BF 报价单工作流
自动化生成报价单（Excel/Word/HTML/PDF），集成数据验证防止示例数据，支持 OKKI CRM
As a process F 31/100 · Will not run — References files that are not bundled: examples/QT-TEST-001-Final.pdf
ProcedureSales and CRMInfrastructureData and analyticstype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 40. 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
missing-refreference to a missing file: examples/QT-TEST-001-Final.pdf - note
frontmatter-keyunknown frontmatter key "slug"
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: examples/QT-TEST-001-Final.pdf
- 0Tools and files. 1 referenced file(s) missing: examples/QT-TEST-001-Final.pdf
- 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 (报价单工作流) differs from the folder (quotation-workflow)
- 100Steps. 53 steps
- 100Execution cost. Instruction body is 2146 tokens
- 100Running it twice. No mutating operations
- low 16 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (4 tags): a typed call is more reliable
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)
- +3Description length 54: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -276 emoji in the instructions: noise for the model
- -411 reference files, but SKILL.md never points to them: the model will not open them
- -34 of 10 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 31 headings
- +3Step-by-step instructions: 53 items
- +4Has examples (21 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 48.
External checks
ClawHub: suspicious
The skill mostly matches quotation generation, but it can automatically pass quotation data to an external OKKI sync workflow and gives some under-scoped handling guidance for sensitive customer documents.
LLM: suspicious (high) · VirusTotal: · 29 May 2026