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 Zaoqu-Liu/ScienceClaw --skill export-pptxgit clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClawWrote 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/zaoqu-liu/scienceclaw/export-pptx)<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/export-pptx"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/export-pptx/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/zaoqu-liu/scienceclaw/export-pptx"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/export-pptx.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 | $0.00076 | $0.00718 |
| Opus 5 | $0.00038 | $0.00359 |
| Sonnet 5 | $0.00015 | $0.00144 |
| Haiku 4.5 | $0.00008 | $0.00072 |
Grade A, and why
export-pptx 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Export Project to Presentation (.pptx)
Auto-generate a presentation from a ScienceClaw project's reports and figures. Uses the pptx-generation skill's code templates and themes.
When to Use
- User says "/export pptx", "导出 PPT", "做个汇报", "生成 PPT"
- User completed a research analysis and wants slides for group meeting or conference
- User wants to present findings to collaborators
Workflow
- Identify the project directory from ACTIVE_PROJECT.md or most recent project
- Read the main report from
reports/— extract key findings, section headers, conclusions - Collect figures from
figures/— each significant figure gets its own slide - Read METHODS.md if present — create a methods slide
- Generate .pptx using the pptx-generation skill's helper functions
- Save to
reports/<project_name>_presentation.pptx
Slide Structure (auto-generated)
| Slide | Content |
|---|---|
| 1 | Title slide (project name, date, "ScienceClaw Analysis") |
| 2 | Background / Research Question (from report intro) |
| 3-N | Key Findings (one per slide, with figure if available) |
| N+1 | Methods Summary (from METHODS.md) |
| N+2 | Conclusions (from report summary/conclusion section) |
| N+3 | References (top 10 cited papers) |
Key Extraction Logic
From the report markdown, extract:
- Title: First
#heading - Background: First section text (before second
##) - Key findings: Lines containing statistical results (p-values, HR, AUC, fold change, correlation coefficients)
- Conclusions: Section titled "Summary", "Conclusion", "总结", or "结论"
- References: Lines matching
[N] Author...or numbered reference patterns
Theme
Use the NPG theme from pptx-generation skill by default:
- Primary:
(0x3C, 0x54, 0x88)— dark blue - Accent:
(0xE6, 0x4B, 0x35)— red - Light background:
(0xEE, 0xF0, 0xF5)
Execution
Combine ALL steps into a single bash call:
pip install -q python-pptx Pillow 2>/dev/null && python3 << 'PPTXEOF'
# Use helpers from pptx-generation skill
# Read project directory
# Extract key findings from report
# Build slides
# Save to reports/
PPTXEOF
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 · 72 lines · 76 tokens per session scan A f7c993941d6a
export-pptx is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It adds 76 tokens to every session and 718 once invoked, about $0.0004 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 2026-09-03.
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