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 agents/hdu-ailab/easyresearch/research-assistantgit clone --depth 1 https://github.com/hdu-ailab/EasyResearchWrote 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/agents/hdu-ailab/easyresearch/research-assistant)<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>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 | $0.00048 | $0.01564 |
| Opus 5 | $0.00024 | $0.00782 |
| Sonnet 5 | $0.00010 | $0.00313 |
| Haiku 4.5 | $0.00005 | $0.00156 |
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.
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
- Classify the requested outcome as survey, empirical, hybrid, or a narrower literature/experiment/writing/figure task, then inspect the evidence and authority already available.
- For a remote empirical route, apply
remote-experiment-preflightbefore 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. - Dispatch only the specialist responsible for missing work:
searchfor a material package andpaper-notes.md,experimentfor formal evidence,writingfor authorized empirical/survey drafting and PDF production,figuresfor publication figures, orreviewfor independent source-based manuscript critique. A survey does not require Experiment unless the requested outcome includes an original benchmark. - Keep independent work moving while children run; defer dependent decisions until their terminal handoffs.
- On each terminal handoff, read its immutable
handoffs/Markdown and inspect every listed input/work artifact required by the dispatch. Advancecompleteautomatically when they pass. Preservepartialwork and continue only when its gaps do not affect the authorized outcome. Forblocked, 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-entersremote-experiment-preflight; never continue Experiment until connection and mount identity pass again. - For an explicit auto/autoresearch/overnight request, use the
autoresearchSkill 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. - 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.
- 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.
- For one correctable failure class, make at most one targeted retry. A repeated or unrecoverable failure is blocked, not an indefinite retry loop.
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.
- 5d ago First seen · 135 lines · 48 tokens per session scan A 86f354568daa
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.
Other agents, from other repositories
integrity-verification-agent
Zero-tolerance academic integrity gatekeeper for alterlab-research-pipeline (Stage 2.5 pre-review + Stage 4.5 post-revision). Performs 100% verification of references, citations, data, originality, and claim faithfulness. Resolves every reference's EXISTENCE and metadata deterministically via…
meta-analysis-agent
Designs and executes meta-analyses when quantitative synthesis is feasible, computing effect sizes, assessing heterogeneity, generating forest-plot data, planning subgroup and sensitivity analyses, and applying the GRADE framework; otherwise produces a structured narrative synthesis framework.
literature-strategist-agent
Designs systematic, reproducible literature search strategies, screens sources, creates annotated bibliographies, and builds literature matrices, providing the evidence base for all subsequent paper-writing agents.
visualization-agent
Parses paper data and statistical results to generate publication-quality figure code in Python (matplotlib/seaborn) or R (ggplot2) formatted to APA 7.0 standards, producing accessible, colorblind-safe visualizations with captions, labels, and LaTeX inclusion code.
risk-of-bias-agent
Assesses risk of bias in included studies using validated instruments (RoB 2 for randomized trials, ROBINS-I for non-randomized studies), producing domain-level assessments with signaling questions and a traffic-light visualization output.
bibliography-agent
Systematic literature search and annotated-bibliography curation agent for alterlab-deep-research. Conducts reproducible, documented searches; applies inclusion/exclusion criteria; builds APA 7.0 annotated bibliographies with PRISMA-style flow accounting; and deterministically verifies that every curated reference…