Borrowing it
Nothing to install: this file belongs to lucafusarbassini/research-automation. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lucafusarbassini/research-automation/master/CLAUDE.mdgit clone --depth 1 https://github.com/lucafusarbassini/research-automationWrote 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/instructions/lucafusarbassini/research-automation/claude-md)<a href="https://agentmods.dev/instructions/lucafusarbassini/research-automation/claude-md"><img src="https://agentmods.dev/badge/instructions/lucafusarbassini/research-automation/claude-md/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/instructions/lucafusarbassini/research-automation/claude-md"><img src="https://agentmods.dev/badge/instructions/lucafusarbassini/research-automation/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00904 | $0.00904 |
| Opus 5 | $0.00452 | $0.00452 |
| Sonnet 5 | $0.00181 | $0.00181 |
| Haiku 4.5 | $0.00090 | $0.00090 |
Grade A, and why
research-automation 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 10d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ricet - Research Automation Framework
Project overview
ricet automates the full lifecycle of scientific research: literature search, experiment tracking,
reproducibility, paper generation, and knowledge accumulation. The central innovation is the
persistent Encyclopedia (knowledge/ENCYCLOPEDIA.md) with vector search -- insights compound
across sessions instead of being lost.
Documentation: https://lucafusarbassini.github.io/research-automation/
claude-flow MCP
claude-flow (ruflo) is available as an MCP server (claude-flow in claude mcp list).
Use its tools via mcp__claude-flow__* for:
- Memory --
memory_store,memory_search,memory_retrieve,memory_listStore and retrieve patterns, solutions, decisions across sessions with HNSW vector search. - Sessions --
session_save,session_restore,session_listPersist and restore conversation state. - Swarm coordination --
swarm_init,swarm_status,agent_spawn,agent_listMulti-agent orchestration when tasks touch 3+ files or need parallel work.
Use these tools naturally when relevant. For simple tasks, just work directly.
Workflow habits
- Before starting non-trivial work, search memory:
mcp__claude-flow__memory_searchfor relevant past patterns. - After solving something tricky, store it:
mcp__claude-flow__memory_storewith namespace "patterns". - For complex multi-file tasks, spawn background agents via the Agent tool with
run_in_background: true, all in one message. Tell the user what's running, then wait.
File organization
Never save working files to the root folder. Use: core/, cli/, tests/, docs/, config/, scripts/, knowledge/, state/.
User-specific behavioral rules
Captured automatically from past corrections. Obey these without question:
@knowledge/RULES.md
General rules
- Do what is asked; nothing more, nothing less.
- Never proactively create documentation files unless explicitly requested.
- Use Opus 4.6 with default medium thinking for everything -- no model routing.
- Batch parallel operations in a single message when possible.
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.
- 10d ago First seen · 67 lines · 904 tokens per session scan A fad86301a070
research-automation CLAUDE.md is an instructions file published in the GitHub repository lucafusarbassini/research-automation (5 stars, last pushed 3mo ago), licensed MIT. It adds 904 tokens to every session, about $0.0045 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 2026-08-31.
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