT-0 13 files body ≈ 3 428 tokens Open the sourceclawhub.ai analyzed 2 d ago

帮独立教师把"临时想起来发条消息"变成有节奏、不制造焦虑的家长沟通。适用于老师说"帮我想个消息发给家长""家长问成绩怎么回""孩子这次退步了怎么说""家长很担心怎么回""续课怎么跟家长说""家长群里发什么""家长不太配合怎么办"。流程:认场景 → 查授权位 → 按具体/低焦虑/可操作三原则起草 → 检查频率是否过密…

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

ProcedureData and analyticsLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
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

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. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 357 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "grade_bands"
  • note frontmatter-key unknown frontmatter key "depends_on"
  • note frontmatter-key unknown frontmatter key "id"
  • note frontmatter-key unknown frontmatter key "min_platform_version"
  • note frontmatter-key unknown frontmatter key "max_round_limit"
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"

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. No external tools needed
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3428 tokens
  • 100Running it twice. No mutating operations
  • low 15 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -218 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +5Description quotes 8 example trigger phrases
  • +3Description length 357: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (19 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
The skill is mostly coherent and does not send messages itself, but it handles sensitive student-parent communication with under-specified consent and record-lifecycle checks.
LLM: suspicious (high) · VirusTotal: · 7 Sept 2026