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.
git clone --depth 1 https://github.com/jessepike/diagram-forgeWrote 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/jessepike/diagram-forge/usage)<a href="https://agentmods.dev/commands/jessepike/diagram-forge/usage"><img src="https://agentmods.dev/badge/commands/jessepike/diagram-forge/usage/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/commands/jessepike/diagram-forge/usage"><img src="https://agentmods.dev/badge/commands/jessepike/diagram-forge/usage.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 | $0.00009 | $0.00277 |
| Opus 5.5 | $0.00004 | $0.00111 |
| Sonnet 5.5 | $0.00002 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
usage 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 1mo 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
Usage Report
Call the get_usage_report MCP tool to retrieve usage statistics.
Steps
-
Call
get_usage_reportwith the specified days (default 30) and group_by (default "provider"). -
Format the results as a clear table showing:
- Total generations (successful / failed)
- Total cost in USD
- Breakdown by group (provider, diagram type, or day)
- Average generation time
-
If there are no generations, suggest the user try
/diagram:createto get started.
Display Format
Use a markdown table for the breakdown. Example:
| Provider | Generations | Success Rate | Cost (USD) | Avg Time |
|---|---|---|---|---|
| gemini | 15 | 93% | $0.585 | 3.2s |
| openai | 5 | 100% | $0.080 | 5.1s |
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.
- 1mo ago First seen · 37 lines · 9 tokens per session scan A f1a15767d900
usage is a command published in the GitHub repository jessepike/diagram-forge (2 stars, last pushed 2mo ago), licensed MIT. It adds 9 tokens to every session and 277 once invoked, about $0.0000 per session on Opus 5.5. 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
setup
Configure MeiGen MCP credentials privately, or set up an OpenAI-compatible provider for ordinary image generation. Use for /meigen:setup, "configure meigen", "add API key", or connection setup requests.
models
List available AI models and switch the default model for this session. Use when user runs /meigen:models to see or change models.
models
List available AI models and switch the default model for this session. Use when user runs /meigen:models to see or change models.
ref
Upload a local image as reference for generation. Returns a public URL.
gen
Prepare a LemGen image generation.
setup
Configure LemGen API token.