SKILLEMALL.ai

CF custom-asset-manager

管理自建图库(角色库、道具库、场景库)全生命周期资产。支持初始化与挂载图库目录、新增归档资产、替换基准图、修改名称与标签、安全删除资产、查询清单及自动刷新画廊。当用户提出“添加到角色库”、“替换IP图片”、“修改角色名称”、“删除角色/道具/场景”、“初始化图库目录”等资产维护需求时使用。

yang0/handraw-style Agent Skills author: yang0 1 file body ≈ 757 tokens Open the sourcegithub.com↗ analyzed 2 h ago

管理自建图库(角色库、道具库、场景库)全生命周期资产。支持初始化与挂载图库目录、新增归档资产、替换基准图、修改名称与标签、安全删除资产、查询清单及自动刷新画廊。当用户提出“添加到角色库”、“替换IP图片”、“修改角色名称”、“删除角色/道具/场景”、“初始化图库目录”等资产维护需求时使用。

As a process F 33/100 · No process to follow — References files that are not bundled: ../handdraw-style-prompter/scripts/custom_library_manager.py

ProcedureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
33/100
No process to follow
References files that are not bundled: ../handdraw-style-prompter/scripts/custom_library_manager.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 1. 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")
  • warning missing-ref reference to a missing file: ../handdraw-style-prompter/scripts/custom_library_manager.py

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: ../handdraw-style-prompter/scripts/custom_library_manager.py
  • 0Tools and files. 1 referenced file(s) missing: ../handdraw-style-prompter/scripts/custom_library_manager.py
  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 100Steps. 53 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 757 tokens
  • low The response is described with custom markup (5 tags): a typed call is more reliable

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 145: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 53 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.