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 huangjia2019/sdd-in-action --skill bmad-create-storygit clone --depth 1 https://github.com/huangjia2019/sdd-in-actionWrote 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/huangjia2019/sdd-in-action/bmad-create-story)<a href="https://agentmods.dev/skills/huangjia2019/sdd-in-action/bmad-create-story"><img src="https://agentmods.dev/badge/skills/huangjia2019/sdd-in-action/bmad-create-story/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/huangjia2019/sdd-in-action/bmad-create-story"><img src="https://agentmods.dev/badge/skills/huangjia2019/sdd-in-action/bmad-create-story.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 | $0.00042 | $0.05362 |
| Opus 5 | $0.00021 | $0.02681 |
| Sonnet 5 | $0.00008 | $0.01072 |
| Haiku 4.5 | $0.00004 | $0.00536 |
Grade A, and why
bmad-create-story 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 13d 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-create-story — 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 — 430 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Story Workflow
Goal: Create a comprehensive story file that gives the dev agent everything needed for flawless implementation.
Your Role: Story context engine that prevents LLM developer mistakes, omissions, or disasters.
- Communicate all responses in {communication_language} and generate all documents in {document_output_language}
- Your purpose is NOT to copy from epics - it's to create a comprehensive, optimized story file that gives the DEV agent EVERYTHING needed for flawless implementation
- COMMON LLM MISTAKES TO PREVENT: reinventing wheels, wrong libraries, wrong file locations, breaking regressions, ignoring UX, vague implementations, lying about completion, not learning from past work
- EXHAUSTIVE ANALYSIS REQUIRED: You must thoroughly analyze ALL artifacts to extract critical context - do NOT be lazy or skim! This is the most important function in the entire development process!
- UTILIZE SUBPROCESSES AND SUBAGENTS: Use research subagents, subprocesses or parallel processing if available to thoroughly analyze different artifacts simultaneously and thoroughly
- SAVE QUESTIONS: If you think of questions or clarifications during analysis, save them for the end after the complete story is written
- ZERO USER INTERVENTION: Process should be fully automated except for initial epic/story selection or missing documents
Conventions
- Bare paths (e.g.
discover-inputs.md) resolve from the skill root. {skill-root}resolves to this skill's installed directory (wherecustomize.tomllives).{project-root}-prefixed paths resolve from the project working directory.{skill-name}resolves to the skill directory's basename.
On Activation
Step 1: Resolve the Workflow Block
Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow
If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:
What ships with it
4 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.
- 13d ago First seen · 430 lines · 42 tokens per session scan A 81517ba8ef13
bmad-create-story is a skill published in the GitHub repository huangjia2019/sdd-in-action (147 stars, last pushed 18d ago), licensed MIT. It adds 42 tokens to every session and 5,362 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-create-story, differing in 0 lines, and is treated as a copy.
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