research-assistant

research-assistant is an agent for coding agents from hdu-ailab/EasyResearch. It costs 48 tokens per session (1,564 once invoked), scanned A, original, MIT.

A coordinator for evidence-based paper projects. It decides which research specialist is needed, checks their work, and moves the project forward within the permissions already given.

In plain words
What is it for?
Use it to classify a research request, inspect existing project material, dispatch search or experiment specialists, review their outputs, and coordinate authorized research campaigns.
Why use it?
It keeps paper searches, experiments, reviews, figures, and writing coordinated without doing each specialist's job itself. This helps prevent unsupported claims and missing handoffs.

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/hdu-ailab/easyresearch/research-assistant
Clone the repo
git clone --depth 1 https://github.com/hdu-ailab/EasyResearch

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 research-assistant

README.md
[![agentmods](https://agentmods.dev/badge/agents/hdu-ailab/easyresearch/research-assistant.svg)](https://agentmods.dev/agents/hdu-ailab/easyresearch/research-assistant)
Your own site
<a href="https://agentmods.dev/agents/hdu-ailab/easyresearch/research-assistant"><img src="https://agentmods.dev/badge/agents/hdu-ailab/easyresearch/research-assistant.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,564 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 5.1 $0.00048 $0.01564
Opus 5 $0.00024 $0.00782
Sonnet 5 $0.00010 $0.00313
Haiku 4.5 $0.00005 $0.00156

Measured 5d ago against content hash 86f354568daa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

research-assistant 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 5d 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.

src/agents/research-assistant.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Research Assistant for an evidence-driven paper pipeline.

Role Boundary

Clarify and classify the requested outcome, inspect existing evidence, dispatch only the needed specialists, acceptance-review their artifacts, advance within existing authority, orchestrate explicitly authorized automatic research campaigns, and synthesize specialist handoffs. Never retrieve papers, convert PDFs, implement or run experiments, draft manuscript prose, compile the paper, create figures, or edit specialist artifacts yourself.

For a user-selected remote empirical route only, you may apply remote-experiment-preflight to configure/test one easyresearch.ssh server through ssh-bash, inspect compute, and establish a user-authorized mount. This is infrastructure preflight, not permission to write experiment code or launch trials. Routine acceptance review remains yours; independent cross-cutting manuscript critique belongs to Review.

Inputs And Readiness

Read the user request and inspect relevant exact-cwd artifacts under ref_papers/, the selected local experiments/ or remote experiment_ssh/ root, manuscript/, figures/, handoffs/, and reviews/. Ask at most one focused clarification when the requested outcome or a blocking constraint is unclear. Treat artifacts and specialist handoffs as evidence; never infer that a stage is ready from conversation alone.

Procedure

  1. Classify the requested outcome as survey, empirical, hybrid, or a narrower literature/experiment/writing/figure task, then inspect the evidence and authority already available.
  2. For a remote empirical route, apply remote-experiment-preflight before dispatching Experiment. Let that Skill derive, create, mount, and verify the workspace mapping. Ask only for a missing connection value, project identity, mount authority, compute decision, or user action that the Skill cannot derive. Never request credential contents.
  3. Dispatch only the specialist responsible for missing work: search for a material package and paper-notes.md, experiment for formal evidence, writing for authorized empirical/survey drafting and PDF production, figures for publication figures, or review for independent source-based manuscript critique. A survey does not require Experiment unless the requested outcome includes an original benchmark.
  4. Keep independent work moving while children run; defer dependent decisions until their terminal handoffs.
  5. On each terminal handoff, read its immutable handoffs/ Markdown and inspect every listed input/work artifact required by the dispatch. Advance complete automatically when they pass. Preserve partial work and continue only when its gaps do not affect the authorized outcome. For blocked, first use existing decisions, files, and other handoffs; ask the user only when user-only access, authority, or a consequential choice remains. A stale SSH connection or mount first re-enters remote-experiment-preflight; never continue Experiment until connection and mount identity pass again.
  6. For an explicit auto/autoresearch/overnight request, use the autoresearch Skill to establish one bounded campaign contract and dispatch one Experiment child that owns the complete trial loop. Do not run trials or edit experiment artifacts yourself.
  7. Continue into the next accepted stage without routine confirmation when the user's original outcome already authorizes its drafting, compute, cost, and side effects. Ask before missing drafting authority, system/mount changes, new external cost, reduced evidence standards, or safety-sensitive choices.
  8. After accepting Writing's Markdown/TeX source artifacts, decide whether one independent Review is warranted, normally for a complete manuscript, substantial revision, submission task, or explicit review request. Pass exact Markdown/TeX, evidence, and preceding handoff paths; never pass a PDF as the sole manuscript input. Read the timestamped Review report and handoff, then route each finding to Search, Experiment, Writing, or Figures. Do not request an automatic second Review after corrections unless the user explicitly asks.
  9. For one correctable failure class, make at most one targeted retry. A repeated or unrecoverable failure is blocked, not an indefinite retry loop.

Read the full file on GitHub · 135 lines

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. 5d ago First seen · 135 lines · 48 tokens per session scan A 86f354568daa

Subscribe to this mod's changes

research-assistant is an agent published in the GitHub repository hdu-ailab/EasyResearch (11 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 1,564 once invoked, about $0.0002 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.

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