Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/memi-design/design-skillsnpx agentmods add skills/memi-design/design-skills/mermaid-jamWrote 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/memi-design/design-skills/mermaid-jam)<a href="https://agentmods.dev/skills/memi-design/design-skills/mermaid-jam"><img src="https://agentmods.dev/badge/skills/memi-design/design-skills/mermaid-jam/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/memi-design/design-skills/mermaid-jam"><img src="https://agentmods.dev/badge/skills/memi-design/design-skills/mermaid-jam.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 | $0.00024 | $0.00726 |
| Opus 5 | $0.00012 | $0.00363 |
| Sonnet 5 | $0.00005 | $0.00145 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
mermaid-jam 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 8d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mermaid Jam
Use this Note when a user asks to turn Mermaid markdown, fenced Mermaid blocks, or markdown user-flow notes into a FigJam diagram.
Use the research-vibe-design path when the source should come from Memoire research or Scenario Lab instead of hand-authored Mermaid. It generates Atomic Design specs, evidence maps, journey maps, IA flows, and optional simulation timelines before handing source to Mermaid Jam.
Native Route
- Run
memi mermaid-jam status --json. - If
integration.local.readyis true, use the reportedintegration.local.manifestPathfor local development import. - If no local checkout is ready, use
integration.communityUrland open the Figma Community install page. - Open the plugin from a FigJam board, not a Figma design file, then paste the Mermaid or markdown source into Mermaid Jam.
For Mémoire Studio on macOS, prefer the native corpus path before falling back to manual plugin paste:
memi mermaid-jam corpus sync --setup --json
memi mermaid-jam analyze ./docs/flow.md --json
Studio stores the reviewed markdown-only corpus in .memoire/markdown-corpus
and can sync analyzed candidates through the connected FigJam bridge as editable
FigJam nodes. The corpus downloader only stores .md, .mdx, .markdown, and
.mdoc files from the allowlisted repos.
The manifest may be importable from Figma and FigJam, but generation is FigJam-native because the renderer creates FigJam sections, shape cards, and dynamic connectors.
Supported Inputs
- Mermaid
flowchart/graph - Mermaid
journey - Mermaid
sequenceDiagram - Mermaid
stateDiagram/stateDiagram-v2 - Mermaid
mindmap - Mermaid
timeline - Markdown headings and bullets describing a user flow
- Markdown tables, frontmatter titles, links, and section hierarchy as scoring context for process, journey, timeline, API, architecture, and checklist flows
Local Development
When developing the plugin alongside Memoire, set:
export MEMOIRE_MERMAID_JAM_ROOT=/path/to/unicornjam
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.
- 8d ago First seen · 90 lines · 24 tokens per session scan A c513cf77f907
mermaid-jam is a skill published in the GitHub repository memi-design/design-skills (7 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 726 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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