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BF deep-research

深度多步网页研究。迭代搜索、页面抓取、综合分析，生成带引用的 Markdown 报告。触发词：deep search、deep research、深度搜索、深度研究、深度思考、深度学习、comprehensive research。

ClawHub Agent Skills author: yangsjt v0.1.0 MIT-0 5 files · 1 script body ≈ 1 334 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 52/100 · Will not run — References files that are not bundled: URL

AnalyzerData and analyticsWriting and documentsResearchtype 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
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: URL
Tools and files w 18
0
Inputs and preconditions w 11
0
Consistency w 8
40
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: URL

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: URL
  • 0Tools and files. 1 referenced file(s) missing: URL
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Consistency. Frontmatter name (deep-research) differs from the folder (deep-research-cli)
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 34 steps, 1 vague phrases
  • 100Failures and branches. 5 branches, has a failure section
  • 100Execution cost. Instruction body is 1334 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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 116: 120–800 characters recommended
  • -2localhost URLs: will not work for another user
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 34 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
This appears to be a real deep-research skill, but its standalone script grants broad automatic Gemini permissions and has under-scoped background execution behavior that needs review.
LLM: suspicious (high) · VirusTotal: · 29 May 2026