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/runapi-ai/mcpWrote 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/runapi-ai/mcp/gen)<a href="https://agentmods.dev/commands/runapi-ai/mcp/gen"><img src="https://agentmods.dev/badge/commands/runapi-ai/mcp/gen/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/runapi-ai/mcp/gen"><img src="https://agentmods.dev/badge/commands/runapi-ai/mcp/gen.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 | $0.00025 | $0.00270 |
| Opus 5.5 | $0.00010 | $0.00108 |
| Sonnet 5.5 | $0.00005 | $0.00054 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
gen 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
Quick Generate
Create a RunAPI media task from $ARGUMENTS.
Instructions
- If
$ARGUMENTSis empty, ask for the prompt or task description. - Call
mcp__runapi__list_modelswith the most likely modality filter. - Call
mcp__runapi__get_model_infowith the selected service, action, and model slug, then obey returned input rules. - If the selected task is video, music, or a batch, ask for confirmation before creating it.
- Generate one new opaque idempotency key for this logical task.
- Delegate the creation to the
task-executoragent with exact service, action, model, params, idempotency key, and wait settings. - Present task ID, status, output URLs, and cost fields when available.
Do not invent model slugs.
Do not quote prices without mcp__runapi__check_pricing.
Do not describe generated media content.
Do not retry an unknown create result automatically. An explicit retry must reuse the original idempotency key and identical input.
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 · 26 lines · 25 tokens per session scan A 1af9032d276d
gen is a command published in the GitHub repository runapi-ai/mcp (55 stars, last pushed yesterday), licensed Apache-2.0. It adds 25 tokens to every session and 270 once invoked, about $0.0001 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 2026-08-30.
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migrate
Command "migrate" from chohra-med/expo_boilerplate, covering invocation, steps and rule.
cost-tracker
Track session costs, understand token spend, and get optimization tips.
constraints
A command for defining a project's quality standards through a short interview and a written CONSTRAINTS.md file. It records checks, thresholds, exceptions, and commands for enforcing them.