SKILLEMALL.ai

AC zmm-dependency

📐 詹明明·这生意靠谁 ——依赖体检:你的生意攥在谁手里。谁能单方面改规则、涨价、或者不给你了——平台、房东、牌照、关键的人、货源、收款通道。每个高危项都必须算出「换掉他要花多少钱、多久」,算不出就是没评估。 触发方式:/zmm-dependency、/靠谁、/依赖体检、「平台改规则怎么办」「房东要涨租」「师傅要走」「断货了」「被卡脖子」「这生意到底靠谁」 Dependency checkup for owner-operators: who can unilaterally change the rules on you — platforms, landlords, licences, key people, suppliers, payment rails. Every high-risk item must carry a switching cost and switching time, or it counts as unassessed. Trigger: /zmm-dependency, "what if the platform changes the rules", "my landlord is raising rent", "my key person might leave", "supply got cut" —— 📐 詹明明 · 不给公式,给判据。每条规则都标了实测代价。

ClawHub Agent Skills author: 詹明明 v0.2.5 MIT-0 3 files body ≈ 1 435 tokens Open the sourceclawhub.ai analyzed 3 d ago

📐 詹明明·这生意靠谁 ——依赖体检:你的生意攥在谁手里。谁能单方面改规则、涨价、或者不给你了——平台、房东、牌照、关键的人、货源、收款通道。每个高危项都必须算出「换掉他要花多少钱、多久」,算不出就是没评估。…

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

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "displayName"

    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. 19 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1435 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
    • -214 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 613: enough signal without eating the budget
    • +4Structure: 24 headings
    • +3Step-by-step instructions: 19 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: suspicious
    The skill is a coherent business-dependency assessment guide, but it asks to read shared persistent memory and save sensitive business details without clear user control.
    LLM: suspicious (high) · 6 Sept 2026