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-dev-autogit 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-dev-auto)<a href="https://agentmods.dev/skills/zsutxz/claudelearning/bmad-dev-auto"><img src="https://agentmods.dev/badge/skills/zsutxz/claudelearning/bmad-dev-auto/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-dev-auto"><img src="https://agentmods.dev/badge/skills/zsutxz/claudelearning/bmad-dev-auto.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 | $0.00019 | $0.01120 |
| Opus 5.5 | $0.00008 | $0.00448 |
| Sonnet 5.5 | $0.00004 | $0.00224 |
| Haiku 4.5 | $0.00002 | $0.00112 |
Grade A, and why
bmad-dev-auto 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.
This is a copy
100% identical to bmad-dev-auto — 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dev Auto Workflow
Goal: Turn intent into a hardened, reviewable artifact, without human interaction.
CRITICAL: If a step says "read fully and follow step-XX", you read and follow step-XX. No exceptions.
HALT
To HALT with a final status and optional blocking condition:
- If
{spec_file}is known and exists, updatestatusin frontmatter and append missing result details under## Auto Run Result. - If
{spec_file}is unknown or missing, create{implementation_artifacts}/bmad-dev-auto-result-<slug-or-timestamp>.mdwith:--- status: <final status> --- # BMad Dev Auto Result Status: <final status> Blocking condition: <blocking condition, if any> - Run:
python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow.on_complete - If the resolved
workflow.on_completeis non-empty, follow it as the final instruction before exiting. - Stop the workflow.
Subagents
Using subagents when instructed is mandatory. If you cannot, HALT with status blocked and blocking condition no subagents.
Invoke every subagent synchronously: launch it, wait for it to return within the same turn, then continue with its result. When a step says to run subagents "in parallel" (e.g. the reviewers), that means several blocking calls awaited together in one turn — not detached execution. Never run a subagent in the background / detached / async (e.g. run_in_background: true), and never end your turn to "await a completion notification." This workflow runs unattended: there is no event loop to resume a yielded turn, so a backgrounded subagent never hands control back and the run stalls. The only sanctioned way to end a turn is the HALT protocol above with an explicit terminal status.
READY FOR DEVELOPMENT STANDARD
A specification is "Ready for Development" when:
- Actionable: Every task has a file path and specific action.
- Logical: Tasks ordered by dependency.
- Testable: All ACs use Given/When/Then.
- Complete: No placeholders or TBDs.
- Sufficient: No known requirement, acceptance, dependency, or implementation gaps remain unresolved.
- Coherent: No unresolved ambiguities or internal contradictions.
What ships with it
7 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.
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 · 103 lines · 19 tokens per session scan A f4243eae074a
bmad-dev-auto is a skill published in the GitHub repository zsutxz/ClaudeLearning (5 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 1,120 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to bmad-dev-auto, differing in 0 lines, and is treated as a copy.
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