Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Bwkyd/wps-skills --skill wps-ppt-speaker-notesgit clone --depth 1 https://github.com/Bwkyd/wps-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bwkyd/wps-skills/wps-ppt-speaker-notes)<a href="https://agentmods.dev/skills/bwkyd/wps-skills/wps-ppt-speaker-notes"><img src="https://agentmods.dev/badge/skills/bwkyd/wps-skills/wps-ppt-speaker-notes/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bwkyd/wps-skills/wps-ppt-speaker-notes"><img src="https://agentmods.dev/badge/skills/bwkyd/wps-skills/wps-ppt-speaker-notes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00102 | $0.01272 |
| Opus 5 | $0.00051 | $0.00636 |
| Sonnet 5 | $0.00020 | $0.00254 |
| Haiku 4.5 | $0.00010 | $0.00127 |
Grade A, and why
wps-ppt-speaker-notes scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PPT演讲备注生成器
PPT内容 → 逐页演讲稿 → 写入备注区 → 自信开讲。
PPT做好了,但不知道怎么讲?交给我。
When to Use
- PPT做好了需要准备演讲稿
- 需要给每页PPT写备注
- 演讲前需要理清讲解逻辑
- 用户说"帮我写演讲稿""这个PPT怎么讲"
When NOT to Use
- 制作PPT → 使用
wps-ppt-gen - PPT大纲 → 使用
wps-ppt-outline
演讲备注结构
每页备注包含:
┌─────────────────────────────┐
│ 【开场/过渡】 │
│ "接下来我们看一下..." │
│ │
│ 【核心要点】 │
│ · 要点1 — 展开说明 │
│ · 要点2 — 数据支撑 │
│ · 要点3 — 案例/故事 │
│ │
│ 【过渡到下一页】 │
│ "那么基于这个情况..." │
│ │
│ ⏱ 建议时长:1.5分钟 │
└─────────────────────────────┘
工作流程
Step 1: 读取PPT内容
from pptx import Presentation
from pptx.util import Inches, Pt
import os
def read_ppt_content(ppt_path):
"""读取PPT每页内容"""
prs = Presentation(ppt_path)
slides_content = []
for i, slide in enumerate(prs.slides, 1):
content = {'page': i, 'title': '', 'texts': [], 'has_chart': False,
'has_table': False, 'has_image': False}
for shape in slide.shapes:
if shape.has_text_frame:
for para in shape.text_frame.paragraphs:
text = para.text.strip()
if text:
if shape == slide.shapes.title:
content['title'] = text
else:
content['texts'].append(text)
if shape.has_chart:
content['has_chart'] = True
if shape.has_table:
content['has_table'] = True
if shape.shape_type == 13:
content['has_image'] = True
slides_content.append(content)
return slides_content
def write_speaker_notes(ppt_path, notes_list, output_path=None):
"""将演讲备注写入PPT"""
prs = Presentation(ppt_path)
for i, slide in enumerate(prs.slides):
if i < len(notes_list):
notes_slide = slide.notes_slide
notes_slide.notes_text_frame.text = notes_list[i]
if not output_path:
base, ext = os.path.splitext(ppt_path)
output_path = f'{base}_with_notes{ext}'
prs.save(output_path)
return os.path.abspath(output_path)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 161 lines · 102 tokens per session scan A 1bb940acf81a
wps-ppt-speaker-notes is a skill published in the GitHub repository Bwkyd/wps-skills (8 stars, last pushed 4mo ago), licensed MIT. It adds 102 tokens to every session and 1,272 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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