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BD personal-assistant

个人工作任务管理助手。使用场景：记录待办事项、查看今日任务、更新任务进展、 管理周期性任务、同步 OKR、生成工作月报/半年报。触发关键词：任务、待办、 提醒、进展、OKR、月报、周报、报告。显式触发命令：ZHULI#。

ClawHub Hermes author: A.H89 v1.0.1 MIT-0 33 files · 1 script body ≈ 1 067 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

个人工作任务管理助手。使用场景：记录待办事项、查看今日任务、更新任务进展、 管理周期性任务、同步 OKR、生成工作月报/半年报。触发关键词：任务、待办、 提醒、进展、OKR、月报、周报、报告。显式触发命令：ZHULI。

As a process D 37/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureOperations and projectstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
D
37/100
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.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 111 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "prerequisites"

Process rating: all ten parameters 37/100

  • 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
  • 0Consistency. Frontmatter name (personal-assistant) differs from the folder (gongzuofuzhu01)
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 29 steps
  • 100Execution cost. Instruction body is 1067 tokens
  • 100Progress reporting. Reports progress
  • low 10 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)
  • +3Description length 110: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -313 of 14 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This is a coherent task-management skill, but it grants ongoing scheduled access and broad import/export/sync abilities over potentially sensitive work data.
LLM: suspicious (high) · VirusTotal: · 31 May 2026