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 alinaqi/maggy --skill agentic-developmentgit clone --depth 1 https://github.com/alinaqi/maggyWrote 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/alinaqi/maggy/agentic-development)<a href="https://agentmods.dev/skills/alinaqi/maggy/agentic-development"><img src="https://agentmods.dev/badge/skills/alinaqi/maggy/agentic-development/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/alinaqi/maggy/agentic-development"><img src="https://agentmods.dev/badge/skills/alinaqi/maggy/agentic-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 Memory Poisoning · line 108 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium Data Exfiltration · line 638 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Excessive Agency · line 817 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00022 | $0.05657 |
| Opus 5.5 | $0.00009 | $0.02263 |
| Sonnet 5.5 | $0.00004 | $0.01131 |
| Haiku 4.5 | $0.00002 | $0.00566 |
Grade A, and why
agentic-development 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 1mo 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 — 856 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Development Skill
For building autonomous AI agents that perform multi-step tasks with tools.
Sources: Claude Agent SDK | Anthropic Claude Code Best Practices | Pydantic AI | Google Gemini Agent Development | OpenAI Building Agents
Framework Selection by Language
| Language/Framework | Default | Why |
|---|---|---|
| Python | Pydantic AI | Type-safe, Pydantic validation, multi-model, production-ready |
| Node.js / Next.js | Claude Agent SDK | Official Anthropic SDK, tools, multi-agent, native streaming |
Python: Pydantic AI (Default)
from pydantic_ai import Agent
from pydantic import BaseModel
class SearchResult(BaseModel):
title: str
url: str
summary: str
agent = Agent(
'claude-sonnet-4-6',
result_type=list[SearchResult],
system_prompt='You are a research assistant.',
)
# Type-safe result
result = await agent.run('Find articles about AI agents')
for item in result.data:
print(f"{item.title}: {item.url}")
Node.js / Next.js: Claude Agent SDK (Default)
import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic();
// Define tools
const tools: Anthropic.Tool[] = [
{
name: "web_search",
description: "Search the web for information",
input_schema: {
type: "object",
properties: {
query: { type: "string", description: "Search query" },
},
required: ["query"],
},
},
];
// Agentic loop
async function runAgent(prompt: string) {
const messages: Anthropic.MessageParam[] = [
{ role: "user", content: prompt },
];
while (true) {
const response = await client.messages.create({
model: "claude-sonnet-4-6",
max_tokens: 4096,
tools,
messages,
});
// Check for tool use
if (response.stop_reason === "tool_use") {
const toolUse = response.content.find((b) => b.type === "tool_use");
if (toolUse) {
const result = await executeTool(toolUse.name, toolUse.input);
messages.push({ role: "assistant", content: response.content });
messages.push({
role: "user",
content: [{ type: "tool_result", tool_use_id: toolUse.id, content: result }],
});
continue;
}
}
// Done - return final response
return response.content.find((b) => b.type === "text")?.text;
}
}
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.
- 1mo ago Changed 04c0b8b91c12
- 1mo ago First seen · 856 lines · 22 tokens per session scan A a2e10dd2aabb
agentic-development is a skill published in the GitHub repository alinaqi/maggy (710 stars, last pushed 7d ago), licensed MIT. It adds 22 tokens to every session and 5,657 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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