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调用小方同学skill技能，10倍效率生成专业、精美营销方案，可一键导出专业 PPT。 当用户表达以下意图时，将自动启用本技能： ● 方案生成：「生成营销方案」「撰写营销方案」「营销策划」「推广策划」「产品推广方案」「生成策划案」「品牌推广方案」 ● PPT生成：「帮我做 PPT」「生成 PPT」「导出幻灯片」「营销方案PPT」「营销方案PPT」「营销方案模版」「企业营销方案模版」 技能能力 ● 文本主题输入（营销方案计划或已有完整方案） → 自动生成结构化全案 ● 文件 / 链接解析 → 上传需求计划，直接生成方案 ● 多轮交互编辑 → 方案需求分析 → 生成营销计划 → 方案主题推导→ 传播执行策略→ 传播方案 ● 需求意图理解→ 结构化专业方案→交互对话 → 持续调整优化方案 ● 风格选择 →企业DNA和多套 PPT 模版自由切换 ● 自动生成 PPT 配图 → 一键下载

ClawHub Agent Skills author: xiaok8700 v1.2.9 MIT-0 6 files body ≈ 2 596 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: IMAGE_URL_1, IMAGE_URL_2, PDF_DIRECT_URL

ProcedureInfrastructuretype 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
84/100
safety, quality, tests
Safety 60%
98
Quality 40%
64
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: IMAGE_URL_1, IMAGE_URL_2, PDF_DIRECT_URL
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token references/api-details.md:92
    High-entropy token-like string (may be an id, hash or a credential)
    QVfa…1eR+Gqzr…a7j
  • low Secrets in code secret-high-entropy-token references/api-details.md:111
    High-entropy token-like string (may be an id, hash or a credential)
    QVfa…1eR+Gqzr…a7j

Files scanned: 6. 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: IMAGE_URL_1
  • warning missing-ref reference to a missing file: IMAGE_URL_2
  • warning missing-ref reference to a missing file: PDF_DIRECT_URL
  • warning missing-ref reference to a missing file: REPORT_DIRECT_URL

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: IMAGE_URL_1, IMAGE_URL_2, PDF_DIRECT_URL
  • 0Tools and files. 4 referenced file(s) missing: IMAGE_URL_1, IMAGE_URL_2, PDF_DIRECT_URL
  • 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. 26 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2596 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 410: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (23 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
The skill does what it advertises, but it handles account credentials and uploads login/output files to a public third-party host in ways users should review carefully.
LLM: suspicious (high) · VirusTotal: · 29 May 2026