SKILLEMALL.ai

AC memory-system

个人AI记忆系统(Personal AI Memory System)。当用户说以下任何内容时立即触发: 记忆系统、记录今天、写日记、今天发生了、随手记、快速记录、 回顾过去、整理我的经历、帮我做决策、沙盘推演、这件事该不该做、 分析我最近的状态、预测一下、我的目标、追踪进度、生成周报、 生成月报、生成年报、这周怎么样、这个月总结、今年回顾、 初始化记忆系统、建立我的档案、你觉得我是什么样的人、 帮我补记、我好久没记录了、给未来的自己写封信、庆祝一下、 我完成了、我失败了、我很崩溃。 这是一个以个人为单位、持续生长的AI记忆载体, 兼具人生记录仪和个人决策顾问两种属性。

ClawHub Agent Skills author: ChenChen v3.1.0 MIT-0 17 files body ≈ 1 019 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 51/100 · 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%
74
Run on models
none yet
Process rating
C
51/100
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: 17. 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")
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "force_install"
  • note frontmatter-key unknown frontmatter key "autonomous_invocation"

Process rating: all ten parameters 51/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (memory-system) differs from the folder (personal-memory-system)
  • 100Tools and files. No external tools needed
  • 100Steps. 28 steps
  • 100Execution cost. Instruction body is 1019 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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
  • +2Single-language instructions
  • +3Description length 288: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This is a disclosed local journaling and personal memory skill that handles sensitive data, but I found no hidden network access, credential use, destructive behavior, or purpose-mismatched actions.
LLM: benign (high) · VirusTotal: · 29 May 2026