BF deep-search-m
专业深度研究与报告生成技能。支持企业竞争分析、产品竞争分析、行业分析、市场规模/竞争格局、AI大模型厂商、AI工具学习指南等领域。基于 Agent 内置 `web_search` + `web_fetch`(无需 API key),三阶段工作流(主题确认→框架生成→报告输出),运用PESTEL、SWOT、波特五力、商业模式画布等经典咨询研究模型,输出精美的深蓝色政务风格 HTML 与 Markdown 双格式咨询级报告。 English: A professional deep-research and report-generation skill for company/product/industry/market/AI-vendor topics. Uses the Agent built-in `web_search` + `web_fetch` (no API key) with a three-stage workflow (topic confirmation → framework generation → report output), applying consulting models like PESTEL, SWOT, Porter's Five Forces, and Business Model Canvas to produce polished Markdown + deep-blue HTML consulting reports.
As a process F 31/100 · Will not run — References files that are not bundled: references/domains/*.md, references/models/*.md, assets/templates/*.html
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.
- 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: 79. 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/domains/*.md - warning
missing-refreference to a missing file: references/models/*.md - warning
missing-refreference to a missing file: assets/templates/*.html - warning
missing-refreference to a missing file: references/models/strategic/*.md - warning
missing-refreference to a missing file: references/models/market/*.md - warning
missing-refreference to a missing file: references/models/competitive/*.md - warning
missing-refreference to a missing file: references/models/consumer/*.md - warning
missing-refreference to a missing file: references/models/financial/*.md
Process rating: all ten parameters 31/100
- 0Tools and files. 8 referenced file(s) missing: references/domains/*.md, references/models/*.md, assets/templates/*.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
- 40Consistency. Frontmatter name (deep-search-m) differs from the folder (deep-search-mpro)
- 100Steps. 103 steps
- 100Execution cost. Instruction body is 2104 tokens
- 100Running it twice. No mutating operations
- medium 3 test cases, all positive: not one "should refuse" or "should ask first"
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
- -33 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 645: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 103 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.