SKILLEMALL.ai

BC double6-workbench-builder

把普通用户反复要做的真实事情构建成离线优先、严格单文件、个人数据留在当前设备的本地工作台。用户提到个人工作台、学习台、备考台、任务面板、记录与复盘工具,或想把重复流程做成可保存恢复的页面时应使用;联网、多人协作、账号、支付和发布属于独立外部流程。

ClawHub Agent Skills author: Double6 v0.41.0 MIT-0 29 files body ≈ 432 tokens Open the sourceclawhub.ai analyzed 2 d ago

把普通用户反复要做的真实事情构建成离线优先、严格单文件、个人数据留在当前设备的本地工作台。用户提到个人工作台、学习台、备考台、任务面板、记录与复盘工具,或想把重复流程做成可保存恢复的页面时应使用;联网、多人协作、账号、支付和发布属于独立外部流程。

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

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
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: 29. 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. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 432 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
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 123: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (4 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a local offline workbench builder with disclosed file creation and browser-check steps, and I did not find hidden exfiltration, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 9 Aug 2026