SKILLEMALL.ai

AD pptx-batch-fix

PPT/PPTX 批量格式化修复工具,涵盖两大核心能力:(1) 字号统一修复 — 全片扫描文字字号,低于阈值的统一调至16pt(可配置),自动启用换行防止溢出,修正超出版面边界的形状;(2) 页码批量删除 — 多格式页码检测与删除(X/Y、纯数字、幻灯片编号占位符),不误删章节标记。 触发场景:修改PPT字号/调整字体大小/确保不低于16号字;删除页码/去页码/去掉页数;批量PPT格式化/修复PPT排版。 触发词:字号修复、调整字号、不低于16号字、字体太小、删除页码、去页码、PPT批量处理、修复PPT。

ClawHub Agent Skills author: 刘文琦 v1.0.0 MIT-0 5 files body ≈ 611 tokens Open the sourceclawhub.ai analyzed 2 d ago

PPT/PPTX 批量格式化修复工具,涵盖两大核心能力:(1) 字号统一修复 — 全片扫描文字字号,低于阈值的统一调至16pt(可配置),自动启用换行防止溢出,修正超出版面边界的形状;(2) 页码批量删除 — 多格式页码检测与删除(X/Y、纯数字、幻灯片编号占位符),不误删章节标记。…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePowerPointSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 0

✓ No critical or high findings

Files scanned: 5. 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")

Process rating: all ten parameters 43/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 611 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 255: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (5 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill locally edits PowerPoint files to fix font sizes and remove page numbers, with no evidence of hidden network, credential, or persistence behavior.
LLM: benign (high) · VirusTotal: · 20 Jun 2026