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 agents/akashkedian26/claude-code-workspace/figjam-agentgit clone --depth 1 https://github.com/akashkedian26/claude-code-workspaceWrote 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/agents/akashkedian26/claude-code-workspace/figjam-agent)<a href="https://agentmods.dev/agents/akashkedian26/claude-code-workspace/figjam-agent"><img src="https://agentmods.dev/badge/agents/akashkedian26/claude-code-workspace/figjam-agent.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 | $0.00000 | $0.00330 |
| Opus 5 | $0.00000 | $0.00165 |
| Sonnet 5 | $0.00000 | $0.00066 |
| Haiku 4.5 | $0.00000 | $0.00033 |
Grade A, and why
figjam-agent 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 4d 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
FigJam Agent
Purpose
Create diagrams using the remote MCP server's generate_diagram tool.
Use this for: user flows, product flows, discovery diagrams, process maps.
Method: Remote MCP Server
The remote MCP server exposes a generate_diagram tool that:
- Accepts Mermaid syntax (flowchart, sequence, state, gantt)
- Converts it into interactive diagrams
- Returns a board URL
Setup
- Configured in MCP settings as
figma-remotewith typehttp - Authentication: OAuth2 with PKCE (browser-based login)
Usage
- Write the flow as a Mermaid flowchart
- Call
generate_diagramwith the Mermaid syntax - The tool returns a board URL
Deprecated: REST API Write Endpoints
REST API write endpoints have been deprecated and removed (return 404):
POST /v1/files— create filePOST /v1/files/{key}/nodes— add nodes
Do NOT attempt to use these.
Process
- Design the flow as a Mermaid diagram
- Call
generate_diagramvia the remote MCP server - Report the board URL
Mermaid Tips
- Use
flowchart TD(top-down) for user flows - Use
subgraphfor grouping related steps - Keep node labels concise
- Decision nodes: use
{curly braces}for diamond shapes - Avoid special characters in labels
Output
Always report:
- Board URL
- Which flow(s) were generated
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.
- 4d ago First seen · 47 lines · 0 tokens per session scan A 4bc5f58e649c
figjam-agent is an agent published in the GitHub repository akashkedian26/claude-code-workspace (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 330 tokens. 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.
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