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-decodergit 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-decoder)<a href="https://agentmods.dev/skills/binghanofuestc/open_agent_team/pptx-decoder"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/pptx-decoder/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-decoder"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/pptx-decoder.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 | $0.00000 | $0.00384 |
| Opus 5 | $0.00000 | $0.00192 |
| Sonnet 5 | $0.00000 | $0.00077 |
| Haiku 4.5 | $0.00000 | $0.00038 |
Grade A, and why
pptx-decoder 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.
What it actually says
PPTX Decoder
Use this skill when the team needs to parse an existing .pptx file as either:
1. a template whose style should be extracted, or
2. a material deck whose content should be summarized.
Tool
Use:
python .opencode/skills/pptx-decoder/scripts/decode_pptx.py --input template.pptx --output template_style.json --mode template
or from the repository:
python teams/ppt_writer_team/skills/pptx-decoder/scripts/decode_pptx.py --input template.pptx --output template_style.json --mode template
Modes
template:
Extract slide size, theme/design colors, font hierarchy, layouts, placeholder/content slots, backgrounds, shape styles, header/footer regions, image counts and reusable visual patterns.
material:
Extract titles, body text, notes, tables, media counts and slide-level summaries.
Output
The script writes JSON with:
file
mode
slide_width
slide_height
slides[]
style_summary
style_spec_suggestion
warnings[]
In template mode, style_spec_suggestion is a machine-generated starting point for deck_spec/style_spec.json. The template decoder or visual designer must review it before use, especially semantic color roles and any header/footer text examples.
Rules
Use template mode for template fidelity: inherit the template system and slots, not just broad style inspiration.
Do not reuse unrelated template content.
Preserve reusable design intent: dimensions, master/theme, backgrounds, colors, typography, spacing, page furniture, section-divider style, table/chart treatment and purpose-specific layout rhythm.
If python-pptx is missing, report dependency error and ask ppt_encoder_agent/team_lead_agent to install it.
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 · 59 lines · 0 tokens per session scan A 05da2445049b
pptx-decoder 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 384 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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