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/extend-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/extend-agent)<a href="https://agentmods.dev/skills/agno-agi/agentos-modal/extend-agent"><img src="https://agentmods.dev/badge/skills/agno-agi/agentos-modal/extend-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/extend-agent"><img src="https://agentmods.dev/badge/skills/agno-agi/agentos-modal/extend-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 | $0.00114 | $0.02475 |
| Opus 5.5 | $0.00046 | $0.00990 |
| Sonnet 5.5 | $0.00023 | $0.00495 |
| Haiku 4.5 | $0.00011 | $0.00248 |
Grade A, and why
extend-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)\tis_component=\(.is_component)"' This is a copy
100% identical to extend-agent — 0 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Extend an Agent
Coding-agent workflow: run as
/extend-agentor by describing the task.
Implement the concrete requested change and verify the affected behavior. Use improve for broader agent hardening when requested; a narrow change does not require a separate hardening campaign.
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.
Infer the target from the request and registrations; ask for its ID only if ambiguous.
1. Read the agent
Confirm the slug is code, not a Studio-built component:
curl -s http://localhost:8000/agents | jq -r '.[] | "\(.id)\tis_component=\(.is_component)"'
is_component=true has no source file — route the change through OS Manager (edit_agent / edit_team / edit_workflow, then publish_component). Never create agents/<slug>.py under that id: code wins on resolution and silently shadows the built component.
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 e17065a584b9
- 3d ago Changed · +5 lines · -3 tokens per session 7e91518c155f
- 6d ago Changed · +27 lines · +3 tokens per session scan B → A 3feec842db7c
- 2mo ago First seen · 113 lines · 114 tokens per session scan B 149dbec12b67
extend-agent is a skill published in the GitHub repository agno-agi/agentos-modal (3 stars, last pushed today), licensed Apache-2.0. It adds 114 tokens to every session and 2,475 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to extend-agent, differing in 0 lines, and is treated as a copy.
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Run approved CPU or GPU work through OpenScience computejob on the user's configured Modal account. Use for isolated scientific scripts, dependency provisioning, durable outputs, logs, status, cancellation, and recovery. Never invoke the Modal SDK or CLI directly.
protein-binder-design
Design and validate de novo protein binders with the current NVIDIA BioNeMo Agent Toolkit workflow, while adapting honestly when NVIDIA-hosted credentials are unavailable.
modal
Use when running Python or GPU workloads serverlessly on Modal — modal.App, inline container Images, gpu= on @app.function, Volumes for weight caching, Cron schedules, ASGI endpoints, modal run vs serve vs deploy. NOT managed prediction APIs with no container of your own (that is replicate); NOT SSH-able GPU boxes…
agentos-ui-ux
Design, review, or implement AgentOS UI and UX work using the project’s operator-console visual system. Use for React/Tailwind pages, cards, dialogs, mobile layouts, theme work, navigation, forms, empty/loading/error states, and UI consistency reviews in AgentOS.
quick-view-modal
Let shoppers preview product details and add items to cart from the listing page without navigating away, reducing friction in the shopping flow.
agentos
Use before and during AgentOS code, UX, integration, or release work so changes stay OpenClaw-first, observable, and release-safe.