SKILLEMALL.ai

BC project-timeline-board

一个真正零门槛的项目时间线管理页面——只需编辑一个 JS 配置文件(projectName / 关键节点 / 甘特图 / 待办清单),即可生成包含智能时间轴、甘特图、里程碑追踪和待办看板的完整页面。自动根据当前日期判断每个节点是'已完成'/'今日'/'即将到来'/'待启动',无需手动标注;甘特图支持交互/视觉/前端/后端等多类型彩色标注。适用于:产品规划、版本排期、设计协作交接、项目进度同步。创新点:数据与视图完全分离,改配置即改页面,不需要碰 HTML。

ClawHub Agent Skills author: ildar115 v2.2.0 MIT-0 7 files body ≈ 1 758 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

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
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: 7. 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. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1758 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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 230: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (13 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
The skill appears to be a local/config-driven page renderer with a real HTML-injection weakness, but the available evidence does not show hidden access, credential use, persistence, exfiltration, or destructive behavior.
LLM: benign (medium) · VirusTotal: · 29 May 2026