BD 深知可信咨询
当用户咨询政策法规、政务办事、税务社保、公积金、企业补贴、资质证照、行业标准、公共服务、合规义务、企业经营政策、投资技改税惠、办事条件、材料清单、申请路径、风险判断，或要求权威依据、可信溯源、带角标答案、深知可信咨询时，使用深知可信咨询。该 Clawhub Public 版调用深知可信统一问答接口 credibleChat 获取答案和参考材料，输出带真实来源角标和来源清单的咨询答案，并默认生成本轮可交互可信核验报告 HTML（首屏核验报告单：依据溯源/引用绑定/时效检查/类型覆盖/答案自检）与移除角标的干净 Markdown。Clawhub Public 版不内置 API Key，统一通过环境变量 DKNOWC_API_KEY 注入。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 12. 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") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "display_name_en" - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en" - note
frontmatter-keyunknown frontmatter key "permissions" - note
frontmatter-keyunknown frontmatter key "secrets"
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 (深知可信咨询) differs from the folder (dknowc-trusted-consulting)
- 100Tools and files. No external tools needed
- 100Steps. 46 steps
- 100Execution cost. Instruction body is 2138 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
- -31 of 6 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 321: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 46 items
- +4Has examples (11 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.