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/Sahib-Sawhney-WH/sahibs-claude-plugin-marketplaceWrote 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/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/init)<a href="https://agentmods.dev/commands/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/init"><img src="https://agentmods.dev/badge/commands/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/init/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/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/init"><img src="https://agentmods.dev/badge/commands/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/init.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 | $0.00016 | $0.00530 |
| Opus 5 | $0.00008 | $0.00265 |
| Sonnet 5 | $0.00003 | $0.00106 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
init 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DAPR Project Initialization
Initialize a new DAPR-enabled Python microservices project with best practices configuration.
Behavior
When the user runs /dapr:init:
-
Gather Project Info
- Ask for project name if not provided in $ARGUMENTS
- Ask for project type: microservice, workflow, or actor
- Ask for Azure integration preferences (Container Apps, AKS, or local only)
-
Create Project Structure
{project_name}/ ├── src/ │ └── main.py # Main application entry ├── components/ │ ├── statestore.yaml # State management component │ ├── pubsub.yaml # Pub/Sub component │ └── secrets.yaml # Secrets component ├── dapr.yaml # DAPR configuration ├── requirements.txt # Python dependencies ├── Dockerfile # Container image └── README.md # Project documentation -
Install Dependencies
- dapr (core SDK)
- dapr-ext-fastapi or dapr-ext-grpc (based on choice)
- dapr-ext-workflow (if workflow project)
-
Configure Components
- Set up local Redis for state/pubsub (development)
- Prepare Azure component templates (production)
- Configure secrets management
-
Validate Setup
- Check DAPR CLI is installed (
dapr --version) - Verify Python environment
- Run initial health check
- Check DAPR CLI is installed (
Arguments
$ARGUMENTS- Project name (optional, will prompt if not provided)
Examples
/dapr:init my-order-service
/dapr:init payment-workflow --type workflow
/dapr:init inventory-actor --type actor --azure
Best Practices Applied
- Uses FastAPI for HTTP endpoints (modern async Python)
- Configures health endpoints for Kubernetes readiness/liveness
- Sets up structured logging with correlation IDs
- Includes OpenTelemetry tracing setup
- Prepares multi-stage Dockerfile for optimized images
- Includes .env.example for local development
Post-Initialization
After initialization, suggest:
- Run
dapr initif DAPR runtime not installed - Start with
dapr run --app-id {app_name} -- python src/main.py - Review component configurations for production
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.
- 12d ago First seen · 75 lines · 16 tokens per session scan A c71bcd577a2d
init is a command published in the GitHub repository Sahib-Sawhney-WH/sahibs-claude-plugin-marketplace (4 stars, last pushed 8mo ago), licensed MIT. It adds 16 tokens to every session and 530 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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