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BC huo15-openclaw-office-doc

【青岛火一五信息科技有限公司】企业级 Word & PDF 文档生成 v7.9。39 类规范覆盖企业全场景：合同细分 7 类（劳动 / 服务 / 技术开发 / 销售 / 采购 / 保密NDA / 合作）+ HR / Sales / PR / PM / Ops / Tech / Legal / Reporting 各类文体。三条路径：Word 直出、原生 PDF 直出、Word→PDF。templates/ 下 22 份可拷贝改写的 markdown 范本。每种规范按真实场景决定是否带【内部】banner / 元数据表 / 版本史 / 审批 / TOC，CLI 可覆盖。触发词：写word、写文档、写PDF、写合同、写劳动合同、写服务合同、写技术开发合同、写销售合同、写采购合同、写NDA、写保密协议、写战略合作协议、写方案、写报告、写需求文档、写PRD、写BP、写用户手册、写培训手册、写招投标书、写演讲稿、写研究报告、写验收单、写立项书、写SOP、写公司制度、写公函、写简历、写CV、写报价单、写新闻稿、写复盘、写测试报告、写故障报告、写postmortem、写任命书、写应急预案、写在职证明、写风险评估、写项目计划书、写项目结项报告、写API文档、写部署文档、写runbook、写备忘录、写MOU、Word转PDF。

ClawHub Agent Skills author: Job Zhao v7.9.4 MIT-0 33 files · 1 script body ≈ 3 395 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationProcurementInfrastructureData and analyticstype 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%
98
Quality 40%
65
Run on models
none yet
Process rating
C
50/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration read-dotenv templates/部署文档.md:52
    Reads a .env file
    cp .env.example .env
  • low Dangerous commands cmd-background-process templates/部署文档.md:60
    Starts a background / autostarted process
    systemctl enable huo1…end

Files scanned: 33. 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")
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "aliases"
  • note frontmatter-key unknown frontmatter key "dependencies"

Process rating: all ten parameters 50/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 5 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3395 tokens
  • 100Progress reporting. Reports progress
  • low 15 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
  • -2229 emoji in the instructions: noise for the model
  • -31 of 6 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 563: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (8 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This is mostly a document generator, but it also includes under-disclosed credential, network, and persistent agent-configuration behavior that should be reviewed before installation.
LLM: suspicious (high) · 23 Aug 2026