SKILLEMALL.ai

CC xiaozhi-teach-chemistry-notation-drill

帮化学老师设计班级的化学用语过关体系:元素符号、化合价、化学式、化学方程式分级过关,贯穿全年分段推进,配合间隔回看与分层任务;高中延伸到必修与选择性必修(第 5~8 级)。触发语示例:"全班化学式总写错,怎么设计过关""化合价默写怎么安排才不突击""方程式配平怎么分层训练""过关卡怎么设计""过关没通过的学生怎么跟进"。不处理:整节课的教案(含复习课、讲评课,转化学教案设计)、实验教学(转化学实验教学指导)、单元练习、试卷与试卷分析(分别转测评设计师、学情分析师)。

ClawHub Hermes author: 小智伴学 v2.11.1 MIT-0 12 files body ≈ 1 059 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

帮化学老师设计班级的化学用语过关体系:元素符号、化合价、化学式、化学方程式分级过关,贯穿全年分段推进,配合间隔回看与分层任务;高中延伸到必修与选择性必修(第 5~8…

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

ProcedureLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
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

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: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 235 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. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1059 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

  • +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
  • +5Description quotes 5 example trigger phrases
  • +3Description length 235: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

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

External checks

ClawHub: clean
This is a coherent Chinese K12 chemistry-teacher skill that creates notation drill plans and uses limited, disclosed class-workspace data with teacher-confirmed writes.
LLM: benign (high) · VirusTotal: · 8 Oct 2026