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 agentmods add commands/isatimur/presentation-md/slidesgit clone --depth 1 https://github.com/isatimur/presentation-mdWrote 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/commands/isatimur/presentation-md/slides)<a href="https://agentmods.dev/commands/isatimur/presentation-md/slides"><img src="https://agentmods.dev/badge/commands/isatimur/presentation-md/slides.svg" alt="Measured on agentmods" 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 | $0.00022 | $0.00350 |
| Opus 5 | $0.00011 | $0.00175 |
| Sonnet 5 | $0.00004 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
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 3d 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
You are running presentation-md — schema-crafted decks that beat prompt-only slide packs.
User brief / notes: $ARGUMENTS
Mandatory flow (one-shot bar)
- Discover themes visually — call MCP
list_themes(shortlists / mood) thenpreview_themeswith 2–3 candidates. Pick-3 auto-defaults to multi-slidelayoutscraft bake — do not ask the user to pick from bare names. - Lock theme + density (speaker-led vs reading-first) once.
- Prefer
generate_deck_promptthen emit Deck JSON that already clears anti-slop + craft gates — no vibe draft. - Lead with title → feature-grid/bento or comparison early; match stunning-25 craft when the brief fits.
- Prefer schema layouts. At most one intentional
custom-htmlart beat fromcustom-html-recipes(split / big-number / stamps / type explosion) — never stickers for theme atmosphere. - Call
audit_deckand fix issues before showing the user. Escalate withjudge_deck(t1→t2) when stakes are high. render_deckto HTML and offerexport_deckPPTX (native editable shapes).
If MCP tools are unavailable, author valid Deck JSON against the presentation-generator skill schema and tell the user to run npx @presentation-md/install claude-code (or enable this plugin's MCP) for the full toolchain.
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.
- 3d ago First seen · 22 lines · 22 tokens per session scan A dbdc5a77139e
slides is a command published in the GitHub repository isatimur/presentation-md (4 stars, last pushed 29d ago), licensed MIT. It adds 22 tokens to every session and 350 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
wiki-ingest
Ingest a source document (or folder) into the llmwiki.
import
Bulk-import CSV, JSON, or JSONL data into Gnosys memories. Also serves as the parent command for project bundle import.
ingest
Ingest a local file (PDF, DOCX, TXT, MD, etc.) into Gnosys memory. Extracts text, splits into chunks, and creates atomic memories.
handoff
Compact the current conversation into a handoff document for a fresh agent session.
prd-to-html
PRD.md를 사람이 읽기 좋은 단일 HTML 문서로 변환합니다.
book
把当前 session 蒸馏成长文档 / 技术书籍 (卷-章-节 嵌套大纲, 10 万字+). 适合 deep dive 类长对话.