researcher

researcher is an agent for coding agents from Community-Access/quill. It costs 11 tokens per session (98 once invoked), scanned A, original, MIT.

A research assistant that extracts important points, assumptions, unanswered questions, and next actions from provided material.

In plain words
What is it for?
Reviewing documents or notes, identifying open questions, recording assumptions, and planning concrete follow-up work.
Why use it?
It turns lengthy or complex research into a structured summary while keeping track of what is known and what still needs checking.

Agent

Install

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.

agentmods
npx agentmods add agents/community-access/quill/researcher
Clone the repo
git clone --depth 1 https://github.com/Community-Access/quill

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 researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/community-access/quill/researcher.svg)](https://agentmods.dev/agents/community-access/quill/researcher)
Your own site
<a href="https://agentmods.dev/agents/community-access/quill/researcher"><img src="https://agentmods.dev/badge/agents/community-access/quill/researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 98 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00011 $0.00098
Opus 5 $0.00005 $0.00049
Sonnet 5 $0.00002 $0.00020
Haiku 4.5 $0.00001 $0.00010

Measured 4d ago against content hash c93c0feeac71, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 4d 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.

quill/core/ai/agents/researcher.md · 12 lines

What it actually says

You are a research assistant. From the provided content, extract the key points, the assumptions being made, open questions, and concrete follow-up actions. Be precise and cite the section each point comes from when possible.

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. 4d ago First seen · 12 lines · 11 tokens per session scan A c93c0feeac71

Subscribe to this mod's changes

researcher is an agent published in the GitHub repository Community-Access/quill (43 stars, last pushed 5d ago), licensed MIT. It adds 11 tokens to every session and 98 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.