SKILLEMALL.ai

BF sustoiclab-think-framework

思考框架工具箱 · Su's StoicLab。当用户需要分析问题原因、做战略评估、对比选项做决策、多角度全面思考或优化精力分配时使用。覆盖根因分析(5W2H+鱼骨图)、战略评估(SWOT+波特五力)、决策支持(决策矩阵+成本效益)、多维思考(六顶思考帽)、效率聚焦(80/20法则+逆向思维)等场景。原创作品 by 苏庶 @ 钝感实验室。

ClawHub Agent Skills author: 苏庶 v0.1.0 MIT-0 12 files body ≈ 1 157 tokens Open the sourceclawhub.ai analyzed 2 d ago

思考框架工具箱 · Su's StoicLab。当用户需要分析问题原因、做战略评估、对比选项做决策、多角度全面思考或优化精力分配时使用。覆盖根因分析(5W2H+鱼骨图)、战略评估(SWOT+波特五力)、决策支持(决策矩阵+成本效益)、多维思考(六顶思考帽)、效率聚焦(80/20法则+逆向思维)等场景。原创作品 by…

As a process F 35/100 · Will not run — References files that are not bundled: references/模块D_多维思考.md, references/模块A_根因分析.md, references/模块B_战略评估.md

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
56
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/模块D_多维思考.md, references/模块A_根因分析.md, references/模块B_战略评估.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: 0. 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/模块D_多维思考.md
  • warning missing-ref reference to a missing file: references/模块A_根因分析.md
  • warning missing-ref reference to a missing file: references/模块B_战略评估.md
  • warning missing-ref reference to a missing file: references/模块C_决策支持.md
  • warning missing-ref reference to a missing file: references/模块E_效率聚焦.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/模块D_多维思考.md, references/模块A_根因分析.md, references/模块B_战略评估.md
  • 0Tools and files. 5 referenced file(s) missing: references/模块D_多维思考.md, references/模块A_根因分析.md, references/模块B_战略评估.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. 109 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1157 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

  • +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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 170: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 109 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: clean
This is a disclosed Chinese structured-thinking skill with no executable code, external access, persistence, or hidden high-impact behavior.
LLM: benign (high) · VirusTotal: · 28 Jul 2026