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 fabioc-aloha/Alex_Skill_Mall --skill md-to-gammagit clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_MallWrote 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/fabioc-aloha/alex_skill_mall/md-to-gamma)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/md-to-gamma"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/md-to-gamma/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/fabioc-aloha/alex_skill_mall/md-to-gamma"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/md-to-gamma.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 | $0.00015 | $0.00302 |
| Opus 5 | $0.00008 | $0.00151 |
| Sonnet 5 | $0.00003 | $0.00060 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
md-to-gamma 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 9d 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
md-to-gamma
Pre-process Markdown into a Gamma-import-ready version.
When to Use
- Authoring presentations in Markdown then importing to Gamma
- Converting blog posts or docs into slide decks
- Round-tripping content between writing tools and Gamma
What's Here
md-to-gamma.cjs — Node script (no external deps).
External Dependencies
node(≥ 16) — that's it
Usage
node md-to-gamma.cjs input.md
# Emits input-gamma.md alongside the source
What It Does
- Adjusts heading levels for Gamma's slide-per-heading model
- Strips frontmatter that Gamma doesn't read
- Converts Mermaid blocks to references Gamma can render
- Inserts slide-break markers where Gamma expects them
Workflow
- Author your deck as standard Markdown
- Run
md-to-gamma.cjs your-deck.md - In Gamma, Import → Markdown → upload
your-deck-gamma.md - Edit visually in Gamma if you want, or re-run the converter on edits
Notes
- Works offline — no API key, no network
- Companion to the
gamma-presentationskill if you want full presentation tooling
What ships with it
1 file 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.
- 9d ago First seen · 50 lines · 15 tokens per session scan A c537d2d1479e
md-to-gamma is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 302 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 2026-09-03.
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