SKILLEMALL.ai
GitHub ↗ RU Sign in

BF 深知可信PPT

当用户要求制作 PPT、演示文稿、汇报 PPT、工作总结汇报、课件、宣讲材料、把材料转成 PPT、做幻灯片，或要求可编辑原生 PPT、多版式（16:9/4:3/小红书/朋友圈/竖版/A4）输出时，使用深知可信PPT。生成侧采用约束 SVG → 原生 DrawingML 编译路线：主 Agent 逐页手写约束 SVG，确定性编译器导出真实可编辑的 PowerPoint（原生形状/文本/图表/表格，非整页图片）；内容侧完全使用深知可信智能 API：通过深知可信搜索检索权威政策、数据与案例素材，全程可溯源。内置党政简洁、数据图表、商务汇报、庄重典雅、培训课件等风格预设，默认交付 .pptx 与可信溯源核验报告。

ClawHub Agent Skills author: Dylan Zhang v1.1.0 MIT-0 80 files body ≈ 1 513 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 28/100 · Will not run — References files that are not bundled: workflows/routing.md, workflows/generate-pptx.md, scripts/trusted_search.py

IntegrationPowerPointAI 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%
100
Quality 40%
53
Run on models
none yet
Process rating
F
28/100
Will not run
References files that are not bundled: workflows/routing.md, workflows/generate-pptx.md, scripts/trusted_search.py
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

The same skill appears in 1 more place: ClawHub

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: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: workflows/routing.md
  • warning missing-ref reference to a missing file: workflows/generate-pptx.md
  • warning missing-ref reference to a missing file: scripts/trusted_search.py
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "display_name_en"
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "permissions"
  • note frontmatter-key unknown frontmatter key "secrets"

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: workflows/routing.md, workflows/generate-pptx.md, scripts/trusted_search.py
  • 0Tools and files. 3 referenced file(s) missing: workflows/routing.md, workflows/generate-pptx.md, scripts/trusted_search.py
  • 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. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (深知可信PPT) differs from the folder (dknowc-ppt-assistant)
  • 100Steps. 31 steps
  • 100Execution cost. Instruction body is 1513 tokens

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
  • -321 of 24 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 306: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

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

External checks

ClawHub: suspicious
The PPT-generation purpose is coherent, but the skill’s phone-based onboarding can create or retrieve long-lived API keys and is not plainly disclosed to users at runtime.
LLM: suspicious (high) · 2 Sept 2026