BF fxbaogao-deep-research
围绕行业、公司或主题做深度研究。采用"先想后搜"方法：先明确研究边界，用 MECE 原则拆解关键子问题，再基于发现报告接口定向搜索、筛选核心研报、精读后沉淀事实、对比推导，最终形成结构化结论。
围绕行业、公司或主题做深度研究。采用"先想后搜"方法：先明确研究边界，用 MECE 原则拆解关键子问题，再基于发现报告接口定向搜索、筛选核心研报、精读后沉淀事实、对比推导，最终形成结构化结论。
As a process F 35/100 · Will not run — References files that are not bundled: assets/workspace_templates/
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 9. 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")
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: assets/workspace_templates/
- 0Tools and files. 1 referenced file(s) missing: assets/workspace_templates/
- 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. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 425 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)
- +3Description length 96: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 9 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This skill is a disclosed research workflow that uses an fxbaogao API key to search, read, and organize reports into local Markdown workspaces.
LLM: benign (high) · VirusTotal: · 17 Jul 2026