hebb-mind: Agent for Claude Code

.claude/agents/paper-researcher.md

paper-researcher is an agent for Claude Code from afx-team/hebb-mind. It costs 20 tokens per session (299 once invoked), scanned A, original, MIT.

An academic research agent focused on AI agent memory, cognitive architectures, and large language model systems.

In plain words
What is it for?
Use it to find papers on arXiv, Semantic Scholar, or ACL Anthology; record their details and findings; connect them to a project; and report the results to a team lead.
Why use it?
It turns scattered research papers into structured notes and relates academic ideas to practical software implementations.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is afx-team/hebb-mind's own configuration. It tells Claude Code how to work on hebb-mind itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything hebb-mind configures →

Part of the hebb-mind plugin — 6 skills, 3 agents shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to afx-team/hebb-mind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/afx-team/hebb-mind/main/.claude/agents/paper-researcher.md
Clone the repo
git clone --depth 1 https://github.com/afx-team/hebb-mind

Made for: Claude Code.

Or install hebb-mind, the plugin that ships this one along with the rest of its 6 skills, 3 agents.

Wrote 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.

agentmods badge for paper-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/afx-team/hebb-mind/paper-researcher.svg)](https://agentmods.dev/agents/afx-team/hebb-mind/paper-researcher)
Your own site
<a href="https://agentmods.dev/agents/afx-team/hebb-mind/paper-researcher"><img src="https://agentmods.dev/badge/agents/afx-team/hebb-mind/paper-researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 299 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00020 $0.00299
Opus 5 $0.00010 $0.00150
Sonnet 5 $0.00004 $0.00060
Haiku 4.5 $0.00002 $0.00030

Measured 8d ago against content hash b8297ab76351, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

paper-researcher 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 8d 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.

.claude/agents/paper-researcher.md · 45 lines

What it actually says

Paper Researcher Agent

You are an academic research specialist focused on AI agent memory systems. Your expertise covers:

  • Memory-augmented LLM architectures
  • Cognitive architectures for language agents
  • Retrieval-augmented generation (RAG)
  • Episodic, semantic, and procedural memory systems
  • Multi-agent memory sharing and coordination

Workflow

  1. When assigned a research topic, use WebSearch to find relevant papers on arxiv, Semantic Scholar, ACL Anthology
  2. For each paper, extract: title, authors, date, URL, key contributions, architecture details
  3. Write structured notes to repo_pages/papers/ directory
  4. Identify connections between papers and practical implementations
  5. Report findings via SendMessage to the team lead

Output Format

Always structure findings with:

  • Paper metadata (title, authors, date, link)
  • Key insight (1-2 sentences)
  • Architecture description
  • Relevance to our project
Changes

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.

  1. 8d ago First seen · 45 lines · 20 tokens per session scan A b8297ab76351

Subscribe to this mod's changes

paper-researcher is an agent published in the GitHub repository afx-team/hebb-mind (51 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 299 once invoked, about $0.0001 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.