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BD slide-writer

把想法、大纲、文档或草稿变成结构清晰、设计精良的企业级 HTML 演示文稿。

ClawHub Agent Skills author: zhouzhouzhou v1.0.2 MIT-0 2 files body ≈ 1 091 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

把想法、大纲、文档或草稿变成结构清晰、设计精良的企业级 HTML 演示文稿。

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorSoftware developmentAI 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
81/100
safety, quality, tests
Safety 60%
99
Quality 40%
53
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
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.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token SKILL.md:8
    High-entropy token-like string (may be an id, hash or a credential)
    2. 把历史里干活需要的事实、约束，以及当前问题里“这个 / 那个 / 它”等指代解析出的具体内容，整理成一段上下文文本（可为空）—— 只放干活真正用得上、且最新有效的信息：某项信息被更新 / 修订 / 作废过的，只取最新确认的那一版、旧版别带；没被改动过的照常保留；跟当前任务无关的闲聊 / 寒暄不放。是不是首次调用，以【本轮对话】为准：这轮对话里此前从没调用过【本能力】，就是首次（历史命令里出现

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-short description under 40 chars: too little signal for triggering
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 40Consistency. Frontmatter name (slide-writer) differs from the folder (slide-writer-alipay-pay)
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 100Steps. 8 steps
  • 100Execution cost. Instruction body is 1091 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • 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)
  • +3Description length 38: 120–800 characters recommended
  • +4Structure: 0 headings, hard to scan
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Step-by-step instructions: 8 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.

External checks

ClawHub: suspicious
This presentation skill sends prompts and selected chat history to external Alipay endpoints and stores local session logs without clearly disclosing that to the user.
LLM: suspicious (high) · 18 Jul 2026