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 butterbase-ai/butterbase-skills --skill journey-ideagit clone --depth 1 https://github.com/butterbase-ai/butterbase-skillsWrote 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/butterbase-ai/butterbase-skills/journey-idea)<a href="https://agentmods.dev/skills/butterbase-ai/butterbase-skills/journey-idea"><img src="https://agentmods.dev/badge/skills/butterbase-ai/butterbase-skills/journey-idea/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/butterbase-ai/butterbase-skills/journey-idea"><img src="https://agentmods.dev/badge/skills/butterbase-ai/butterbase-skills/journey-idea.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00092 | $0.01312 |
| Opus 5 | $0.00046 | $0.00656 |
| Sonnet 5 | $0.00018 | $0.00262 |
| Haiku 4.5 | $0.00009 | $0.00131 |
Grade A, and why
journey-idea 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Journey: Idea brainstorm
Stage 1 of the guided journey. Turn a vague idea into a written brief with capability tags.
When to use
- Dispatched by
journeywhencurrent_stage: idea. - Directly via
/butterbase-skills:idea.
Inputs
None required. Optionally reads any existing 01-idea.md to resume.
Procedure — questioning discipline
Follow the cross-cutting rules from the spec:
- One question at a time. Never batch.
- Multiple-choice preferred, with 2–4 concrete options.
- Concrete, not abstract.
- Recommend when a Butterbase primitive is obvious.
- Tag inline. When a feature surfaces, append the capability tag immediately (
→ manage_schema,→ deploy_function,→ manage_storage,→ manage_oauth,→ manage_rag_content,→ manage_realtime,→ manage_durable_objects,→ manage_ai,→ create_agent). - Write as you go. After each answered question, append the decision to
01-idea.mdso progress survives a crash.
Walk through these questions in order. Do not skip — but adapt the wording.
"In one sentence, what is the painful thing your user does today that this replaces?""Who is the first user? ① solo creator ② small team ③ end customers of a business ④ Other""What is the first action they take in the app?""If we could ship only ONE screen, which one?""Do two different users see different data when they log in? (yes → user-scoped data → manage_rls; no → shared → simpler)""Are there files/images involved? (yes → manage_storage; no → skip)""Does anything happen on a schedule or in response to an external event? (yes → deploy_function cron/webhook; no → skip)""Is there a knowledge base / search-over-documents feature? (yes → manage_rag_content; no → skip)""Does the UI need live updates or presence? (yes → manage_realtime; no → skip)""Any chat rooms / multiplayer / per-user-actor state? (yes → manage_durable_objects; no → skip)""Any LLM features (chat, embeddings, summarisation)? (yes → manage_ai; no → skip)""Any multi-step LLM+tool workflows the user triggers (e.g. 'summarise my orders', 'auto-tag a doc', 'research and reply')? (yes → create_agent; no → skip)". If yes, also ask:"Will the agent need external MCP servers (e.g. GitHub, Slack, custom MCP)?"and"Visibility: ① only the developer ② any logged-in user ③ unauthenticated public — note: public + write tools requires explicit safety acknowledgement.""Are you planning to publish this app as a public template others can clone? (yes / unlisted-public / no)". Setpublish_as_template: <yes|unlisted|no>in00-state.mdfront-matter. Public templates require a README with clone instructions andbutterbase repo pushto sync the source tree — flag this soplanand the publish stage know to plan for it.
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.
- 12d ago First seen · 103 lines · 92 tokens per session scan A 4e6c49eadd8a
journey-idea is a skill published in the GitHub repository butterbase-ai/butterbase-skills (533 stars, last pushed 2mo ago), licensed MIT. It adds 92 tokens to every session and 1,312 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
butterbase
AI-native, open-source backend-as-a-service with a built-in Model Context Protocol server. Postgres, auth, storage, functions, AI gateway.
run402
Provision Postgres + REST API + auth + content-addressed storage + serverless functions + email — paid with x402 USDC on Base. Prototype tier is free on testnet. Use when the user asks to build a webapp, deploy a site, create a database, generate images, or mentions Run402.
run402-buzz
Complete Run402 onboarding for a managed Buzz agent with a dedicated wallet/public identity link, report independent human-adoption and community-installation state, offer bounded per-agent enrollment before provisioning, and stop only at a real approval or repair boundary. Use when a managed Buzz user says "install…
run402
Provision Postgres + REST API + auth + content-addressed storage + serverless functions + email — paid with x402 USDC on Base. Prototype tier is free on testnet.
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…