SKILLEMALL.ai

AC skill-builder

制作、修改、优化或审查 Skill 的通用技能,跨平台、不绑定特定 AI 生态。当用户想「把重复工作流/想法做成 skill」「帮我做个 skill」「优化/审查一个 skill」「这个 skill 触发不了帮我看看」,或提到 skill 制作、skill 优化、skill 评分时使用。即使对方没有明确说「skill」这个词,只要在描述一个想固化下来的重复流程,也主动使用本技能。Build, modify, optimize, or review skills; use when the user wants to turn a repetitive workflow or idea into a skill, or to improve/review an existing skill.

ClawHub Agent Skills author: CarolZ1 v0.1.0 MIT-0 6 files body ≈ 1 660 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

制作、修改、优化或审查 Skill 的通用技能,跨平台、不绑定特定 AI 生态。当用户想「把重复工作流/想法做成 skill」「帮我做个 skill」「优化/审查一个 skill」「这个 skill 触发不了帮我看看」,或提到 skill 制作、skill 优化、skill…

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions

ProcedureAI and agentstype 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
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
50
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: 6. 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 59/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 30 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1660 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • low 10 top-level sections: this looks like several domains in one skill

    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 349: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

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

    External checks

    ClawHub: clean
    This is a disclosed skill-building helper, with some broad activation and silent capability-check behavior users should understand before installing.
    LLM: benign (high) · VirusTotal: · 23 Sept 2026