BF huo15-openclaw-ppt
基于 design tokens 的 PPT 生成技能。内置 21 套生产级审美方案(Apple 发布会 / Apple.com / Apple macOS 26 Liquid Glass 玻璃 / 原研哉极简 / 中国水墨 / 国风故宫 / 赛博朋克绚彩 / 梵高油画 / 达芬奇手稿 / 小红书时尚奶油胶片 / 莫兰迪高级灰 / 孟菲斯 80s / 包豪斯 / 韦斯安德森 / 科技霓虹 / Vercel/Linear 极简)+ 11 个语义化页面模板。自动 fit 防 CJK 溢出,玻璃风自带七彩光球+磨砂卡,水墨/国风自带朱砂方印+万字纹边框+飞白笔触,科技风自带渐变背景+网格+glow halo+四角刻度。单张 slide 即可当品牌海报。触发词:做PPT、生成PPT、PPT、Apple发布会、苹果玻璃风、liquid glass、原研哉、水墨、国风、赛博朋克、梵高、达芬奇、莫兰迪、孟菲斯、包豪斯、韦斯安德森、小红书时尚、复古胶片、Vercel风。
As a process F 38/100 · Will not run — References files that are not bundled: examples/previews/*.png, templates/helpers.py::_set_run_spacing, templates/helpers.py
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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".
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
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- 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
-
medium Exfiltration
net-redirectable-api-keyscripts/llm_provider.py:130Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
Files scanned: 51. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 5820 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: examples/previews/*.png - warning
missing-refreference to a missing file: templates/helpers.py::_set_run_spacing - warning
missing-refreference to a missing file: templates/helpers.py - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "aliases" - note
frontmatter-keyunknown frontmatter key "dependencies"
Process rating: all ten parameters 38/100
- 0Tools and files. 3 referenced file(s) missing: examples/previews/*.png, templates/helpers.py::_set_run_spacing, templates/helpers.py
- 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
- 70Execution cost. Instruction body is 5820 tokens
- 100Steps. 98 steps
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- low 16 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
- -35 of 29 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 433: enough signal without eating the budget
- +4Structure: 44 headings
- +3Step-by-step instructions: 98 items
- +4Has examples (12 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 44.