SKILLEMALL.ai

BC artifact-organizer

按任务阶段而不是按文件类型整理混合产物。当编码、写作、脚本处理、研究、自动化或多步骤任务产生多个文件,且文件开始散落、临时产物与最终产物混在一起、目录结构不清晰,或用户提出“整理目录”“整理工作区”“归类”“归档”“收整产物”“文件有点乱”“帮我理一理结构”时,使用此技能。既支持任务开始前先规划 staged 目录结构,也支持对已经变乱的任务目录做清理和重组;遇到密码、token、API key、服务器凭据等精确敏感信息时,优先归入现有 secrets/ 体系。

ClawHub Agent Skills author: big-dust v1.0.0 MIT-0 3 files body ≈ 626 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

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
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: 3. 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. 87 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 626 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 233: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 87 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This is a local workspace organization guide whose file-moving and sensitive-file handling advice is disclosed and aligned with its purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026