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CD industry-research

深度行业与产业链透视 SOP。覆盖产业链上中下游全景、利润与议价权分配、行业周期与拐点、技术路线分歧、竞争格局矩阵及二级市场真实标的与 ETF 映射。当用户需要进行行业调研、行业分析、赛道梳理、产业链透视、竞争格局对比或行业深度研究时触发（触发词包含：行业调研, 行业分析, 深度研究, 赛道, 产业链, 产业透视, industry research, competitive analysis, market landscape）。

ClawHub Agent Skills author: fize v1.1.0 MIT-0 1 file body ≈ 720 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

深度行业与产业链透视 SOP。覆盖产业链上中下游全景、利润与议价权分配、行业周期与拐点、技术路线分歧、竞争格局矩阵及二级市场真实标的与 ETF 映射。当用户需要进行行业调研、行业分析、赛道梳理、产业链透视、竞争格局对比或行业深度研究时触发（触发词包含：行业调研, 行业分析, 深度研究, 赛道, 产业链, 产业透视…

As a process D 35/100 · Unfinished process — References files that are not bundled: ../market/SKILL.md

AnalyzerData and analyticsWriting and documentsFinancetype 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
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: ../market/SKILL.md
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. 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: 1. 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: ../market/SKILL.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: ../market/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../market/SKILL.md
  • 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. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 720 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 218: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This skill is a disclosed industry research workflow with no hidden code, persistence, credential handling, or destructive behavior.
LLM: benign (high) · VirusTotal: · 17 Sept 2026