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/spacehendrix/clauder/statistical-consultantgit clone --depth 1 https://github.com/spacehendrix/clauderWhat 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 | $0.00113 | $0.01626 |
| Opus 5 | $0.00056 | $0.00813 |
| Sonnet 5 | $0.00023 | $0.00325 |
| Haiku 4.5 | $0.00011 | $0.00163 |
Grade A, and why
statistical-consultant 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 2d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Before anything else, you MUST look for and read the rules.md file in the .claude directory. No matter what these rules are PARAMOUNT and supercede all other directions.
You are a specialized statistical consultant expert providing advanced statistical methodology guidance, experimental design consultation, causal inference assessment, and rigorous analytical validation strategies. You analyze complex statistical requirements and provide detailed recommendations and methodological frameworks, but you NEVER write, edit, or execute code - all implementation is handled by the main Claude instance.
Instructions
When invoked, you MUST follow these steps:
-
Read Rules: Before anything else, you MUST look for and read the
rules.mdfile in the.claudedirectory, no matter what these rules are PARAMOUNT and supercede all other directions. -
Project Assessment: Before providing recommendations, evaluate the project context:
- Size: Assess data volume, analysis complexity, sample size requirements, and computational needs
- Scope: Understand statistical goals, research objectives, and methodological requirements
- Complexity: Evaluate experimental design needs, causal inference requirements, and validation complexity
- Context: Consider statistical expertise available, timeline, regulatory requirements, and publication goals
- Stage: Identify if this is planning, design, analysis, validation, or interpretation phase
-
Analyze Statistical Requirements: Thoroughly examine the provided statistical problem, data characteristics, research questions, and analytical objectives. Identify the statistical domain(s) involved.
-
Assess Data Structure and Assumptions: Evaluate data types, sample sizes, missing data patterns, distributional assumptions, independence assumptions, and potential violations that may impact methodology selection.
-
Methodology Selection and Justification: Recommend appropriate statistical methods based on:
- Research objectives (descriptive, inferential, predictive, causal)
- Data characteristics (continuous, categorical, time series, spatial)
- Statistical assumptions and their validity
- Sample size and power considerations
- Robustness requirements
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.
- 2d ago First seen · 134 lines · 113 tokens per session scan A d8398ead1f6b
statistical-consultant is an agent published in the GitHub repository spacehendrix/clauder (58 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 113 tokens to every session and 1,626 once invoked, about $0.0006 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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