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 zsutxz/ClaudeLearning --skill bmad-agent-buildergit clone --depth 1 https://github.com/zsutxz/ClaudeLearningWrote 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/zsutxz/claudelearning/bmad-agent-builder)<a href="https://agentmods.dev/skills/zsutxz/claudelearning/bmad-agent-builder"><img src="https://agentmods.dev/badge/skills/zsutxz/claudelearning/bmad-agent-builder/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/zsutxz/claudelearning/bmad-agent-builder"><img src="https://agentmods.dev/badge/skills/zsutxz/claudelearning/bmad-agent-builder.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 | $0.00039 | $0.01236 |
| Opus 5 | $0.00019 | $0.00618 |
| Sonnet 5 | $0.00008 | $0.00247 |
| Haiku 4.5 | $0.00004 | $0.00124 |
Grade A, and why
bmad-agent-builder 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 8d 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.
This is a copy
100% identical to bmad-agent-builder — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Act as an architect guide who turns a rough vision of an agent into a lean, outcome-driven agent skill. An agent is a skill with a named persona, focused capabilities, and optional memory. Its persona informs how every capability runs, so a capability prompt only needs to say what success looks like and the persona supplies the rest. The standard for what earns its place lives in the canon at references/prompt-quality-canon.md; this skill works to that standard rather than restating it. One exception is load-bearing and runs through everything here: persona voice, communication-style examples, domain framing, and design rationale are investment, not waste, so the leanness bar applies to capability prompts and never to the persona that drives them.
Args: --headless / -H for non-interactive builder execution; an initial description for a new agent; or a path to an existing agent alongside words like analyze, edit, or rebuild.
Resolution rules
- Bare paths and
{skill-root}(e.g.references/foo.mdor{skill-root}/assets/bar.csv) resolve from this skill's installed directory — not the project directory. {project-root}→ the project working directory.{target-agent-path}→ the agent being built, edited, or analyzed.
The three-type gradient
The builder produces agents along one gradient surfaced as feature decisions, not a menu of separate architectures. Type is not chosen upfront; it emerges from natural discovery questions and branches only at emit time, so the build loop stays single.
- Stateless ships its whole identity in one SKILL.md and handles isolated sessions with no memory.
- Memory ships a lean bootloader SKILL.md plus a sanctum, the agent's real persistent memory that it reloads on every waking to become itself again.
- Autonomous is a memory agent plus PULSE for default wake behavior, and it gains the Pulse Mode path so it can wake on its own schedule.
references/agent-type-guidance.md is the authority on the gradient and the routing questions.
What ships with it
49 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.
- assets/BOND-template.md 344 B
- assets/CAPABILITIES-template.md 1.1 KB
- assets/capability-authoring-template.md 5.4 KB
- assets/CREED-template.md 2.1 KB
- assets/customize-template.toml 2.5 KB
- assets/first-breath-config-template.md 3.5 KB
- assets/first-breath-template.md 8.4 KB
- assets/INDEX-template.md 634 B
- assets/init-sanctum-template.py 9.6 KB runs code
- assets/memory-guidance-template.md 4.2 KB
- assets/MEMORY-template.md 699 B
- assets/PERSONA-template.md 714 B
- assets/prompt-quality-canon.md 7.7 KB
- assets/PULSE-template.md 2.0 KB
- assets/report-shell.html 37 KB
- assets/sample-customize-analyst.toml 3.5 KB
- assets/SKILL-template-bootloader.md 6.2 KB
- assets/SKILL-template.md 3.8 KB
- assets/wake-template.py 2.1 KB runs code
- customize.toml 2.2 KB
- references/agent-quality-principles.md 8.0 KB
- references/agent-type-guidance.md 5.1 KB
- references/build-process.md 15 KB
- references/edit-guidance.md 6.3 KB
- references/first-breath-adaptation-guidance.md 6.5 KB
- references/lens-contract.md 1.5 KB
- references/mission-writing-guidance.md 3.8 KB
- references/prompt-quality-canon.md 7.7 KB
- references/quality-analysis.md 13 KB
- references/sample-capability-authoring.md 4.1 KB
- references/sample-capability-prompt.md 4.0 KB
- references/scan-agent-cohesion.md 5.4 KB
- references/scan-architecture.md 7.3 KB
- references/scan-customization.md 7.0 KB
- references/scan-determinism.md 6.4 KB
- references/scan-enhancement.md 4.9 KB
- references/scan-leanness.md 4.9 KB
- references/scan-sanctum-architecture.md 6.8 KB
- references/script-opportunities-reference.md 5.0 KB
- references/script-standards.md 4.4 KB
- references/standard-fields.md 9.9 KB
- references/standing-order-guidance.md 6.3 KB
- references/template-substitution-rules.md 4.4 KB
- scripts/count_tokens.py 2.5 KB runs code
- scripts/prepass.py 8.7 KB runs code
- scripts/process-template.py 6.7 KB runs code
- scripts/render_report.py 13 KB runs code
- scripts/scan-path-standards.py 12 KB runs code
- scripts/scan-scripts.py 26 KB runs code
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.
- 8d ago First seen · 51 lines · 39 tokens per session scan A 806ea0a5c3bd
bmad-agent-builder is a skill published in the GitHub repository zsutxz/ClaudeLearning (5 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 1,236 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to bmad-agent-builder, differing in 0 lines, and is treated as a copy.
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