SKILLEMALL.ai

AC divorce-guide

绂诲搴旇瘔鎸囧崡AI鍔╂墜銆傚綋鐢ㄦ埛琚捣璇夌濠氶渶瑕佸簲璇夊府鍔╂椂锛屾彁渚涘叏娴佺▼鎸囧锛? 搴旇瘔娴佺▼瀵艰埅銆佺瓟杈╃姸鐢熸垚銆佹劅鎯呯牬瑁傝瘉鎹噯澶囥€佽储浜у垎鍓插垎鏋愩€佸瓙濂虫姎鍏绘潈璇勪及銆? 搴旇瘔绛栫暐寤鸿銆佹硶寰嬫潯鏂囬€熸煡銆傝鐩栦粠鏀跺埌璧疯瘔鐘跺壇鏈埌鍒ゅ喅鎵ц鐨勫叏閾捐矾銆? Triggers: 绂诲搴旇瘔, 琚捣璇夌濠? 鏀跺埌绂诲浼犵エ, 绂诲绛旇京鐘? 绂诲琚憡, 绂诲鎬庝箞鍔? 瀵规柟璧疯瘔绂诲, 绂诲搴旇瘔绛旇京, 濡備綍搴旇瘔绂诲, 绂诲瀹樺徃, 绂诲璇夎琚憡, divorce defense, 绂诲璐骇鎬庝箞鍒? 瀛╁瓙鎶氬吇鏉? 鎰熸儏鐮磋璇佹嵁, 绂诲璇佹嵁鏀堕泦, 绂诲娉曞緥鍜ㄨ

ClawHub Agent Skills author: bettermen v1.0.0 MIT-0 4 files body ≈ 1 664 tokens Open the sourceclawhub.ai analyzed 18 h ago

绂诲搴旇瘔鎸囧崡AI鍔╂墜銆傚綋鐢ㄦ埛琚捣璇夌濠氶渶瑕佸簲璇夊府鍔╂椂锛屾彁渚涘叏娴佺▼鎸囧锛?

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

ProcedureLegaltype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
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

    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: 4. 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 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. 44 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1664 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 353: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 44 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is a prompt-only Chinese divorce-litigation guidance skill with legal-risk disclaimers and no executable, credential, network, persistence, or data-access behavior.
    LLM: benign (high) · VirusTotal: · 13 Jun 2026