BC canvasflow-专业杂志级PPT一键生成专家
30秒出杂志级PPT,仅需要输入主题或大纲,AI一键生成杂志级高端PPT!自动排版、配色、图表、动画,秒变专业演示神器,无需设计基础。PPT 的制作依靠审美,可很多初学者需要模板。特别将 10 年设计经验的设计师进行知识、审美蒸馏提炼后,给每个刚入手的兄弟姐妹提供一个快速美观、简便的 PPT Skill。生成单文件 HTML 横向翻页演示文档,WebGL 流体背景,5 套主题色预设。
As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 4
✓ No critical or high findings
Medium and low: 4
-
medium Dangerous commands
cmd-eval-dynamicscripts/generate_html.py:412Dynamic code execution from decoded/untrusted inputos.system(f'open "{output_file}"') -
medium Dangerous commands
cmd-eval-dynamicscripts/generate_ppt.py:140Dynamic code execution from decoded/untrusted inputos.system(f'open "{results["html"]}"') -
medium Dangerous commands
cmd-eval-dynamicscripts/generate_ppt.py:142Dynamic code execution from decoded/untrusted inputos.system(f'open "{results["pptx"]}"') -
medium Dangerous commands
cmd-eval-dynamicscripts/generate_pptx.py:395Dynamic code execution from decoded/untrusted inputos.system(f'open "{output_file}"')
Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 54/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (canvasflow-专业杂志级PPT一键生成专家) differs from the folder (canvasflow-ppt)
- 50Failures and branches. 0 branches, has a failure section
- 100Tools and files. No external tools needed
- 100Steps. 37 steps
- 100Execution cost. Instruction body is 1098 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
- -33 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 193: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.