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 halflifezyf2680/Skill-Shelf --skill scientific-slidesgit clone --depth 1 https://github.com/halflifezyf2680/Skill-ShelfWrote 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/halflifezyf2680/skill-shelf/scientific-slides)<a href="https://agentmods.dev/skills/halflifezyf2680/skill-shelf/scientific-slides"><img src="https://agentmods.dev/badge/skills/halflifezyf2680/skill-shelf/scientific-slides/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/halflifezyf2680/skill-shelf/scientific-slides"><img src="https://agentmods.dev/badge/skills/halflifezyf2680/skill-shelf/scientific-slides.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 | $0.00065 | $0.04730 |
| Opus 5 | $0.00032 | $0.02365 |
| Sonnet 5 | $0.00013 | $0.00946 |
| Haiku 4.5 | $0.00006 | $0.00473 |
Grade A, and why
scientific-slides 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 6d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
24 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.
- assets/beamer_template_conference.tex 9.7 KB
- assets/beamer_template_defense.tex 26 KB
- assets/beamer_template_seminar.tex 23 KB
- assets/powerpoint_design_guide.md 19 KB
- assets/timing_guidelines.md 14 KB
- meta.json 807 B
- references/beamer_guide.md 19 KB
- references/common_pitfalls.md 3.3 KB
- references/data_visualization_slides.md 17 KB
- references/presentation_structure.md 22 KB
- references/presentation_workflow.md 7.0 KB
- references/prompt_writing.md 1.9 KB
- references/script_reference.md 4.3 KB
- references/slide_capabilities.md 12 KB
- references/slide_design_principles.md 23 KB
- references/talk_types_guide.md 20 KB
- references/visual_review_workflow.md 20 KB
- scripts/generate_schematic_ai.py 38 KB runs code
- scripts/generate_schematic.py 7.4 KB runs code
- scripts/generate_slide_image_ai.py 34 KB runs code
- scripts/generate_slide_image.py 7.6 KB runs code
- scripts/pdf_to_images.py 6.5 KB runs code
- scripts/slides_to_pdf.py 7.3 KB runs code
- scripts/validate_presentation.py 13 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.
- 6d ago Changed · -758 lines 26bccde020c8
- 8d ago First seen · 1,155 lines · 65 tokens per session scan A 2fbd757ad9ac
scientific-slides is a skill published in the GitHub repository halflifezyf2680/Skill-Shelf (4 stars, last pushed 6d ago), with no licence file. It adds 65 tokens to every session and 4,730 once invoked, about $0.0003 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.
Other skills, from other repositories
html-ppt-zhangzara-monochrome
A grant proposal on CRISPR base-editing for sickle-cell disease — the hypothesis, the approach, the milestones, and the risk. Built as a decision-grade academic research deck for grant review committee.
html-ppt-zhangzara-pin-and-paper
A field-biology capstone on urban pollinator decline — the survey design, the data, the contribution, and the caveats. Built as a decision-grade coursework defense deck for faculty reviewers.
paper-illustration
A workflow for generating academic illustrations, such as architecture diagrams and method visuals, with image generation and repeated review. Claude plans and checks the figure during the process.
paper-illustration-image2
Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation. This is a separate experimental alternative to paper-illustration, intended for Claude Code users who want a GPT-image-style renderer without modifying the original skill.
paper2video
Turn a research paper, a paper2assets package, or an existing PPT deck into a narrated MP4 video by fully delegating slide authoring to the installed ppt-master skill and fully delegating rendering, subtitles, timeline assembly, and strict media QA to the installed pptx2video skill and its public CLI. Resolves one…
figure-composer
Compose one publication-grade multi-panel figure. Start from a one-line claim plus immutable data Artifact Version references, or inspect an existing figure and draft its outline directly. Plan a 12-column panel outline, delegate one worker per panel, compose and inspect the result, then run at most three adversarial…