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BD research-orchestrator

深度研究工作流，支持多源搜索、事实验证、专业报告生成。Use when user needs comprehensive research, market analysis, competitive analysis, or professional research reports. Supports web search, multi-language output, and Markdown reports. 深度研究、市场分析、竞品分析、研究报告、行业分析。

ClawHub Agent Skills author: ToBeWin v2.0.1 MIT-0 11 files · 6 scripts body ≈ 2 061 tokens Open the sourceclawhub.ai↗ analyzed 10 d ago

深度研究工作流，支持多源搜索、事实验证、专业报告生成。Use when user needs comprehensive research, market analysis, competitive analysis, or professional research reports.

As a process D 35/100 · Unfinished process — References files that are not bundled: URL

AnalyzerData and analyticsWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: URL
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: URL

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: URL
  • 0Tools and files. 1 referenced file(s) missing: URL
  • 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. 66 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2061 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
  • -36 of 6 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 235: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 66 items
  • +4Has examples (22 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This research skill does not show clear malicious intent, but it overstates its capabilities and includes risky shell and unpinned npm execution paths that should be reviewed before installation.
LLM: suspicious (high) · VirusTotal: · 15 Sept 2026