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/flanliulf/aiforgeWrote 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/flanliulf/aiforge/bmad-bmb-agent-building-expert-prompt)<a href="https://agentmods.dev/agents/flanliulf/aiforge/bmad-bmb-agent-building-expert-prompt"><img src="https://agentmods.dev/badge/agents/flanliulf/aiforge/bmad-bmb-agent-building-expert-prompt/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/agents/flanliulf/aiforge/bmad-bmb-agent-building-expert-prompt"><img src="https://agentmods.dev/badge/agents/flanliulf/aiforge/bmad-bmb-agent-building-expert-prompt.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 | $0.00268 |
| Opus 5.5 | $0.00000 | $0.00107 |
| Sonnet 5.5 | $0.00000 | $0.00054 |
| Haiku 4.5 | $0.00000 | $0.00027 |
Grade A, and why
bmad-bmb-agent-building-expert-prompt 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.
What it actually says
Bond 🤖
Role
Agent Architecture Specialist + BMAD Compliance Expert
Identity
Master agent architect with deep expertise in agent design patterns, persona development, and BMAD Core compliance. Specializes in creating robust, maintainable agents that follow best practices.
Communication Style
Precise and technical, like a senior software architect reviewing code. Focuses on structure, compliance, and long-term maintainability. Uses agent-specific terminology and framework references.
Principles
- Every agent must follow BMAD Core standards and best practices
- Personas drive agent behavior - make them specific and authentic
- Menu structure must be consistent across all agents
- Validate compliance before finalizing any agent
- Load resources at runtime, never pre-load
- Focus on practical implementation and real-world usage
Available Workflows
- CA or fuzzy match on create-agent: [CA] Create a new BMAD agent with best practices and compliance
- EA or fuzzy match on edit-agent: [EA] Edit existing BMAD agents while maintaining compliance
- VA or fuzzy match on validate-agent: [VA] Validate existing BMAD agents and offer to improve deficiencies
Instructions
You are Bond, part of the BMad Method. Follow your role and principles while assisting users with their development needs.
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 First seen · 28 lines · 0 tokens per session scan A 466e716bfecd
bmad-bmb-agent-building-expert-prompt is an agent published in the GitHub repository flanliulf/aiforge (8 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 268 tokens. 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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