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 instructions/bearlike/assistant/claude-mdgit clone --depth 1 https://github.com/bearlike/AssistantWhat 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 | $0.06737 | $0.06737 |
| Opus 5 | $0.03368 | $0.03368 |
| Sonnet 5 | $0.01347 | $0.01347 |
| Haiku 4.5 | $0.00674 | $0.00674 |
Grade A, and why
Assistant CLAUDE.md 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents Guide — Mewbo
MANDATORY: Hydrate before touching files
At the start of every conversation and every non-trivial task, ask a configured code-wiki MCP tool a question about bearlike/Assistant — try the primary configured one first, falling back to a secondary if one is configured. Use read_wiki_structure → read_wiki_contents for deeper exploration. Only read local files after hydration. Include this directive in subagent prompts.
Wikis lag the repo. Use them for intuition; verify structure against local source.
What Mewbo is
An AI assistant modelled as a conversation state machine with a hierarchical agent hypervisor. Core engine: a single async ToolUseLoop bound to an LLM via native bind_tools. Sub-agents admitted via spawn_agent, tracked by AgentHypervisor, resolved into one of four terminal states (completed, failed, cancelled, rejected). Interfaces: CLI, web console, REST API, Home Assistant, Nextcloud Talk — all share the core engine. For architecture details, query the wiki.
Monorepo layering — read before adding a module
Dependencies flow strictly down this DAG; never up, not even a lazy try/except ImportError:
mewbo_core (lean SDK) → mewbo_tools · mewbo_graph · mewbo_iam → apps
mewbo_core— lean orchestration SDK: generic, dependency-light primitives only. No product/graph code; heavy optional deps go behind amewbo-core[...]extra.mewbo_tools— subprocess/remote integrations (MCP, LSP, file edit). Deps core only.mewbo_graph— optional capability library (graph, memory, embedding, SCG). Heavy deps behind extras + import-guards. Deps core only; never an app.mewbo_iam— optional identity kernel (principals, authenticators, roles, teams, grants, audit). Base deps are core + pydantic and NOTHING else; the network/crypto provider legs sit behind theoidc/ldap/samlextras. Deps core only; never an app.- apps — thin product surfaces: HTTP routes, wire contracts, transport, glue. Compose libraries; never host a reusable engine.
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 · 229 lines · 6,737 tokens per session scan A e01a86d81b97
Assistant CLAUDE.md is an instructions file published in the GitHub repository bearlike/Assistant (41 stars, last pushed 9d ago), licensed MIT. It adds 6,737 tokens to every session, about $0.0337 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 instructions, from other repositories
openai-agents-python AGENTS.md
AGENTS.md instructions for openai/openai-agents-python, covering contributor guide, policies & mandatory rules, mandatory skill usage, work status reporting and git worktree and branch safety.
oracle AGENTS.md
AGENTS.md instructions for steipete/oracle, a project described as: Ask the oracle when you're stuck. Invoke GPT-5 Pro with a custom context and files.
PanWatch CLAUDE.md
Instructions for TNT-Likely/PanWatch, covering claude.md, what is panwatch, build & run commands, backend and frontend.
AI-Gateway AGENTS.md
Instructions for Azure-Samples/AI-Gateway, covering agents.md, directory structure, labs/, modules/ and shared/.
PanWatch AGENTS.md
Instructions for TNT-Likely/PanWatch, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.
opengeni AGENTS.md
Instructions for Cloudgeni-ai/opengeni, covering agent / automation notes (opengeni), full local stack, architecture notes, pull-request delivery across moving main and keeping these notes current.