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 BingHanOfUESTC/open_agent_team --skill pptx-encodergit clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_teamWrote 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/binghanofuestc/open_agent_team/pptx-encoder)<a href="https://agentmods.dev/skills/binghanofuestc/open_agent_team/pptx-encoder"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/pptx-encoder/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/binghanofuestc/open_agent_team/pptx-encoder"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/pptx-encoder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00770 |
| Opus 5 | $0.00000 | $0.00385 |
| Sonnet 5 | $0.00000 | $0.00154 |
| Haiku 4.5 | $0.00000 | $0.00077 |
Grade A, and why
pptx-encoder 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 7d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PPTX Encoder
Use this skill when the team must render deck_spec.json and style_spec.json into a real editable .pptx.
Tool
Use:
python .opencode/skills/pptx-encoder/scripts/render_deck.py \
--deck-spec deck_spec/deck_spec.json \
--style-spec deck_spec/style_spec.json \
--output delivery/final_deck.pptx \
--report encoding/encoding_report.md
or from the repository:
python teams/ppt_writer_team/skills/pptx-encoder/scripts/render_deck.py \
--deck-spec deck_spec/deck_spec.json \
--style-spec deck_spec/style_spec.json \
--output delivery/final_deck.pptx \
--report encoding/encoding_report.md
Supported Elements
text
bullets
callout
table
image_placeholder
image
video_link
chart_placeholder
divider
footer/source note
speaker notes
Style Spec Support
The renderer reads these optional fields from style_spec.json:
typography: title/subtitle/body/caption sizes and minimum readable sizes.
layout_tokens: margins, gutters, header height and footer height.
template_patterns: reusable header/footer behavior and deck-specific header/footer text.
theme_colors: background, text, primary, secondary, accent, muted and surface.
template_pptx: optional path to Boss-provided template. When present, renderer uses it as the base presentation where possible.
template_fidelity: preserve_background/preserve_master/header_footer flags.
The renderer dynamically reduces text size within configured minimums and distributes multiple elements across the available content area. If a slide still needs unreadably small text, revise deck_spec.json by splitting content across slides instead of forcing more text into one slide.
Image Elements
Use prepared local image assets:
{
"type": "image",
"image_path": "materials/images/processed/hero-product-1600x900.jpg",
"caption": "Optional short caption"
}
image_placeholder can also include image_path; if the file exists, the renderer inserts the image. If the path is missing, it renders a placeholder and records a warning.
What ships with it
2 files 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.
- 7d ago First seen · 117 lines · 0 tokens per session scan A ae659c10925e
pptx-encoder is a skill published in the GitHub repository BingHanOfUESTC/open_agent_team (106 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 770 tokens. 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 2026-09-03.
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