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BF stockmaster-hunter-ib-report

摩根士丹利风格A股上市公司投行研究报告生成器。融合伍朝辉起涨点技术体系、九大专家视角（GCCEO/CFO/CXO/麦肯锡/摩根士丹利等），生成英中双语（American English + 中文）出版级投行研究报告，输出HTML和PDF两种格式。适用于：用户输入A股股票代码或公司名称要求深度分析、投行研究报告、投资价值分析、技术面+基本面综合研判、持仓分析报告等场景。

ClawHub Agent Skills author: WANG DONG JIE v1.0.0 MIT-0 7 files · 1 script body ≈ 1 504 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

摩根士丹利风格A股上市公司投行研究报告生成器。融合伍朝辉起涨点技术体系、九大专家视角（GCCEO/CFO/CXO/麦肯锡/摩根士丹利等），生成英中双语（American English +…

As a process F 33/100 · Will not run — References files that are not bundled: assets/report_template.html

ProcedureData and analyticsInfrastructuretype 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
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: assets/report_template.html
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: 7. 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: assets/report_template.html

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: assets/report_template.html
  • 0Tools and files. 1 referenced file(s) missing: assets/report_template.html
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 133 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1504 tokens

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 185: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 133 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
The skill mostly matches its report-generation purpose, but it can expose sensitive investment reports through public upload and gives directive trading guidance, so it should be reviewed before installation.
LLM: suspicious (high) · 25 Aug 2026