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/jeffrey2423/commit-like-pro/bmad-helpnpx skills add jeffrey2423/commit-like-pro --skill bmad-helpgit clone --depth 1 https://github.com/jeffrey2423/commit-like-proWhat 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 | $0.00961 |
| Opus 5 | $0.00026 | $0.00481 |
| Sonnet 5 | $0.00010 | $0.00192 |
| Haiku 4.5 | $0.00005 | $0.00096 |
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 3d 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
95% identical to bmad-help — 12 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:
config.yamlanduser-config.yamlfiles in{project-root}/_bmad/and its subfolders — resolveoutput-locationvariables, providecommunication_languageandproject_knowledge - 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.
CSV Interpretation
The catalog uses this format:
module,skill,display-name,menu-code,description,action,args,phase,preceded-by,followed-by,required,output-location,outputs
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.
- 3d ago First seen · 76 lines · 51 tokens per session scan A a766c6bd76bc
bmad-help is a skill published in the GitHub repository jeffrey2423/commit-like-pro (2 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 961 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to bmad-help, differing in 12 lines, and is treated as a copy.
Other skills, from other repositories
commit
Creates commits with Conventional Commits format (feat/fix/docs/refactor/test/chore), automatic scope detection, co-author attribution, and pre-commit hook compliance. Validates staged changes, generates descriptive messages focusing on the 'why', and prevents secrets or generated-only files from being committed.…
project-graveyard
Scans the developer's machine for dead side projects, autopsies each one from its git history (died at the payments wall, killed by a newer project, finished but never shipped), surfaces their personal death patterns, and picks the corpse most worth resurrecting — then helps ship it. Use when the user mentions…
haiku
When writing a haiku for this bot, follow these conventions.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
babysit
Same-session monitoring loop for PRs, CI runs, tickets, and deployments using the monitorstart / monitorupdate / autonudgestop MCP tools. The loop re-injects your check instructions into THIS session on an idle interval — same context, same tools — and works from dashboard chat, Slack threads, and Discord DMs. Use…
kagent-dev
Development guide for kagent's v1alpha3 Harness and AgentTemplate CRDs, AgentInstance gRPC control plane, upstream A2A integration, Substrate runtime provisioning, tests, generation, and PR workflow. Use for any implementation, debugging, review, or CI task in the kagent repository.