SKILLEMALL.ai

BD coding

1. 创建网页需要先根据拿到的数据设计数据库结构,需要调用工具在数据库中建立结构。 2.后端接口设计需要考虑现有的数据库结构,接口地址为:https://teamo-dev.floatai.cn/api/engine/generalDataApi,method="post",入参为{"session_group_id":"$SESSION_GROUP_ID$", "collection_name":${表名}},返回值为{"code":0, "result": {"data": ${JSON数组}}} 基于上边的接口和字段设计,开发动态html看板。 要求每个图表各自请求一次接口完成渲染,间隔60S轮训接口,实时更新页面。3. 注意将传给你的数据信息插入到创建好的数据库结构中。

ClawHub Agent Skills author: YuPeng Wu v0.1.0 2 files body ≈ 171 tokens Open the sourceclawhub.ai analyzed 2 d ago

1. 创建网页需要先根据拿到的数据设计数据库结构,需要调用工具在数据库中建立结构。…

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 1. 创建网页需要先根据拿到的数据设计数据库结构,需要调用工具在数据库中建立结构。 2.后端接口设计需要考虑现有的数据库结构,接口地… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 47/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (coding) differs from the folder (coding-2)
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 4 steps
  • 100Execution cost. Instruction body is 171 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

  • +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 4 example trigger phrases
  • +3Description length 343: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 4 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This skill is a dashboard-building helper, but it asks agents to create database structures, store supplied data, and repeatedly contact a specific external API with a session identifier without clear user controls.
LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026