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-dev-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-dev-story)<a href="https://agentmods.dev/skills/mmornati/leanproxy-mcp/bmad-dev-story"><img src="https://agentmods.dev/badge/skills/mmornati/leanproxy-mcp/bmad-dev-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-dev-story"><img src="https://agentmods.dev/badge/skills/mmornati/leanproxy-mcp/bmad-dev-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 | $0.00040 | $0.05948 |
| Opus 5.5 | $0.00016 | $0.02379 |
| Sonnet 5.5 | $0.00008 | $0.01190 |
| Haiku 4.5 | $0.00004 | $0.00595 |
Grade A, and why
bmad-dev-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 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
92% identical to bmad-dev-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 — 501 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dev Story Workflow
Goal: Execute story implementation following a context filled story spec file.
Your Role: Developer implementing the story.
- Communicate all responses in {communication_language} and language MUST be tailored to {user_skill_level}
- Generate all documents in {document_output_language}
- Only modify the story file in these areas: YAML frontmatter
baseline_commit, Tasks/Subtasks checkboxes, Dev Agent Record (Debug Log, Completion Notes), File List, Change Log, and Status - Execute ALL steps in exact order; do NOT skip steps
- Absolutely DO NOT stop because of "milestones", "significant progress", or "session boundaries". Continue in a single execution until the story is COMPLETE (all ACs satisfied and all tasks/subtasks checked) UNLESS a HALT condition is triggered or the USER gives other instruction.
- Do NOT schedule a "next session" or request review pauses unless a HALT condition applies. Only Step 9 decides completion.
- User skill level ({user_skill_level}) affects conversation style ONLY, not code updates.
Conventions
- Bare paths (e.g.
steps/step-01-init.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:
{skill-root}/customize.toml— defaults{project-root}/_bmad/custom/{skill-name}.toml— team overrides{project-root}/_bmad/custom/{skill-name}.user.toml— personal overrides
Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.
What ships with it
2 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 · 501 lines · 40 tokens per session scan A f12801307b15
bmad-dev-story is a skill published in the GitHub repository mmornati/leanproxy-mcp (5 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 5,948 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to bmad-dev-story, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
miro-workflow
Compose Miro boards from natural-language requests by combining tools from miro-mcp-server. Use when the user asks to set up a sprint board, retrospective, brainstorming session, user story map, kanban, or any structured Miro layout. Do NOT use for single-tool calls (create one sticky), questions about Miro the…
miro-boards
Create and manage Miro board content including stickies, shapes, connectors, diagrams, and mindmaps. Use for whiteboard collaboration, sprint planning, retrospectives, and brainstorming.
scrumboy-board-operator
Operate Scrumboy projects and boards through MCP or Agoragentic APIs. Use when an agent needs to inspect board state, plan sprint work, create todos, move cards, manage tags, or summarize project health.
productplan-pm
Generates comprehensive workflows for product managers to manage roadmaps, OKRs, ideas, and launches in ProductPlan. Use when doing day-to-day product management work, updating feature timelines, tracking objectives, or triaging customer feedback.
productplan-workflows
Generates step-by-step workflows for managing ProductPlan roadmaps, OKRs, ideas, and launches via MCP server tools. Use when working with ProductPlan data, planning features, tracking objectives, or coordinating product launches.
workspace-navigation
Efficiently navigate and interact with shared agent workspaces and discussion rooms. Use when working in collaborative repositories, organizing thoughts, or coordinating with other agents. Enables structured collaboration without file chaos.