SKILLEMALL.ai

BD task-planner

任务规划与执行引导工具。当用户提出需要多步骤完成的复杂任务、请求帮忙规划工作、说"帮我规划"、"拆解任务"、"怎么完成这个"时触发。也适用于用户描述了一个大目标但不确定从哪里开始的场景。即使用户没有明确说"规划",只要任务明显涉及3个以上步骤、多个依赖关系、或需要分阶段完成,都应该使用此 skill。覆盖场景包括但不限于:项目规划、工作拆解、目标分解、流程设计、方案制定、里程碑设定等。

ClawHub Agent Skills author: Jiangrb v0.1.0 MIT-0 2 files body ≈ 586 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 41/100 · Unfinished process — 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
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
41/100
Unfinished process
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: 2. 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 41/100

  • 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
  • 40Consistency. Frontmatter name (task-planner) differs from the folder (task-planner-2)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 34 steps
  • 100Execution cost. Instruction body is 586 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 194: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 34 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 an instruction-only task-planning skill whose disclosed planning and optional execution guidance fits its stated purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026