SKILLEMALL.ai

BF consulting-methods-toolkit

当用户需要管理咨询分析、诊断框架选择、问题拆解、战略工具应用(如5W2H、5WHY、PDCA、PESTEL、7S、波特五力、SWOT、BSC、波士顿矩阵、GE矩阵、价值链)时使用。基于管理咨询顾问常用的方法和工具,输出结构化分析过程与交付模板。

ClawHub Agent Skills author: park-william v1.0.1 MIT-0 14 files body ≈ 465 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 31/100 · Will not run — References files that are not bundled: references/source-extracted.txt

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/source-extracted.txt
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: 14. 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/source-extracted.txt

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/source-extracted.txt
  • 0Tools and files. 1 referenced file(s) missing: references/source-extracted.txt
  • 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 (consulting-methods-toolkit) differs from the folder (consulting-methods-skill)
  • 100Steps. 31 steps
  • 100Execution cost. Instruction body is 465 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 122: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 31 items
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a documentation-only management consulting toolkit that matches its stated purpose and does not request unusual access or execute code.
LLM: benign (high) · VirusTotal: · 29 May 2026