SKILLEMALL.ai

BD bullet-journal-gen

子弹笔记生成skill。将零散的自然语言输入转换为规范的子弹笔记格式, 包含任务、事件、笔记分类,自动润色语言,生成可视化卡片和打印版本。 工作学习相关内容自动合并到Obsidian日志,支持标签、双链和规范格式。 触发词:子弹笔记、记录今天、今天计划、写日记、每日记录、 整理笔记、生成日记、今天做了什么、明天计划、日程安排、 待办事项、任务清单、记下来、今天总结、日计划

ClawHub Agent Skills author: sirutong v1.0.0 MIT-0 21 files body ≈ 1 680 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureObsidianPersonal productivityInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
49/100
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: 21. 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 49/100

  • 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 (bullet-journal-gen) differs from the folder (bullet-journal-generator)
  • 100Tools and files. No external tools needed
  • 100Steps. 30 steps
  • 100Execution cost. Instruction body is 1680 tokens
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill

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
  • -34 of 11 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 189: enough signal without eating the budget
  • +4Structure: 38 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (21 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This skill is a useful journal generator, but it automatically persists sensitive notes and generates interactive HTML with weak safety controls, so users should review it before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026