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BF pptx-master

专业级 AI 驱动 SVG 内容生成系统。支持 PDF/DOCX/URL/Markdown 转换为原生可编辑的 PPTX。 多角色协作流程，输出高质量演示文稿，适合财报分析、技术汇报、商业演示等专业场景。 版本 v1.2.3，新增 XML 实体自动转义（修复孤立 & 符号导致解析失败），支持 HUAWEI、red grey 等新模板。

ClawHub Agent Skills author: vincentlau2046-sudo v1.2.3 MIT-0 80 files body ≈ 3 975 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 47/100 · Will not run — References files that are not bundled: templates/design_spec_reference.md

ProcedurePowerPointWordInfrastructuretype 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
80/100
safety, quality, tests
Safety 60%
90
Quality 40%
64
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: templates/design_spec_reference.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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
  • medium Exfiltration net-redirectable-api-key scripts/image_backends/backend_gemini.py:185
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-redirectable-api-key scripts/image_backends/backend_openai.py:173
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment

Files scanned: 80. 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: templates/design_spec_reference.md
  • note frontmatter-key unknown frontmatter key "read_when"

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: templates/design_spec_reference.md
  • 0Tools and files. 1 referenced file(s) missing: templates/design_spec_reference.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Failures and branches. 8 branches
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3975 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (6 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
  • -232 emoji in the instructions: noise for the model
  • -313 of 22 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 168: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (13 code blocks)
  • +4Reference files are cited in the instructions (10 of 11)

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

External checks

ClawHub: suspicious
The skill mostly matches a PPT generation workflow, but it bundles several high-risk side tools such as watermark removal, self-updating, broad URL fetching, and flexible credentialed image-provider access.
LLM: suspicious (high) · VirusTotal: · 29 May 2026