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-plangit 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-plan)<a href="https://agentmods.dev/skills/butterbase-ai/butterbase-skills/journey-plan"><img src="https://agentmods.dev/badge/skills/butterbase-ai/butterbase-skills/journey-plan/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-plan"><img src="https://agentmods.dev/badge/skills/butterbase-ai/butterbase-skills/journey-plan.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 | $0.00113 | $0.02187 |
| Opus 5 | $0.00056 | $0.01094 |
| Sonnet 5 | $0.00023 | $0.00437 |
| Haiku 4.5 | $0.00011 | $0.00219 |
Grade A, and why
journey-plan 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 13d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Journey: Plan
Stage 2 of the guided journey. Turn the idea brief into an actionable Butterbase plan.
When to use
- Dispatched by
journeywhencurrent_stage: plan. - Directly via
/butterbase-skills:plan.
Inputs
docs/butterbase/01-idea.md(must exist — if absent, bounce back tojourney-idea).docs/butterbase/00-state.md(forhackathon_mode,hackathon_deadline).
External services — check built-ins first
When the plan needs email, messaging, calendar, CRM, docs, or project-management integration:
- Invoke
butterbase-skills:integrationsand callmanage_integrationsaction: "list_available"to see what Composio covers for this app. - If a toolkit fits, the plan should record "via manage_integrations (toolkit: )" instead of naming an external SDK.
When the plan needs payments:
- Invoke
butterbase-skills:payments. - Default to Stripe Connect via
manage_billingunless the user's region forces a fallback (see the payments skill). - Record the choice ("Stripe Connect" or " via function proxy") in the plan's Payments section.
Procedure
Work through these sections in order. After each section, write the result to 02-plan.md before moving on. One question at a time per the spec's questioning discipline.
-
Tables. Read the capability map. Propose a starter table list with columns and types — recommend, don't ask blank. Example:
"Tables I'm seeing: users, orders, items. Missing any?"Then for each table:"<table>.<column>: should this be a uuid / text / int / timestamp / enum?". Confirm primary keys, foreign keys, indexes that are obvious (foreign-key columns). -
RLS model. For each table:
"Can user A see user B's <table> rows? ① no, strict isolation ② yes, public-read ③ only shared via explicit grant."Decide policy shape. In hackathon mode, prefer option ① and recommendmanage_rls action: create_user_isolation. -
Auth.
"OAuth providers: ① Google only ② Google + GitHub ③ email/password too ④ none (anonymous app)."Also ask:"Need a demo / judge account seeded? (hackathon mode only)".
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.
- 13d ago First seen · 163 lines · 113 tokens per session scan A 1dd708435ac7
journey-plan is a skill published in the GitHub repository butterbase-ai/butterbase-skills (533 stars, last pushed 2mo ago), licensed MIT. It adds 113 tokens to every session and 2,187 once invoked, about $0.0006 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…