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 san-npm/skills-ws --skill ai-agent-buildinggit clone --depth 1 https://github.com/san-npm/skills-wsWrote 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/san-npm/skills-ws/ai-agent-building)<a href="https://agentmods.dev/skills/san-npm/skills-ws/ai-agent-building"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/ai-agent-building/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/san-npm/skills-ws/ai-agent-building"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/ai-agent-building.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 | $0.00078 | $0.00516 |
| Opus 5 | $0.00039 | $0.00258 |
| Sonnet 5 | $0.00016 | $0.00103 |
| Haiku 4.5 | $0.00008 | $0.00052 |
Grade A, and why
ai-agent-building 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.
What it actually says
AI Agent Building
Reference guide
Read only the references needed for the current request:
- Agent Architecture Fundamentals: references/agent-architecture-fundamentals.md
- LangGraph: State Machine Agents: references/langgraph-state-machine-agents.md
- CrewAI: Multi-Agent Teams: references/crewai-multi-agent-teams.md
- Tool Design: Best Practices: references/tool-design-best-practices.md
- Memory Patterns: references/memory-patterns.md
- RAG Pipeline: Production Patterns: references/rag-pipeline-production-patterns.md
- Multi-Agent Patterns: references/multi-agent-patterns.md
- Production Concerns: references/production-concerns.md
- Modern Agent Surfaces (2025-2026): references/modern-agent-surfaces-2025-2026.md
- Safety: Prompt Injection Defense: references/safety-prompt-injection-defense.md
- Evaluation: references/evaluation.md
- Checklist: Production Agent: references/checklist-production-agent.md
- MCP (Model Context Protocol) Integration: references/mcp-model-context-protocol-integration.md
- Deployment: Containerized Agent: references/deployment-containerized-agent.md
- Cost Control: references/cost-control.md
What ships with it
16 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 167 B
- references/agent-architecture-fundamentals.md 361 B
- references/checklist-production-agent.md 723 B
- references/cost-control.md 1.7 KB
- references/crewai-multi-agent-teams.md 2.1 KB
- references/deployment-containerized-agent.md 3.4 KB
- references/evaluation.md 3.0 KB
- references/langgraph-state-machine-agents.md 7.8 KB
- references/mcp-model-context-protocol-integration.md 4.3 KB
- references/memory-patterns.md 2.5 KB
- references/modern-agent-surfaces-2025-2026.md 2.4 KB
- references/multi-agent-patterns.md 1.8 KB
- references/production-concerns.md 3.0 KB
- references/rag-pipeline-production-patterns.md 2.5 KB
- references/safety-prompt-injection-defense.md 1.4 KB
- references/tool-design-best-practices.md 5.5 KB
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 First seen · 26 lines · 78 tokens per session scan A 368ce5af7b22
ai-agent-building is a skill published in the GitHub repository san-npm/skills-ws (2 stars, last pushed 4d ago), licensed MIT. It adds 78 tokens to every session and 516 once invoked, about $0.0004 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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