BF dtc-report
DTC 经营分析报告生成技能(AI 增强版)。支持生成月度/季度/年度经营分析报告,包含经营概览、预实对比、趋势分析、客户与销售、海外仓分析、AI 深度分析、关键发现等完整模块。自动从管报、业务数据、预算数据取数,生成专业 HTML 报告。v1.6.0 修复第三方仓地区分类(美国中西部单独列示)、单箱指标计算(过滤 4 月数据)、自提比例合计行计算。
As a process F 35/100 · Will not run — References files that are not bundled: references/report_template.md, assets/report_template.html
ProcedureData and analyticsInfrastructuretype 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: 17. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/report_template.md - warning
missing-refreference to a missing file: assets/report_template.html
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: references/report_template.md, assets/report_template.html
- 0Tools and files. 2 referenced file(s) missing: references/report_template.md, assets/report_template.html
- 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
- 100Steps. 127 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1469 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
- -229 emoji in the instructions: noise for the model
- -36 of 9 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 176: enough signal without eating the budget
- +4Structure: 54 headings
- +3Step-by-step instructions: 127 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.
External checks
ClawHub: suspicious
This appears to be a real DTC business report generator, but it handles sensitive financial/customer spreadsheets with weak scoping and generates reports that can be misleading or load remote JavaScript.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026