Borrowing it
Nothing to install: this file belongs to agno-agi/agentos-modal. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/agno-agi/agentos-modal/main/.agents/skills/create-agent/SKILL.mdgit clone --depth 1 https://github.com/agno-agi/agentos-modalWrote 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/agno-agi/agentos-modal/create-agent)<a href="https://agentmods.dev/skills/agno-agi/agentos-modal/create-agent"><img src="https://agentmods.dev/badge/skills/agno-agi/agentos-modal/create-agent/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/agno-agi/agentos-modal/create-agent"><img src="https://agentmods.dev/badge/skills/agno-agi/agentos-modal/create-agent.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 | $0.00050 | $0.03486 |
| Opus 5.5 | $0.00020 | $0.01394 |
| Sonnet 5.5 | $0.00010 | $0.00697 |
| Haiku 4.5 | $0.00005 | $0.00349 |
Grade A, and why
create-agent scanned grade A with 1 finding 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 today.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://localhost:8000/agents | jq -r '.[] | "\(.id)\t\(.is_component)"' This is a copy
100% identical to create-agent — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a New Agent
Coding-agent workflow: run as
/create-agentor by describing the task.
0. Select the development runtime
Read AGENTS.md and inspect git status. Use the runtime already serving this checkout;
do not switch modes or start a second API on port 8000.
- Compose API: confirm its bind mount points to this checkout. Run Python with
docker compose exec -T agentos-api python; inspectdocker compose logs agentos-api. If setup is needed, follow setup-platform. - Existing host API: reuse its startup command; local sandbox setup now uses Compose.
Confirm the process's working directory and startup environment. Run Python with
.venv/bin/pythonand the same.env/runtime/DB settings as that process; useuv run --no-project --env-file .env .venv/bin/pythonwhen loading the env file. Keep the API in a persistent terminal and inspect that process's log. No API container or container bind mount is required in this mode.
Check /health at the configured endpoint with its existing authentication. If unavailable,
diagnose the selected runtime rather than assuming Compose is required. Use a bounded startup
wait and inspect logs on failure. For MCP checks use scripts/mcp_check.sh with Compose or
MCP_CHECK_HOST=1 ./scripts/mcp_check.sh with the host API.
1. Find the agent worth building
Be self-driving: ask only what needs a human, decide the rest, say what you decided. Two exchanges is the target. Use the harness's structured choice control for choice-shaped questions, plain prompts for free-form ones.
This skill builds lane 1 — a source file in agents/, governed by git. Lane 2 is a component OS Manager composes at runtime; it can't touch the repo, so anything needing a code change (a toolkit the registry lacks, custom Python, a dependency, growing app/registry.py) is yours.
Check the id is free first — both lanes share one id space and code silently wins, hiding a Studio-built component under your file:
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.
- today Changed · +9 lines · -66 tokens per session 78b302a8fe65
- 3d ago Changed · +5 lines ca1f90c7b0ac
- 6d ago Changed · +40 lines · +2 tokens per session scan B → A 5d9e473ac12a
- 8d ago Changed 07c6fe6ac066
- 2mo ago First seen · 190 lines · 114 tokens per session scan B 3d602be6547b
create-agent is a skill published in the GitHub repository agno-agi/agentos-modal (3 stars, last pushed today), licensed Apache-2.0. It adds 50 tokens to every session and 3,486 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to create-agent, differing in 2 lines, and is treated as a copy.
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