SKILLEMALL.ai

AC openclaw-growth-tracker

OpenClaw 个人成长追踪器 — 记录你在使用 OpenClaw 过程中的成长轨迹。 触发场景: - 想了解今天/本周的成长情况:"我的成长怎么样"、"今天做了什么" - 想看数据化的进展报告:"给我看数据"、"量化报告" - 完成重要任务后:"记录这个成就"、"完成任务" - 想回顾一段时间的变化:"周报"、"月度总结" - 每天结束时想看看:"今日复盘"、"今天效率如何" 核心理念: 成长不是靠感觉,而是靠记录。每一次对话、每一个任务、每一次突破, 都值得被看见。用数据说话,让进步看得见。

ClawHub Agent Skills author: alexduming v1.0.0 MIT-0 2 files body ≈ 1 102 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
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
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: 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 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. 4 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1102 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -228 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 251: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 4 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This is a local personal growth tracker, but it asks to automatically record ongoing OpenClaw conversations or usage after setup without clear limits or stop/delete controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026