BF 胡田-OPC导师-黄金交易
跨境黄金交易全流程咨询技能，覆盖合规分析、供货方尽调、交易流程、分账税务、账本管理、风险识别、银行验证、交易审核八大模块。本技能帮助OPC导师为客户提供从金矿到终端的黄金供应链合规咨询，识别风险并设计安全交易结构。适用于老挝/东南亚金矿采购、香港实物黄金交割、SBLC回国等跨境黄金交易场景。
跨境黄金交易全流程咨询技能，覆盖合规分析、供货方尽调、交易流程、分账税务、账本管理、风险识别、银行验证、交易审核八大模块。本技能帮助OPC导师为客户提供从金矿到终端的黄金供应链合规咨询，识别风险并设计安全交易结构。适用于老挝/东南亚金矿采购、香港实物黄金交割、SBLC回国等跨境黄金交易场景。
As a process F 29/100 · Will not run — weak spots: steps, result and completion, when it triggers
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 · 0
✓ No critical or high findings
Files scanned: 11. 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 ≈ 7789 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "skills"
Process rating: all ten parameters 29/100
- 0Steps. Prose only: no discrete steps
- 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. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (胡田-OPC导师-黄金交易) differs from the folder (opc-gold-trading)
- 70Execution cost. Instruction body is 7789 tokens
- 100Tools and files. No external tools needed
- 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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- -231 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 146: enough signal without eating the budget
- +4Structure: 103 headings
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (6 of 8)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.