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 skills add iradoweck/antigravity-awesome-skills --skill agents-v2-pygit clone --depth 1 https://github.com/iradoweck/antigravity-awesome-skillsWrote 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/iradoweck/antigravity-awesome-skills/agents-v2-py)<a href="https://agentmods.dev/skills/iradoweck/antigravity-awesome-skills/agents-v2-py"><img src="https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/agents-v2-py/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/iradoweck/antigravity-awesome-skills/agents-v2-py"><img src="https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/agents-v2-py.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 | $0.00037 | $0.02493 |
| Opus 5.5 | $0.00015 | $0.00997 |
| Sonnet 5.5 | $0.00007 | $0.00499 |
| Haiku 4.5 | $0.00004 | $0.00249 |
Grade A, and why
agents-v2-py 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 11d 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.
This is a copy
97% identical to agents-v2-py — 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 — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compatibility and maintenance
Compatibility alias of hosted-agents-v2-py; use that ID for new references when no existing contract requires this one. The instruction-only procedure remains local; no executable support files are bundled so existing installations
continue to work offline. This compatibility guide documents the hosted-agent procedure, not an additional capability; older copies may use retired preview names.
Preserve the callable ID when an existing manifest or client configuration uses it.
Modified in AAS on 2026-09-05; original metadata and license notices are retained.
Azure AI Hosted Agents (Python)
Build container-based hosted agents using HostedAgentDefinition from the Azure AI Projects SDK.
Installation
pip install 'azure-ai-projects==2.3.0' azure-identity
These are SDK 2.3.0 instruction fragments aligned with the current Microsoft hosted-agent guide. Validate the installed schema and service support before provisioning; documentation inspection is not a cloud integration test.
Environment Variables
export AZURE_AI_PROJECT_ENDPOINT="https://<resource>.services.ai.azure.com/api/projects/<project>"
Prerequisites
Before creating hosted agents:
- Container Image - Build and push to Azure Container Registry (ACR)
- ACR Pull Permissions - Grant the project identity the registry role supported by its permission mode; current hosted-agent guidance uses Container Registry Repository Reader
- Capability Host - Confirm current project/region hosted-agent availability and the application's network policy; do not enable public hosting automatically
- SDK Version - Ensure
azure-ai-projects==2.3.0
Authentication
Use the approved Azure credential flow for the intended tenant/subscription; this sketch uses DefaultAzureCredential:
from azure.identity import DefaultAzureCredential
from azure.ai.projects import AIProjectClient
import os
credential = DefaultAzureCredential()
client = AIProjectClient(
endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
credential=credential
)
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.
- 11d ago Changed · -1 lines · -2 tokens per session eb6c547422a4
- 1mo ago Changed · +18 lines c80e673c9e89
- 1mo ago Changed 6ded73934243
- 1mo ago First seen · 332 lines · 39 tokens per session scan A 764fffdebaf0
agents-v2-py is a skill published in the GitHub repository iradoweck/antigravity-awesome-skills (30 stars, last pushed 5d ago), licensed MIT. It adds 37 tokens to every session and 2,493 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to agents-v2-py, differing in 0 lines, and is treated as a copy.
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