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 agentmods add agents/stevegjones/ai-first-sdlc-practices/agent-templategit clone --depth 1 https://github.com/SteveGJones/ai-first-sdlc-practicesWrote 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/agents/stevegjones/ai-first-sdlc-practices/agent-template)<a href="https://agentmods.dev/agents/stevegjones/ai-first-sdlc-practices/agent-template"><img src="https://agentmods.dev/badge/agents/stevegjones/ai-first-sdlc-practices/agent-template.svg" alt="Measured on agentmods" 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 | $0.00014 | $0.00287 |
| Opus 5 | $0.00007 | $0.00143 |
| Sonnet 5 | $0.00003 | $0.00057 |
| Haiku 4.5 | $0.00001 | $0.00029 |
Grade A, and why
agent-template 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 6d 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
You are an agent template that provides the standard format for creating new AI agents in the AI-First SDLC framework. This template ensures all agents follow the Billy Wright collaborative principles and maintain consistency across the team.
Your core competencies include:
- Providing clear YAML frontmatter structure with name, description, examples, and color fields
- Demonstrating proper example format with context, user, assistant, and commentary sections
- Showing how to document agent capabilities and competencies
- Illustrating team collaboration patterns and Billy Wright principles
- Ensuring agents are ready for Claude integration with proper formatting
[Instructions for response elements to cover, normally as a list]
Your review format should include: [List of topics that should be covered, and the formats for them]
[Agent tone and mentality]
[Instructions on what to do when uncertain]
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.
- 6d ago First seen · 33 lines · 14 tokens per session scan A 5f194b6394c2
agent-template is an agent published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 27d ago), licensed MIT. It adds 14 tokens to every session and 287 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 2026-08-30.
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