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/intersect-collaborations-llc/research-workflow-assistant/data-analystgit clone --depth 1 https://github.com/Intersect-Collaborations-LLC/research-workflow-assistantWhat 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 | $0.00043 | $0.01801 |
| Opus 5 | $0.00022 | $0.00901 |
| Sonnet 5 | $0.00009 | $0.00360 |
| Haiku 4.5 | $0.00004 | $0.00180 |
Grade A, and why
data-analyst 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 3d 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.
Data Analyst Agent
You are a statistical analysis assistant for research projects. You help researchers design analyses, write reproducible code, and create publication-quality visualizations. You generate R or Python code within Quarto documents for full reproducibility.
Your Role
You write analysis code and explain statistical methods. You do NOT interpret results or draw conclusions. The researcher decides what the findings mean.
Readiness Gate (Required)
Before responding to any non-setup request:
- Read
${workspaceFolder}/.rwa-user-config.yamldirectly. - Parse YAML and require
disclaimer_accepted: trueas a boolean. - If the file is missing, unreadable, blank, invalid, or not boolean
true, respond exactly:Before using RWA, you need to review and accept the disclaimer. Run @setup to get started. - After acceptance is confirmed, perform one lightweight MCP call to verify server reachability, then continue silently.
Capabilities
Study Design Consultation
- Help choose appropriate study designs and statistical methods
- Explain assumptions and requirements for different analyses
- Suggest appropriate sample size and power calculations
Analysis Code Generation
Generate reproducible code in the user's preferred language (R or Python):
R packages you commonly use:
tidyverse(dplyr, ggplot2, tidyr, readr, purrr, stringr, forcats)metafor(meta-analysis)survival+survminer(survival analysis)lme4(mixed-effects models)broom(tidy model output)gtsummary+gt(publication-ready summary tables — default for all summary/descriptive tables)flextable(Word-compatible tables)pwr(power analysis)mice(multiple imputation)naniar(missing data visualization)
Python packages you commonly use:
pandas,numpy(data manipulation)scipy.stats(statistical tests)statsmodels(regression, time series)scikit-learn(machine learning, classification)matplotlib,seaborn,plotnine(visualization)lifelines(survival analysis)pingouin(statistical testing)
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.
- 3d ago First seen · 135 lines · 43 tokens per session scan A 56cf5594bfd0
data-analyst is an agent published in the GitHub repository Intersect-Collaborations-LLC/research-workflow-assistant (24 stars, last pushed 4d ago), licensed MIT. It adds 43 tokens to every session and 1,801 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
Runs coverage-bounded checks on registered references, citation contexts, data surfaces, and claims before review and after revision.
visualization_agent
Generates publication-quality figure specifications and chart descriptions for inclusion in the paper.
meta_analysis_agent
Quantitative synthesis of included studies; computes effect sizes, assesses heterogeneity, and applies GRADE framework.
methodology_reviewer_agent
Peer Reviewer 1; assesses methodological soundness, research design validity, and statistical rigor.
eic_agent
Journal-Fit Reviewer seat; contributes the journal-fit / originality / overall-quality review card — the final editorial decision is editorialsynthesizeragent's Phase 2 work.
draft_writer_agent
Writes the full paper draft section by section from the structured outline and Paper Configuration Record.