BF deep-research-framework
This skill should be used when the user requests a structured, in-depth research on a specific topic, industry, technology, product, market, person, organization, or any domain-specific subject. Trigger phrases include: "深度调研", "帮我研究一下", "做一份调研报告", "分析一下XX行业/市场/技术", "写一份研究报告", "deep research", "research report", "调研", "研究报告", "行业报告", "竞品分析", "market research", "技术调研", "可行性分析", "尽职调查". This skill guides a rigorous, multi-source, evidence-balanced research process that: - Defines research audience and objectives before starting - Decomposes the topic into structured dimensions - Gathers evidence from multiple sources with credibility ratings - Includes counterevidence and conflicting viewpoints - Flags information gaps honestly instead of fabricating - Delivers a structured report plus a one-page summary card
As a process F 47/100 · Will not run — References files that are not bundled: references/dimension-templates.md, references/credibility-rubric.md, assets/report-template.md
How to improve
- The text references files that are not there: add them or drop the references.
- 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
- warning
missing-refreference to a missing file: references/dimension-templates.md - warning
missing-refreference to a missing file: references/credibility-rubric.md - warning
missing-refreference to a missing file: assets/report-template.md - warning
missing-refreference to a missing file: assets/summary-card-template.md
Process rating: all ten parameters 47/100
- 0Tools and files. 4 referenced file(s) missing: references/dimension-templates.md, references/credibility-rubric.md, assets/report-template.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (deep-research-framework) differs from the folder (chaoxiresearchskill)
- 65Failures and branches. 3 branches
- 100Steps. 58 steps
- 100When it triggers. States when to use and when not to
- 100Execution cost. Instruction body is 1737 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 818: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -222 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +4Structure: 23 headings
- +3Step-by-step instructions: 58 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.