SKILLEMALL.ai

BF zhixing-heyi

知行合一实用框架——王阳明 × 阿德勒 × 行动力三合一,加 Dan Koe 一天重塑人生协议。核心使命:帮助用户无痛改变、积极的行动、最终达到知行合一。包含:参数 vs Prompt 核心洞察、觉察-选择-行动三步法、一日重塑人生完整方案、人生游戏化框架。当用户需要:分析"知而不行"的心理机制、理解改变的本质、打破拖延/完美主义/研究成瘾、建立持续成长的习惯体系、一天重塑人生方向、构建人生游戏框架时使用。

ClawHub Agent Skills author: Chase-Zhouchang v1.0.0 MIT-0 12 files body ≈ 970 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 35/100 · Will not run — References files that are not bundled: references/brain-as-llm-core.md, references/neuroscience-addiction.md, references/three-in-one.md

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/brain-as-llm-core.md, references/neuroscience-addiction.md, references/three-in-one.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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. The text references files that are not there: add them or drop the references.
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: 12. 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")
  • warning missing-ref reference to a missing file: references/brain-as-llm-core.md
  • warning missing-ref reference to a missing file: references/neuroscience-addiction.md
  • warning missing-ref reference to a missing file: references/three-in-one.md
  • warning missing-ref reference to a missing file: references/wang-yangming.md
  • warning missing-ref reference to a missing file: references/adler.md
  • warning missing-ref reference to a missing file: references/action-framework.md
  • warning missing-ref reference to a missing file: references/parameter-vs-prompt.md
  • warning missing-ref reference to a missing file: references/dan-koe-7-insights.md
  • warning missing-ref reference to a missing file: references/dan-koe-protocol-questions.md
  • warning missing-ref reference to a missing file: references/dan-koe-game-framework.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/brain-as-llm-core.md, references/neuroscience-addiction.md, references/three-in-one.md
  • 0Tools and files. 10 referenced file(s) missing: references/brain-as-llm-core.md, references/neuroscience-addiction.md, references/three-in-one.md
  • 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
  • 100Steps. 53 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 970 tokens
  • 100Running it twice. No mutating operations
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 205: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 53 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This is a Chinese self-improvement guidance skill made of markdown reference material, with no code execution, credentials, persistence, or hidden system access.
LLM: benign (high) · VirusTotal: · 29 May 2026