AD management-dashboard
管理驾驶舱技能：基于录音 AI 总结内容，生成管理者日报 HTML 报表。 通过分页接口获取录音的 ai_summary_content，使用 LLM 分析生成包含团队资产、外勤效能、 合规监控、RM 排行、线索转化、管理建议六大板块的可视化报表。 MUST resolve agentId via session_status (sessionKey=current) before APIs. MUST run main.py as the only entry point; empty contents still generates HTML report. Use for 系统驾驶舱、管理驾驶舱、日报生成、管理者报表、团队分析。
管理驾驶舱技能：基于录音 AI 总结内容，生成管理者日报 HTML 报表。 通过分页接口获取录音的 aisummarycontent，使用 LLM 分析生成包含团队资产、外勤效能、 合规监控、RM 排行、线索转化、管理建议六大板块的可视化报表。 MUST resolve agentId via…
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 41/100
- 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 (management-dashboard) differs from the folder (management-dashboard-skill)
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 48 steps
- 100Execution cost. Instruction body is 3428 tokens
- 100Running it twice. No mutating operations
- 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
- +1No license
- +2Single-language instructions
- +3Description length 321: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 48 items
- +4Has examples (15 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.