SKILLEMALL.ai

AC jiaoyifu-workplanning

运营方案与工作规划核心技能。覆盖所有运营体系下的方案输出场景。 核心原则:用数据把问题锁死,用四层路径把解法锁死。 五节主结构(所有场景通用):核心结论 → 现状诊断 → 目标确定 → 方法路径 → 执行方案。 全场景内置「脚姨夫视角评估」两级审核:①每模块输出后自动六维审核(承诺可兑现/执行不自欺/受益方清晰/逻辑一致/数字可追/病因命中);②全模块确认后整合完整版,触发整体终审,用户确认后收尾。问题在模块内解决,不等整体完成后返工。 使用场景:用户说"工作规划"、"运营方案"、"服务体系方案"、"4月规划"、"季度规划"、 "全年规划"、"目标规划方案"、"活动方案"、"汇报材料"、"xxx方案"等运营/规划/汇报类任务。 触发关键词:工作规划、运营方案、服务体系方案、业务规划、月度规划、季度规划、年度规划、 活动方案、活动策划、工作汇报、复盘报告、增长策略、目标拆解。 替代技能:operation-plan、monthly-goal-planning、annual-strategic-planning、work-planning。

ClawHub Agent Skills author: Jiaoyifu v2.0.0 MIT-0 9 files body ≈ 1 193 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
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: 9. 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. 52 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1193 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
  • -214 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 475: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 52 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This is a planning-document skill that discloses its markdown file workflow and shows no evidence of hidden access, exfiltration, destructive behavior, or credential use.
LLM: benign (high) · VirusTotal: · 29 May 2026