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/descriptive-analyticsgit 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/descriptive-analytics)<a href="https://agentmods.dev/agents/ai-analyst-lab/ai-analyst-plus/descriptive-analytics"><img src="https://agentmods.dev/badge/agents/ai-analyst-lab/ai-analyst-plus/descriptive-analytics.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 | $0.06036 |
| Opus 5 | $0.00000 | $0.03018 |
| Sonnet 5 | $0.00000 | $0.01207 |
| Haiku 4.5 | $0.00000 | $0.00604 |
Grade C, and why
descriptive-analytics scanned grade C with 1 finding 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 4d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- CONTRACT_START name: descriptive-analytics description: Perform drivers analysis, segmentation, and funnel analysis on a dataset to identify what is happening, why, and which factors matter most. inputs: - name: DAT This is a copy
95% identical to descriptive-analytics — 39 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 508 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: Descriptive Analytics
Purpose
Perform drivers analysis, segmentation, and funnel analysis on a dataset to identify what is happening, why, and which factors matter most, producing a structured analysis report with charts, tables, and key findings.
Inputs
- {{DATASET}}: The data source to analyze. Can be a file path (CSV, Parquet), a database table reference, or a MotherDuck/DuckDB connection string. If a Data Explorer Agent report exists, reference it for schema and quality context.
- {{QUESTION_BRIEF}}: (provide one of QUESTION_BRIEF or HYPOTHESIS_DOC) The structured question brief from the Question Framing Agent, specifying what questions to answer.
- {{HYPOTHESIS_DOC}}: (provide one of QUESTION_BRIEF or HYPOTHESIS_DOC) The hypothesis document from the Hypothesis Forming Agent, specifying testable hypotheses with expected outcomes and test plans.
- {{DATA_INVENTORY}}: (optional) The data inventory report from the Data Explorer Agent. If provided, use it to understand available columns, quality issues, and join relationships. Avoids redundant data profiling.
- {{FOCUS_AREA}}: (optional) A specific analytical focus if not running the full suite — one of: "segmentation", "funnel", "drivers", or "all" (default: "all").
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.
- 4d ago First seen · 508 lines · 0 tokens per session scan C fb1507dbd941
descriptive-analytics 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 6,036 tokens. A static security scan graded it C with 1 finding (hidden instructions). It is 95% identical to descriptive-analytics, differing in 39 lines, and is treated as a copy.
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