AD skill-factory
Skill Factory（结构拆解引擎）— 将复杂任务拆解为3-6个独立、可执行、无依赖的子Skill结构。触发场景：(1) Orchestrator调用进行任务拆解；(2) 收到包含user_task和context的结构化输入；(3) 需要将复杂任务模块化拆解。只负责拆解，不负责调度或执行。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (skill-factory) differs from the folder (smallkeyboy-skill-factory)
- 100Tools and files. No external tools needed
- 100Steps. 44 steps
- 100Execution cost. Instruction body is 1109 tokens
- 100Running it twice. No mutating operations
- low 13 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 149: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 44 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
This is a narrow Markdown-only skill that helps decompose complex tasks into independent sub-skills and does not request code execution, credentials, persistence, or broad system access.
LLM: benign (high) · VirusTotal: · 28 May 2026