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/ai-analyst-lab/ai-analyst-plus/indexgit clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst-plusWrote 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/ai-analyst-lab/ai-analyst-plus/index)<a href="https://agentmods.dev/agents/ai-analyst-lab/ai-analyst-plus/index"><img src="https://agentmods.dev/badge/agents/ai-analyst-lab/ai-analyst-plus/index.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 | $0.00000 | $0.01992 |
| Opus 5 | $0.00000 | $0.00996 |
| Sonnet 5 | $0.00000 | $0.00398 |
| Haiku 4.5 | $0.00000 | $0.00199 |
Grade A, and why
INDEX 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Index
System Variables (auto-resolved)
| Variable | Value | Used in |
|---|---|---|
{{DATE}} |
Current date, YYYY-MM-DD | All agent output filenames |
{{DATASET_NAME}} |
Short name derived from data path or user input | File naming, report headers |
{{BUSINESS_CONTEXT_TITLE}} |
Short title derived from {{BUSINESS_CONTEXT}} |
Question brief header |
{{RUN_ID}} |
Unique run identifier (YYYY-MM-DD_question-slug) | Run Pipeline, Resume Pipeline |
{{RUN_DIR}} |
Per-run output directory path | All agents during pipeline |
{{SQL_PATTERNS}} |
Archaeology-retrieved SQL patterns | Analysis agents |
{{CORRECTIONS}} |
Logged corrections for current context | Analysis agents |
{{LEARNINGS}} |
Category-specific learnings | Question Framing, Storytelling |
{{ENTITY_INDEX}} |
Disambiguation index | Question Router |
{{ORG_CONTEXT}} |
Business context (glossary, products, teams) | Question Framing, Storytelling |
{{THEME}} |
Active theme name | Chart Maker, Deck Creator |
{{CONTEXT}} |
Presentation context (workshop/talk/analysis) | Story Architect, Deck Creator |
{{STORYBOARD}} |
Story Architect output | Chart Maker, Storytelling |
{{FIX_REPORT}} |
Visual Design Critic feedback | Chart Maker (fix pass) |
{{DECK_FILE}} |
Generated deck path | Visual Design Critic |
{{CONFIDENCE_GRADE}} |
Validation confidence score (A-F) | Storytelling, Deck Creator |
Agents
| Agent | Path | Invoke When |
|---|---|---|
| Question Framing | agents/question-framing.md |
User provides a business problem to analyze |
| Hypothesis | agents/hypothesis.md |
Questions are framed, need testable hypotheses |
| Data Explorer | agents/data-explorer.md |
Need to understand what data exists in a source |
| Descriptive Analytics | agents/descriptive-analytics.md |
Need to analyze a dataset (segmentation, funnels, drivers) |
| Overtime / Trend | agents/overtime-trend.md |
Need time-series analysis or trend identification |
| Cohort Analysis | agents/cohort-analysis.md |
Need cohort retention curves, LTV analysis, or vintage comparison |
| Root Cause Investigator | agents/root-cause-investigator.md |
Initial analysis found an anomaly — need to drill down iteratively to find the specific root cause |
| Opportunity Sizer | agents/opportunity-sizer.md |
Root cause identified or opportunity found — quantify the business impact with sensitivity analysis |
| Experiment Designer | agents/experiment-designer.md |
Need to test a causal hypothesis — designs A/B tests or quasi-experimental analyses with power estimation and decision rules |
| Story Architect | agents/story-architect.md |
Analysis is complete — designs the storyboard (narrative beats + visual mapping) before any charting. Pass {{CONTEXT}} for workshop/talk closing sequences. |
| Chart Maker | agents/chart-maker.md |
Need to generate a specific chart. |
| Visual Design Critic | agents/visual-design-critic.md |
After Chart Maker generates charts — reviews against SWD checklist. After Deck Creator — reviews slide-level design with {{DECK_FILE}} and {{THEME}}. |
| Narrative Coherence Reviewer | agents/narrative-coherence-reviewer.md |
After Story Architect produces the storyboard, before charting — reviews story flow, beat structure, and Closing beats if present |
| Storytelling | agents/storytelling.md |
Analysis and charts are complete, need a narrative |
| Cross-Verification | agents/cross-verification.md |
After analysis (step 6.5) — verify analytical claims via independent calculation paths (Types A-D: boundary, parts-to-whole, ratio recompute, algebraic identity). Includes reproducibility checks. |
| Receipt Generator | agents/receipt-generator.md |
After close-the-loop (step 18.5, conditional) — full audit trail for Reproduce audience. Query log, validation, cross-verification, reproducibility. Tier 3 or /export receipt. |
| Notion Export | agents/notion-export.md |
Export analysis to Notion page with charts, data stamps, provenance toggles, Analysis Gallery integration. Standalone, invoked via /export notion. |
| Validation | agents/validation.md |
Need to verify findings before presenting |
| Deck Creator | agents/deck-creator.md |
Need to create a presentation from analysis. Supports {{THEME}} (analytics-dark) and {{CONTEXT}} (workshop/talk closing sequence). |
| Comms Drafter | agents/comms-drafter.md |
Need stakeholder communications (Slack summary, email brief, exec summary). Non-critical — pipeline continues if this fails. |
| Google Slides Creator | agents/google-slides-creator.md |
Need a live, editable Google Slides deck (alternative to Deck Creator). Uses {{NARRATIVE}}, {{STORYBOARD}}, optional {{THEME}} (light/dark) and {{DECK_TITLE}}. Requires Google Workspace MCP. |
| Google Slides Reviewer | agents/google-slides-reviewer.md |
Auto-invoked after Google Slides Creator -- reviews formatting (overflow, overlap, fonts, colors) and self-applies fixes. Max 2 iterations. |
| Google Doc Creator | agents/google-doc-creator.md |
Need a live, editable Google Doc from analysis narrative + charts. Handles image placement (bottom-to-top), heading hierarchy, and formatting. Requires Google Workspace MCP. |
| Google Doc Reviewer | agents/google-doc-reviewer.md |
Auto-invoked after Google Doc Creator -- reviews heading hierarchy, image placement, spacing, formatting. Self-applies fixes. Max 2 iterations. |
| Experiment Analyzer | agents/experiment-analyzer.md |
Full experiment analysis — 8-question framework: SRM → treatment effect → reliability → segments → duration → ROI → recommendation → follow-ups. Takes raw experiment data, produces nuanced conditional recommendation. |
| Experiment Readout | agents/experiment-readout.md |
Transform experiment analysis into stakeholder-ready readout with executive summary, visualizations, per-segment decisions, ramp plan, and follow-up experiments. Adapts to audience (executive/technical/cross-functional). |
| Story Extractor | agents/story-extractor.md |
Find the 1-3 stories worth telling in messy input (analysis docs, data tables, bad decks). Scores findings on surprise, impact, relevance, evidence strength. The "editorial judgment" agent. |
| Presentation Doctor | agents/presentation-doctor.md |
Orchestrator: diagnose → extract → transform. Coordinates deck-critique, story-extractor, and deck-rescue/slide-transform into one pipeline. Includes presenter coaching notes. |
| Hypothesis Sharpener | agents/hypothesis-sharpener.md |
Takes a vague hunch and transforms it into a testable hypothesis with precise metrics, comparison groups, natural experiments, and accept/reject criteria. Called by /analysis-design skill. |
| Confound Scanner | agents/confound-scanner.md |
Adversarial agent that finds threats to validity — concurrent changes, data quality issues, selection biases. Argues AGAINST the hypothesis to make the investigation airtight. Called by /analysis-design skill. |
| Feedback Synthesizer | agents/feedback-synthesizer.md |
Takes V1 findings + messy stakeholder feedback, categorizes it (methodological flaws, missing confounds, reframes, new analyses), and produces a structured V2 investigation plan with stakeholder answer map. Called by /analysis-design skill. |
| Experiment Interpreter | agents/experiment-interpreter.md |
Walks the Result Interpretation Tree (positive/null/negative/mixed) and applies EwL framework (Ship/Abort/Learn/Invalid). Called by /experiment interpret. |
| Experiment Monitor | agents/experiment-monitor.md |
Daily monitoring: SRM trending, guardrail status, sample accumulation, power projection. Called by /experiment monitor. |
| Causal Method Selector | agents/causal-method-selector.md |
Interactive 8-question decision tree to recommend the right causal method (DiD, PSM, pre-post, regression). Called by /causal select. |
| Causal Analyzer | agents/causal-analyzer.md |
Executes the selected causal method using helpers/experiment_stats/causal/. Called by /causal analyze. |
| Causal Assumption Checker | agents/causal-assumption-checker.md |
Per-method diagnostic battery (parallel trends, common support, balance). Called by /causal check. |
| Causal Sensitivity | agents/causal-sensitivity.md |
Rosenbaum bounds, E-value, placebo tests with plain-language translations. Called by /causal sensitivity. |
| Causal Interpreter | agents/causal-interpreter.md |
Places estimate on the confidence ladder and synthesizes verdicts. Called by /causal report. |
| Causal Report Generator | agents/causal-report-generator.md |
Full report with mandatory caveats per method (non-negotiable). Called by /causal report. |
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 · 65 lines · 0 tokens per session scan A a4a8e39804f0
INDEX is an agent published in the GitHub repository ai-analyst-lab/ai-analyst-plus (19 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,992 tokens. 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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