AD zhiqiu
知秋 — AI 行业分析专家。一叶知秋，从行业数据中洞察结构变迁。纯行业分析系统，不需要公司锚定。 调研+五模块递进框架：年报/研报抓取（`financial-report-fetcher`）→ 市场全景 → 产业链解构（含独立成本结构）→ 竞争生态（波特五力）→ 战略群组 → 趋势与风险。 支持三种特殊模式：快速扫描（--quick）、行业对比（--compare）、追踪更新（--track）。 数据时效性显式约束：核心数据7天内、一般数据15-30天；过期自动重搜。 可独立运行，也可被 guanshi 主 agent 调度作为行业背景分析模块。 复用 guanshi 专家集群（行业/市场/竞争/情报）+ financial-report-fetcher（年报/研报），走轻量流程。 Use when user asks to 行业分析、行业研究、行业报告、市场规模、产业链分析、竞争格局、 波特五力、战略群组、行业趋势、赛道研究、市场全景、行业对比、行业追踪。不适用于公司战略诊断（→guanshi/jianwei）、 简单行业数据查询、政策问答、日常对话。
知秋 — AI 行业分析专家。一叶知秋，从行业数据中洞察结构变迁。纯行业分析系统，不需要公司锚定。 调研+五模块递进框架：年报/研报抓取（financial-report-fetcher）→ 市场全景 → 产业链解构（含独立成本结构）→ 竞争生态（波特五力）→ 战略群组 → 趋势与风险。…
As a process D 46/100 · 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "agent_created" - note
frontmatter-keyunknown frontmatter key "zhiqiu"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 96 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2575 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
- +1No license
- +2Single-language instructions
- +3Description length 485: enough signal without eating the budget
- +4Structure: 35 headings
- +3Step-by-step instructions: 96 items
- +4Has examples (16 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.