SKILLEMALL.ai

AD gaosi-summer-review

Build a structured summer review plan for the 高思导引 (Gaosi Guide) competition-math series, grades 4-6, following its 7-module knowledge tree. This skill should be used when a user asks to create a 高思导引 / 小学数学暑假总复习 plan, a knowledge-tree-based review schedule, or a quantifiable daily 打卡表 (check-in sheet) with red/yellow/blue tier marking and PDF export. Trigger phrases include 高思导引总复习, 暑假总复习计划, 按知识树复习, 高思打卡表.

ClawHub Agent Skills author: Shuolongbj v1.0.1 MIT-0 7 files body ≈ 418 tokens Open the sourceclawhub.ai analyzed 2 d ago

Build a structured summer review plan for the 高思导引 (Gaosi Guide) competition-math series, grades 4-6, following its 7-module knowledge tree.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
D
46/100
Unfinished process
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 · 0

    ✓ No critical or high findings

    Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "agent_created"

    Process rating: all ten parameters 46/100

    • 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
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 15 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 418 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 410: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 15 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This is a coherent Chinese-language education-planning skill with a local PDF export helper and no evidence of hidden data access, persistence, exfiltration, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 17 Jul 2026