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 benjaminasterA/antigravity-awesome-skills --skill azure-messaging-webpubsubservice-pygit clone --depth 1 https://github.com/benjaminasterA/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/benjaminastera/antigravity-awesome-skills/azure-messaging-webpubsubservice-py)<a href="https://agentmods.dev/skills/benjaminastera/antigravity-awesome-skills/azure-messaging-webpubsubservice-py"><img src="https://agentmods.dev/badge/skills/benjaminastera/antigravity-awesome-skills/azure-messaging-webpubsubservice-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/benjaminastera/antigravity-awesome-skills/azure-messaging-webpubsubservice-py"><img src="https://agentmods.dev/badge/skills/benjaminastera/antigravity-awesome-skills/azure-messaging-webpubsubservice-py.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 55 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00000 | $0.01379 |
| Opus 5 | $0.00000 | $0.00690 |
| Sonnet 5 | $0.00000 | $0.00276 |
| Haiku 4.5 | $0.00000 | $0.00138 |
Grade A, and why
azure-messaging-webpubsubservice-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 8d 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- azure-messaging-webpubsubservice-py — 94% identical, 6 lines differ
- azure-messaging-webpubsubservice-py — 94% identical, 6 lines differ
- azure-messaging-webpubsubservice-py — 86% identical, 11 lines differ
- azure-messaging-webpubsubservice-py — 86% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Web PubSub Service SDK for Python
Real-time messaging with WebSocket connections at scale.
Installation
# Service SDK (server-side)
pip install azure-messaging-webpubsubservice
# Client SDK (for Python WebSocket clients)
pip install azure-messaging-webpubsubclient
Environment Variables
AZURE_WEBPUBSUB_CONNECTION_STRING=Endpoint=https://<name>.webpubsub.azure.com;AccessKey=...
AZURE_WEBPUBSUB_HUB=my-hub
Service Client (Server-Side)
Authentication
from azure.messaging.webpubsubservice import WebPubSubServiceClient
# Connection string
client = WebPubSubServiceClient.from_connection_string(
connection_string=os.environ["AZURE_WEBPUBSUB_CONNECTION_STRING"],
hub="my-hub"
)
# Entra ID
from azure.identity import DefaultAzureCredential
client = WebPubSubServiceClient(
endpoint="https://<name>.webpubsub.azure.com",
hub="my-hub",
credential=DefaultAzureCredential()
)
Generate Client Access Token
# Token for anonymous user
token = client.get_client_access_token()
print(f"URL: {token['url']}")
# Token with user ID
token = client.get_client_access_token(
user_id="user123",
roles=["webpubsub.sendToGroup", "webpubsub.joinLeaveGroup"]
)
# Token with groups
token = client.get_client_access_token(
user_id="user123",
groups=["group1", "group2"]
)
Send to All Clients
# Send text
client.send_to_all(message="Hello everyone!", content_type="text/plain")
# Send JSON
client.send_to_all(
message={"type": "notification", "data": "Hello"},
content_type="application/json"
)
Send to User
client.send_to_user(
user_id="user123",
message="Hello user!",
content_type="text/plain"
)
Send to Group
client.send_to_group(
group="my-group",
message="Hello group!",
content_type="text/plain"
)
Send to Connection
client.send_to_connection(
connection_id="abc123",
message="Hello connection!",
content_type="text/plain"
)
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.
- 8d ago First seen · 251 lines · 0 tokens per session scan A e5f54929c36f
azure-messaging-webpubsubservice-py is a skill published in the GitHub repository benjaminasterA/antigravity-awesome-skills (271 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,379 tokens. 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 2026-09-03.
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