SKILLEMALL.ai

AD zmm-skillify

📐 詹明明·做成一个技能 ——把这次会话里已经跑通的做法固化成一个新技能。不是从想法造技能——是从**已经产生过正确结果的那一段过程**里提炼,所以只在事情做完之后用。 触发方式:/zmm-skillify、/固化、/做成技能、/zmm-固化、「这次的做法留下来」「把刚才那套变成技能」「下次别再重新想一遍」「这个流程以后还要用」 Turn a method that already worked in this session into a reusable skill. Extracts from a completed run, never from an idea — so it only fires after the work is done. Trigger: /zmm-skillify, "make this a skill", "save this workflow", "I don't want to re-derive this next time" —— 📐 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 v0.1.5 MIT-0 3 files body ≈ 1 004 tokens Open the sourceclawhub.ai analyzed 3 d ago

📐 詹明明·做成一个技能 ——把这次会话里已经跑通的做法固化成一个新技能。不是从想法造技能——是从已经产生过正确结果的那一段过程里提炼,所以只在事情做完之后用。…

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

GeneratorInfrastructuretype 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
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: 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 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 (bash) that frontmatter does not declare
    • 100Steps. 18 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1004 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
    • -220 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 476: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 18 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: 89.

    External checks

    ClawHub: suspicious
    The skill is not malicious, but it needs review because broad local memory and mutable vault rules can influence generated skills.
    LLM: suspicious (high) · 6 Sept 2026