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-docsgit 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-docs)<a href="https://agentmods.dev/skills/butterbase-ai/butterbase-skills/journey-docs"><img src="https://agentmods.dev/badge/skills/butterbase-ai/butterbase-skills/journey-docs/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-docs"><img src="https://agentmods.dev/badge/skills/butterbase-ai/butterbase-skills/journey-docs.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 | $0.00062 | $0.00531 |
| Opus 5 | $0.00031 | $0.00266 |
| Sonnet 5 | $0.00012 | $0.00106 |
| Haiku 4.5 | $0.00006 | $0.00053 |
Grade A, and why
journey-docs 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 11d 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.
What it actually says
Journey Docs Gate
A short, mechanical priming step. The goal is that every downstream stage starts with the relevant docs already in the conversation, so the model doesn't invent API shapes.
When to use
Invoke automatically after journey-preflight returns. Also invoke standalone (/butterbase-skills:journey-docs) any time the user changes the plan or you realize a stage is using a capability you haven't refreshed this session.
Procedure
-
Read the plan. Open
docs/butterbase/02-plan.md. Identify every Butterbase capability in use (Tables → schema; RLS → auth; Auth → auth; Storage → storage; Functions → functions; AI → ai; RAG → rag; Realtime → realtime; Durable → functions; Frontend → frontend; Integrations → integrations; Substrate → substrate; Payments → billing). -
Call
butterbase_docsper topic. For each unique topic from step 1, callbutterbase_docswith thattopicargument. Skip duplicates. -
Write the cache file. Create
docs/butterbase/03b-docs-cache.mdwith this structure:--- primed_at: <ISO timestamp> topics: [<comma-separated list>] --- # Docs Cache ## <topic-1> <one-paragraph summary of what the MCP doc says — key endpoints, common patterns, gotchas> URL: https://docs.butterbase.ai/<area> ## <topic-2> ... -
Update
00-state.md. Tick thedocsrow. -
Return. One-line summary:
"Primed docs for: schema, auth, storage, functions. Cache at docs/butterbase/03b-docs-cache.md."
Anti-patterns
- ❌ Calling
butterbase_docswithtopic: "all". Burns context. Call once per relevant topic instead. - ❌ Skipping the cache file. Other stages re-read it; in-memory only doesn't survive context compression.
- ❌ Calling for topics not in the plan. We're priming, not exhaustive.
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.
- 11d ago First seen · 47 lines · 62 tokens per session scan A d1eba2b51043
journey-docs is a skill published in the GitHub repository butterbase-ai/butterbase-skills (533 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 531 once invoked, about $0.0003 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.
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