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 agents/ccdawn/vibelution/domaingit clone --depth 1 https://github.com/CCDawn/VibelutionWhat 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 | $0.00000 | $0.02988 |
| Opus 5 | $0.00000 | $0.01494 |
| Sonnet 5 | $0.00000 | $0.00598 |
| Haiku 4.5 | $0.00000 | $0.00299 |
Grade A, and why
domain 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.
How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vibelution Domain Context
This document defines the canonical domain language for Vibelution so architecture work can use stable names for the same concepts. It is intentionally small: add terms when they become load-bearing in design or tests.
Language
Agent Runtime
Vibelution: A self-evolving AI Agent system that can inspect, change, validate, and restart its own project. Avoid: App, bot, assistant
Agent: The runtime persona that receives a goal, builds context, calls the LLM, chooses tools, and produces user-facing output. Avoid: Bot, model, executor
Turn: One goal-processing cycle in which the Agent builds messages, invokes the LLM, processes tool calls, and reports an outcome. Avoid: Loop, request, iteration
Tool: A callable capability exposed to the Agent for reading, modifying, searching, validating, or controlling the project. Avoid: Command, function, action
Tool Call: A single invocation of a Tool with concrete arguments and a recorded result. Avoid: Command run, operation
Project Agent Bus: The project-wide Agent communication surface that records shared guidance, resolves mentions, fans out inbox delivery to active Agents, and supports recall/stop requests without scheduling a meeting. Avoid: Group chat, room, meeting scheduler
Team Broadcast: A Project Agent Bus event scoped by Team metadata so a selected Agent Team can receive, observe, and revoke a shared instruction through the same bus timeline. Avoid: Separate team chat, ad hoc message list
Agent Collaboration Message: A point-to-point collaboration send from one Agent runtime to a concrete Session. The Session conversation history is the single source of truth for collaboration body (user-visible and model context). The Agent Inbox keeps only a delivery index/log (pointer + status), not a second full body. Default policy is immediate wake of that target Session. Addressing requires an explicit target session id (see ADR 0002). Avoid: Agent-only DM without session, mailbox-as-only-UX, dual-write of body, implicit direct-session fallback
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 · 248 lines · 0 tokens per session scan A 6c8d05330702
domain is an agent published in the GitHub repository CCDawn/Vibelution (21 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,988 tokens. 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 agents, from other repositories
medical-learning-safety-reviewer
审校医学学习草稿的来源、教育边界、患者隐私和输出风险；只返回审校意见，不处理外部动作或状态写入。.
guideline-learning-designer
将主助手已核验的指南材料组织成安全、可继续展开的学习地图、流程关系、学习诊断或复习路径；不处理真实患者决策。.
ingest-confluence
Ingest one Confluence page into an AKB vault as a five-section LLM-wiki summary document, fetched live via the Atlassian MCP server.
ingest-doc
Ingest one document (local file or web URL) into an AKB vault as a five-section LLM-wiki summary page, optionally preserving the original bytes in the raw file layer.
ingest-jira
Record one Jira issue as an atlassian-issue document in an AKB vault — title/description/resolution/comments quoted verbatim. Fetched live via the Atlassian MCP server; always upsert.
ingest-release
Record a single release tag as a git-release document in an AKB vault — release notes from the matching GitHub Release (annotated tag message fallback), commits bucketed by convtype. Requires range commits pre-ingested.