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 agentmods add skills/bsahane/memory-mcp-server/bmad-helpnpx skills add bsahane/memory-mcp-server --skill bmad-helpgit clone --depth 1 https://github.com/bsahane/memory-mcp-serverWrote 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/bsahane/memory-mcp-server/bmad-help)<a href="https://agentmods.dev/skills/bsahane/memory-mcp-server/bmad-help"><img src="https://agentmods.dev/badge/skills/bsahane/memory-mcp-server/bmad-help.svg" alt="Measured on agentmods" 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 | $0.00051 | $0.01008 |
| Opus 5 | $0.00026 | $0.00504 |
| Sonnet 5 | $0.00010 | $0.00202 |
| Haiku 4.5 | $0.00005 | $0.00101 |
Grade A, and why
bmad-help 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 4d 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
84% identical to bmad-help — 18 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BMad Help
Purpose
Help the user understand where they are in their BMad workflow and what to do next, and also answer broader questions when asked that could be augmented with remote sources such as module documentation sources.
Desired Outcomes
When this skill completes, the user should:
- Know where they are — which module and phase they're in, what's already been completed
- Know what to do next — the next recommended and/or required step, with clear reasoning
- Know how to invoke it — skill name, menu code, action context, and any args that shortcut the conversation
- Get offered a quick start — when a single skill is the clear next step, offer to run it for the user right now rather than just listing it
- Feel oriented, not overwhelmed — surface only what's relevant to their current position; don't dump the entire catalog
- Get answers to general questions — when the question doesn't map to a specific skill, use the module's registered documentation to give a grounded answer
Data Sources
- Catalog:
{project-root}/_bmad/_config/bmad-help.csv— assembled manifest of all installed module skills - Config: Run
uv run {project-root}/_bmad/scripts/resolve_config.py --project-root {project-root}and use the merged JSON to resolveoutput-locationvariables and readcore.communication_languageandmodules.bmm.project_knowledge. The resolver merges_bmad/config.toml,_bmad/config.user.toml,_bmad/custom/config.toml, and_bmad/custom/config.user.tomlin that order. - Artifacts: Files matching
outputspatterns at resolvedoutput-locationpaths reveal which steps are possibly completed; their content may also provide grounding context for recommendations - Project knowledge: If
project_knowledgeresolves to an existing path, read it for grounding context. Never fabricate project-specific details. - Module docs: Rows with
_metain theskillcolumn carry a URL or path inoutput-locationpointing to the module's documentation (e.g., llms.txt). Fetch and use these to answer general questions about that module.
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.
- 4d ago First seen · 76 lines · 51 tokens per session scan A 68a19089a007
bmad-help is a skill published in the GitHub repository bsahane/memory-mcp-server (0 stars, last pushed 13d ago), licensed Apache-2.0. It adds 51 tokens to every session and 1,008 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to bmad-help, differing in 18 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…