SKILLEMALL.ai

AD huaxia-wisdom

华夏老祖宗智慧 - 用中华老祖宗的智慧框架帮用户分析决策、效率、成长、关系、搞钱、生活问题。 包含24个经典智慧框架,每个有独特的思考工具和输出结构。支持跨模块组合应对复杂场景。触发条件:用户表现出纠结、焦虑、过度复杂化、权力斗争、利益冲突、内耗、急于求成、知道做不到、说服困难、竞争压力、精力透支等状态时自动匹配; 用户说"用XXX分析"、"请一位老祖宗"、提到阴阳平衡/庖丁解牛/法术势/知行合一/纵横捭阖等框架名时直接调用;用户问人生选择、职业规划、人际矛盾、谈判策略、竞争博弈等需要深度思考的问题时主动推荐

ClawHub Agent Skills author: liangjf v1.0.0 MIT-0 8 files body ≈ 1 331 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
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: 8. 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 (huaxia-wisdom) differs from the folder (huaxia-sage)
  • 100Tools and files. No external tools needed
  • 100Steps. 58 steps
  • 100Execution cost. Instruction body is 1331 tokens
  • 100Running it twice. No mutating operations

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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 257: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 58 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a text-only coaching skill with broad automatic triggers, but it does not request code execution, credentials, data access, persistence, or account-changing authority.
LLM: benign (high) · VirusTotal: · 29 May 2026