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BF corp-innovation-brief

企业科创力评估与信贷分析简报生成技能。输入企业名称，自动检索全量专利、相关论文和公开网络数据，输出包含公司概况、主营业务、核心专利技术方向、专利组合分析、市场地位与战略合作、信贷评审关注点六大板块的结构化简报。面向银行信贷客户经理、审批人员和风险控制人员。

ClawHub Agent Skills author: yuanzhian-patsnap v1.0.0 MIT-0 4 files body ≈ 2 272 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

企业科创力评估与信贷分析简报生成技能。输入企业名称，自动检索全量专利、相关论文和公开网络数据，输出包含公司概况、主营业务、核心专利技术方向、专利组合分析、市场地位与战略合作、信贷评审关注点六大板块的结构化简报。面向银行信贷客户经理、审批人员和风险控制人员。

As a process F 33/100 · Will not run — References files that are not bundled: @skill_workspace/{filename}

ProcedureSoftware developmentData and analyticsAI and agentstype 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
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: @skill_workspace/{filename}
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: 4. 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: @skill_workspace/{filename}
  • note frontmatter-key unknown frontmatter key "copyright"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: @skill_workspace/{filename}
  • 0Tools and files. 1 referenced file(s) missing: @skill_workspace/{filename}
  • 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. 9 mutating operations with no state check
  • 100Steps. 41 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2272 tokens
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (10 tags): a typed call is more reliable

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
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 128: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This skill generates a company innovation and credit-analysis brief using patent, paper, and public web data, with a disclosed optional HTML export after user confirmation.
LLM: benign (high) · VirusTotal: · 13 Aug 2026