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/fannon/u-he-preset-randomizer/contextgit clone --depth 1 https://github.com/Fannon/u-he-preset-randomizerWrote 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/fannon/u-he-preset-randomizer/context)<a href="https://agentmods.dev/commands/fannon/u-he-preset-randomizer/context"><img src="https://agentmods.dev/badge/commands/fannon/u-he-preset-randomizer/context.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 5.1 | $0.00007 | $0.00052 |
| Opus 5 | $0.00003 | $0.00026 |
| Sonnet 5 | $0.00001 | $0.00010 |
| Haiku 4.5 | $0.00001 | $0.00005 |
Grade A, and why
context 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 5d 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
Read and use the AGENTS.md file to understand the project architecture, conventions, and development workflow.
After reading AGENTS.md, confirm you understand the project structure and are ready to work on tasks.
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.
- 5d ago First seen · 8 lines · 7 tokens per session scan A 3ef77f44cb66
context is a command published in the GitHub repository Fannon/u-he-preset-randomizer (32 stars, last pushed 4mo ago), licensed MIT. It adds 7 tokens to every session and 52 once invoked, about $0.0000 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 2026-08-30.
Other commands, from other repositories
introduce-me
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ask-about-me
Ask a question about the user's personal profile via the mcp-me MCP server.
publish
Publish a new version of the notebookmd package. Follow these steps exactly.
publish
Guided version release workflow with checks, build, publish, and GitHub Release.
Generate PRPROMPTS
Generate all 32 PRPROMPTS files from PRD with strict PRP pattern.
create-plugin
Guided end-to-end plugin creation workflow with component design, implementation, and validation.