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 mmornati/leanproxy-mcp --skill bmad-create-storygit clone --depth 1 https://github.com/mmornati/leanproxy-mcpWrote 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/mmornati/leanproxy-mcp/bmad-create-story)<a href="https://agentmods.dev/skills/mmornati/leanproxy-mcp/bmad-create-story"><img src="https://agentmods.dev/badge/skills/mmornati/leanproxy-mcp/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/mmornati/leanproxy-mcp/bmad-create-story"><img src="https://agentmods.dev/badge/skills/mmornati/leanproxy-mcp/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 | $0.05444 |
| Opus 5 | $0.00021 | $0.02722 |
| Sonnet 5 | $0.00008 | $0.01089 |
| Haiku 4.5 | $0.00004 | $0.00544 |
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 9d 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
98% identical to bmad-create-story — 5 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 — 433 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
Subagents, when the capability is available, are an important part of this workflow. Use them as directed by the workflow steps. If you need an explicit user instruction to run them, ask once now for the whole workflow run.
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
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.
- 9d ago First seen · 433 lines · 42 tokens per session scan A 692ab872ebaa
bmad-create-story is a skill published in the GitHub repository mmornati/leanproxy-mcp (5 stars, last pushed 10d ago), licensed MIT. It adds 42 tokens to every session and 5,444 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to bmad-create-story, differing in 5 lines, and is treated as a copy.
Other skills, from other repositories
cn-check
Install and run the Continue CLI (cn) to execute AI agent checks on local code changes. Use when asked to "run checks", "lint with AI", "review my changes with cn", or set up Continue CI locally.
use-modern-go
Use the Modern Go Guidelines CLI whenever writing, modifying, fixing, or refactoring Go code. Apply its version-specific guidance to generated changes.
gograph
Go repository intelligence for Claude Code. Use when reading, navigating, editing, reviewing, or refactoring a Go codebase. Exposes 64 query, analysis, and workflow capabilities through the local gograph MCP server, including bounded first-call exploration, AST-aware call graphs, blast-radius analysis, impact, and…
lsp-inspect
Full code quality audit for a file, package, or directory. Supports batch mode (directory walk with --top ranking), comparison mode (--diff for branch-only issues), severity calibration by blast radius, fix suggestions, and confidence tiers. Applies a check taxonomy (dead symbols, silent failures, error wrapping…
lsp-dead-code
Enumerate exported symbols in a file and surface those with zero references across the workspace. Use when auditing for dead code, cleaning up APIs, or checking which exports are safe to remove.
lsp-refactor
End-to-end safe refactor workflow — blast-radius analysis, speculative preview, apply to disk, verify build, run affected tests. Inlines lsp-impact + lsp-safe-edit + lsp-verify + lsp-test-correlation into one coordinated sequence.