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/appboypov/pew-pew-plaza-packsWrote 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/appboypov/pew-pew-plaza-packs/agent-best-practices)<a href="https://agentmods.dev/commands/appboypov/pew-pew-plaza-packs/agent-best-practices"><img src="https://agentmods.dev/badge/commands/appboypov/pew-pew-plaza-packs/agent-best-practices/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/appboypov/pew-pew-plaza-packs/agent-best-practices"><img src="https://agentmods.dev/badge/commands/appboypov/pew-pew-plaza-packs/agent-best-practices.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 | $0.00020 | $0.01288 |
| Opus 5 | $0.00010 | $0.00644 |
| Sonnet 5 | $0.00004 | $0.00258 |
| Haiku 4.5 | $0.00002 | $0.00129 |
Grade A, and why
agent-best-practices 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 9d 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instruction Command
When this command is used, acknowledge that you understand these instructions and will follow them throughout the conversation. Then await the user's request.
⭐ Agent Best Practices
💡 Proven approaches and techniques for creating high-quality agents.
Design Principles
WHEN designing agent architecture
Single Responsibility Principle:
- Focus each agent on one clear, well-defined purpose
- Resist the temptation to combine multiple functions
- Create separate agents rather than multi-purpose ones
- Ensure the agent name reflects its single purpose
Autonomy Within Scope:
- Design agents to operate independently within their domain
- Provide all necessary context and instructions
- Minimize dependencies on external clarification
- Enable decision-making within defined boundaries
Reusability Focus:
- Create agents that work across different projects
- Avoid project-specific hardcoding
- Use wikilinks for configuration and templates
- Design for composition with other agents
Prompt Engineering
WHEN writing agent system prompts
Clarity and Specificity:
- Be explicit about requirements and constraints
- Use concrete examples to illustrate concepts
- Define technical terms and acronyms
- Avoid ambiguous language
Structured Thinking:
- Use XML tags for complex input processing
- Apply chain-of-thought reasoning for complex tasks
- Break down multi-step processes clearly
- Include decision trees for branching logic
Positive Framing:
- Frame instructions as "what to do" rather than "what not to do"
- Use ALWAYS for required actions before NEVER for prohibitions
- Focus on desired outcomes and behaviors
- Reserve NEVER rules for critical prohibitions only
Progressive Disclosure:
- Start with high-level purpose and role
- Add detail progressively through sections
- Use subsections for complex topics
- Maintain logical flow from general to specific
Component Composition
WHEN combining agents with other components
WikiLink Strategy:
- Reference existing workflows with
[[workflow-name]] - Embed reusable instructions with
![[instruction-name-wl-example]] - Link to templates for output formats
- Connect to related agents for orchestration
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.
- 9d ago First seen · 230 lines · 20 tokens per session scan A 3c96e136ea3b
agent-best-practices is a command published in the GitHub repository appboypov/pew-pew-plaza-packs (85 stars, last pushed 8mo ago), licensed MIT. It adds 20 tokens to every session and 1,288 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 2026-09-03.
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env-check
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callee-create-agent
Create a Callee agent or deterministic workflow.
ship
Ship command. Runs the pre-flight gate, decides the version bump, assembles the changelog, and opens the PR via the release-manager agent. Nothing ships unless the gate is green.