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 Sahib-Sawhney-WH/sahibs-claude-plugin-marketplace --skill agent-buildergit 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/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/agent-builder)<a href="https://agentmods.dev/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/agent-builder"><img src="https://agentmods.dev/badge/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/agent-builder/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/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/agent-builder"><img src="https://agentmods.dev/badge/skills/sahib-sawhney-wh/sahibs-claude-plugin-marketplace/agent-builder.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 | $0.00000 | $0.01680 |
| Opus 5.5 | $0.00000 | $0.00672 |
| Sonnet 5.5 | $0.00000 | $0.00336 |
| Haiku 4.5 | $0.00000 | $0.00168 |
Grade A, and why
agent-builder 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
return requests.get(url).text How it starts
The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Builder Skill
Metadata
- Name: agent-builder
- Trigger: Auto-triggered when building AI agents with DAPR
- Category: AI Agent Development
Description
Provides intelligent assistance for building AI agents with the DAPR Agents framework. Validates configuration, suggests patterns, and ensures best practices.
Auto-Trigger Patterns
This skill activates when detecting:
- Creation of agent files (
*_agent.py,*agent*.py) - Import of
dapr_agentsordapr-agents - Agent configuration files
- Tool definitions with
@tooldecorator - Workflow-backed agent patterns
Capabilities
1. Agent Configuration Validation
Validates agent setup:
- Required imports present
- Agent name and role defined
- Instructions are comprehensive
- Model configuration is valid
- Tools are properly decorated
2. Pattern Recommendations
Suggests appropriate patterns based on use case:
- AssistantAgent: Basic interactive agents
- DurableAgent: Fault-tolerant long-running tasks
- AgentService: Headless REST API agents
- Multi-Agent: Complex orchestration
3. Tool Integration Check
Validates tool definitions:
@tooldecorator present- Docstrings for LLM understanding
- Pydantic input validation
- Async for I/O operations
- Error handling
4. Memory Strategy Guidance
Recommends memory configuration:
- Short-term (conversation context)
- Long-term (DAPR state store)
- Vector memory (RAG scenarios)
5. LLM Configuration Check
Validates LLM setup:
- API key environment variables
- Model name configuration
- Temperature settings
- Token limits
Validation Rules
Agent Definition
# Required elements:
from dapr_agents import AssistantAgent
agent = AssistantAgent(
name="...", # Required: unique identifier
role="...", # Required: agent's role
instructions="...", # Required: system prompt
tools=[...], # Optional: list of tools
model="...", # Optional: LLM model (default: gpt-4o)
)
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.
- 2mo ago First seen · 298 lines · 0 tokens per session scan A 2426f8c2f605
agent-builder is a skill published in the GitHub repository Sahib-Sawhney-WH/sahibs-claude-plugin-marketplace (4 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,680 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
agent-builder compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-builderSahib-Sawhney-WH/sahibs-claude-plugin-marketplace | Skill | 4 | 10mo ago | MIT | A | 0 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |