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 tuan3w/obsidian-vault-agent --skill slide-makergit clone --depth 1 https://github.com/tuan3w/obsidian-vault-agentWrote 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/tuan3w/obsidian-vault-agent/slide-maker)<a href="https://agentmods.dev/skills/tuan3w/obsidian-vault-agent/slide-maker"><img src="https://agentmods.dev/badge/skills/tuan3w/obsidian-vault-agent/slide-maker/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/tuan3w/obsidian-vault-agent/slide-maker"><img src="https://agentmods.dev/badge/skills/tuan3w/obsidian-vault-agent/slide-maker.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 | $0.00098 | $0.04247 |
| Opus 5 | $0.00049 | $0.02124 |
| Sonnet 5 | $0.00020 | $0.00849 |
| Haiku 4.5 | $0.00010 | $0.00425 |
Grade A, and why
slide-maker scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sL "IMAGE_URL" -o temp/slides/images/descriptive-name.png How it starts
The opening of the file, as written. The whole thing — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<Use_When>
- User asks to create slides or a presentation about a topic
- User provides sources (URLs, PDFs, repos, vault notes) and wants slides
- User wants to edit an existing HTML or pptx slide deck
- User uses /slides or /slide-maker </Use_When>
<Do_Not_Use_When>
- User wants a research note, not slides (use /research)
- User just wants to read/extract text from a pptx (use pptx skill directly) </Do_Not_Use_When>
Create workspace + output directories at the start of every session:
mkdir -p temp/slides/research temp/slides/images notes/slides
Final output always goes to notes/slides/<presentation-name>.html (or
.pptx). Images used by the presentation are copied to
notes/slides/images/. The temp/slides/ workspace is for intermediate files
only.
Stage 1: PARSE — Classify Inputs
Parse $ARGUMENTS and any user context. Classify each input:
| Input type | Detection | Strategy |
|---|---|---|
| URL | starts with http(s):// | WebFetch + download images |
| Git repo | github.com or git URL | clone to temp, read key files |
| .pdf extension | Read tool (for local) or download | |
| Vault note | (Type) Name or [[wikilink]] |
Read via MCP or Read tool |
| Existing slides (.html) | .html extension | Editing mode |
| Existing slides (.pptx) | .pptx extension | Delegate to pptx skill |
| Raw topic | none of the above | WebSearch + WebFetch |
Auto-detect research depth:
- Quick mode: 1-2 simple sources or a short topic → inline research, no subagents
- Thorough mode: 3+ sources, complex topic, or broad request → parallel research agents
Present what was detected:
Detected sources:
1. [URL] blog post — will fetch + extract
2. [URL] paper PDF — will download and read
3. "transformer architecture" — will web search
Mode: thorough (3 sources → parallel research)
Proceeding to research...
Don't wait for confirmation unless something is ambiguous.
What ships with it
4 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.
- 10d ago First seen · 449 lines · 98 tokens per session scan A d42473d0897b
slide-maker is a skill published in the GitHub repository tuan3w/obsidian-vault-agent (39 stars, last pushed 5mo ago), licensed MIT. It adds 98 tokens to every session and 4,247 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
canvas
Create, inspect, and update Obsidian JSON Canvas boards with text, file, link, group, and edge nodes. Use for canvas status, canvas lists, visual maps, zones, spatial layouts, adding vault notes or media to a .canvas file, and requests such as create canvas, add to canvas, or put this on the canvas.
repurpose-talk
Use when the user just gave a talk, panel, fireside chat, keynote, workshop, podcast, or webinar and wants content made from it — triggers like "I just gave a talk", "the panel is done", "just finished speaking", "turn my talk into LinkedIn posts", "repurpose this recording/transcript into posts, notes, or clips", or…
reality-show
Keep serialized build-in-public content continuous: read one canon file of season, arcs, beats and loops and say which narrative beat to advance next, so episodes chain into a series. Pairs with the episode adapter, which does the writing. Triggers: "/reality-show", "season state", "what arcs are open".
gpt-image
Use when asked to generate, create, make, render, draw, or mock up an image, photo, picture, hero image, illustration, icon, texture, sprite, or visual asset from Claude Code, and no usable OPENAIAPIKEY is set but Codex CLI is installed and signed in to ChatGPT (OAuth). Also triggered by /gpt-image. Routes image…
image-brand
Generate on-brand post visuals through Codex CLI's built-in image generation, using the agency's exact brand colors and the owner's face reference photos. Use whenever a post needs an image, carousel slides, or a visual revision, or when the owner says "generate the image", "make the visual", or gives image feedback.…
generate-me
Generate an image of "me", "my face", "make me", "put me in", "turn me into", or a photo of the skill owner while preserving their facial identity across photoreal, illustrated, cartoon, cinematic and stylized scenes.