BD GCCEO
Global CEO Mastery System | 全球CEO帝王学技能体系 Beyond Excellence, Achieving Greatness | 超越优秀 成就伟大 Inspired by HKU Global CEO Programme 2026 & CEIBS Global CEO Programme Powered by Morgan Stanley Research × McKinsey Methodology × Top-Tier Investment Banking & Private Equity
As a process D 35/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Risky intent
intent-offensive-securitySKILL.md:128Offensive-security / dual-use content (legitimate for authorised testing; review intended use)- 季度网络攻防演练(Red Team/Blue Team),年度CISO向董事会汇报
-
low Risky intent
intent-offensive-securitySKILL.md:198Offensive-security / dual-use content (legitimate for authorised testing; review intended use)- 每半年举行一次"红队演练"(Red Team Exercise),测试组织应变能力
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 9238 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "creator" - note
frontmatter-keyunknown frontmatter key "date" - note
frontmatter-keyunknown frontmatter key "language" - note
frontmatter-keyunknown frontmatter key "skills_count" - note
frontmatter-keyunknown frontmatter key "repository" - note
frontmatter-keyunknown frontmatter key "clawhub" - note
frontmatter-keyunknown frontmatter key "skillhub"
Process rating: all ten parameters 35/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (GCCEO) differs from the folder (gceo-global-ceo-skill-system)
- 40Execution cost. Instruction body is 9238 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 65 steps
- low 11 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
- -2460 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 267: enough signal without eating the budget
- +4Structure: 46 headings
- +3Step-by-step instructions: 65 items
- +4Has examples (12 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.