Nature Skills is a collection of reusable skills that help AI agents handle academic writing and scientific visualization. Researchers and AI-assisted scholars use it to turn research tasks into repeatable workflows and usable outputs. The catalogue entries are skills from this collection.
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 Yuan1z0825/nature-skills --skill nature-image2pptgit clone --depth 1 https://github.com/Yuan1z0825/nature-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/yuan1z0825/nature-skills/nature-image2ppt)<a href="https://agentmods.dev/skills/yuan1z0825/nature-skills/nature-image2ppt"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/nature-image2ppt/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/yuan1z0825/nature-skills/nature-image2ppt"><img src="https://agentmods.dev/badge/skills/yuan1z0825/nature-skills/nature-image2ppt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
- 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 | $0.00119 | $0.02332 |
| Opus 5 | $0.00060 | $0.01166 |
| Sonnet 5 | $0.00024 | $0.00466 |
| Haiku 4.5 | $0.00012 | $0.00233 |
Grade A, and why
nature-image2ppt 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 13d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nature Image2PPT
Use this directory as the complete runtime. Run deterministic actions only through:
python <image2ppt-root>/cli/image2ppt/cli.py <command> ...
Use Python 3.10 or later with requirements.txt installed. When a dedicated
environment exists, substitute <image2ppt-root>/.venv/bin/python on macOS/Linux
or <image2ppt-root>/.venv/Scripts/python.exe on Windows for every python
command below. Do not continue after a failed doctor; install only the reported
missing dependency, then rerun it.
Do not discover or invoke another Skill, CLI, Prompt, Schema, module, or state machine.
Read the local contracts progressively
Always read references/workflow.md. Read references/runtime-dependencies.md
only for setup or doctor failures, and read
references/ocr-text-hints-contract.md only when choosing or troubleshooting OCR.
Before writing a page manifest, read references/page-decision-tree.md and
references/manifest-schema.md. Add only the references needed by that page:
- structured or compound page:
references/region-decomposition.mdandreferences/object-routing.md; - arrows:
references/manifest-arrow-extension.md; - raster assets or image-backend work:
references/assets-provenance-contract.md.
Before accepting or delivering output, read references/qa-contract.md.
Preserve the single source of truth
- Treat
page_jobs.jsonas the only page-state source. - Treat each
pages/page_NNN/manifest.jsonas the only page-content source. - Treat
deck_manifest.jsonas the final-assembly source. - Use only
prepare,run next/dispatch/record/reset/hints/finalize, and the page commands in the local CLI for stateful lifecycle operations. - Keep semantic-region evidence in
manifest.json.image2ppt_region_decomposition. - Never create a second job file, reconstruction plan, OCR normalizer, page controller, packager, or finalize path.
- Let supplemental QA report failures; never let it mutate lifecycle state.
What ships with it
60 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.
- .gitignore 573 B
- agents/openai.yaml 272 B
- cli/image2ppt/__init__.py 22 B runs code
- cli/image2ppt/cli.py 698 B runs code
- cli/image2ppt/runtime/__init__.py 69 B runs code
- cli/image2ppt/runtime/_input_normalization.py 15 KB runs code
- cli/image2ppt/runtime/_page_artifacts.py 4.5 KB runs code
- cli/image2ppt/runtime/build_pptx_from_manifest.py 54 KB runs code
- cli/image2ppt/runtime/configure_image_backend.py 5.8 KB runs code
- cli/image2ppt/runtime/deck_run_state.py 5.6 KB runs code
- cli/image2ppt/runtime/deck_text_hints.py 6.7 KB runs code
- cli/image2ppt/runtime/finalize_deck_run.py 3.0 KB runs code
- cli/image2ppt/runtime/formula_renderer.py 8.7 KB runs code
- cli/image2ppt/runtime/image_gen.py 37 KB runs code
- cli/image2ppt/runtime/main.py 40 KB runs code
- cli/image2ppt/runtime/make_page_contact_sheet.py 1.1 KB runs code
- cli/image2ppt/runtime/paddle_text_hints.py 9.8 KB runs code
- cli/image2ppt/runtime/page_job_status.py 2.1 KB runs code
- cli/image2ppt/runtime/page_text_metrics.py 12 KB runs code
- cli/image2ppt/runtime/prepare_deck_run.py 7.0 KB runs code
- cli/image2ppt/runtime/process_asset_sheet.py 6.0 KB runs code
- cli/image2ppt/runtime/record_imagegen_result.py 5.9 KB runs code
- cli/image2ppt/runtime/record_page_dispatch.py 2.8 KB runs code
- cli/image2ppt/runtime/record_page_result.py 4.5 KB runs code
- cli/image2ppt/runtime/remove_chroma_key.py 14 KB runs code
- cli/image2ppt/runtime/reset_page_job.py 2.6 KB runs code
- cli/image2ppt/runtime/runtime_env.py 19 KB runs code
- cli/image2ppt/runtime/split_alpha_components.py 9.2 KB runs code
- cli/image2ppt/runtime/text_hints.py 14 KB runs code
- cli/image2ppt/runtime/validate_pptx.py 39 KB runs code
- cli/pyproject.toml 547 B
- config.example.yaml 1.0 KB
- LICENSE 1.1 KB
- manifest.yaml 480 B
- prompts/page-worker-base.md 7.4 KB
- prompts/page-worker.md 5.1 KB
- README_EN.md 4.3 KB
- README.md 4.0 KB
- references/assets-provenance-contract.md 2.9 KB
- references/cli-helper.md 18 KB
- references/manifest-arrow-extension.md 2.5 KB
- references/manifest-schema.md 20 KB
- references/object-routing.md 3.4 KB
- references/ocr-text-hints-contract.md 3.0 KB
- references/page-decision-tree.md 22 KB
- references/qa-contract.md 5.4 KB
- references/region-decomposition.md 6.5 KB
- references/runtime-dependencies.md 2.5 KB
- references/workflow.md 6.7 KB
- requirements.txt 158 B
- schemas/page-manifest-v2.schema.json 2.9 KB
- scripts/build_page_worker_prompt.py 4.1 KB runs code
- scripts/inspect_arrow_atomicity.py 7.3 KB runs code
- scripts/inspect_region_decomposition.py 18 KB runs code
- scripts/postprocess_manifest_arrows.py 18 KB runs code
- scripts/render_image2ppt_qa.py 11 KB runs code
- scripts/run_final_image2ppt_qa.py 9.0 KB runs code
- scripts/run_image2ppt_qa.py 9.3 KB runs code
- scripts/runtime_paths.py 4.0 KB runs code
- scripts/visual_review_evidence.py 5.4 KB runs code
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.
- 13d ago First seen · 211 lines · 119 tokens per session scan A 27eb02056403
nature-image2ppt is a skill published in the GitHub repository Yuan1z0825/nature-skills (40,913 stars, last pushed 2d ago), licensed Apache-2.0. It adds 119 tokens to every session and 2,332 once invoked, about $0.0006 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 2026-08-30.
Other skills, from other repositories
baoyu-youtube-transcript
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baoyu-url-to-markdown
Fetch any URL and convert to markdown using baoyu-fetch CLI (Chrome CDP with site-specific adapters). Built-in adapters for X/Twitter, YouTube transcripts, Hacker News threads, and generic pages via Defuddle. Handles login/CAPTCHA via interaction wait modes. Use when user wants to save a webpage as markdown.
cash-flow-snapshot
Create a 30/60/90-day cash-flow forecast from AR, AP, opening cash, payment timing, and fixed-cost data. Use when asked about runway, payroll coverage, liquidity risks, or a near-term cash crunch.
agent-wiki
Incremental LLM-friendly wiki generator for Obsidian note vaults. Use when: (1) Building wiki from notes, (2) Ingesting notes to wiki, (3) Obsidian LLM wiki, (4) Incremental knowledge base management. Triggers: 'build wiki from notes', 'ingest notes to wiki', 'Obsidian LLM wiki', 'incremental knowledge base'.
download-fulltext-pdf
A skill for downloading a research paper's complete PDF using an identifier such as a DOI, title, or BibTeX entry.
content-portability
Use when the user says 'export my site', 'backup my pages before editing', 'download my content locally', or 'migrate content to my other site'. Exports pages, posts, and custom posts to portable local packages with builder data, media, and markdown, then imports elsewhere with ID remapping.