SKILLEMALL.ai

AC domain-payload-generator

领域负载物技能制作器(Meta-Skill)——Universal Task OS的技能工厂。独立创建与UTOS完全兼容的领域负载物技能,不依赖任何被创建的目标技能。提供领域分析框架(R1-R5分类定位/价值链拆解/任务枚举/UTOS映射推导)、三层结构模板(SKILL.md+catalog+requirements+exemplars)、UTOS接口校验清单(21项逐条检查零冲突保障)、标准化生成工作流。复杂领域建议先用 Workflow Refactor 重构工作流再生成。触发词:领域负载物、技能制作、技能生成、知识参考库、新领域技能、domain payload、skill generator、meta-skill。

ClawHub Agent Skills author: 波动几何 v1.0.3 MIT-0 6 files body ≈ 982 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

GeneratorInfrastructureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

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. 8 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 982 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 315: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This is a disclosed meta-skill for generating UTOS-compatible skill scaffolds, with no evidence of hidden code execution, exfiltration, or destructive behavior.
LLM: benign (high) · VirusTotal: · 16 Jun 2026