Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Casper-Studios/casper-marketplace/plugin install data-analysisWrote 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/commands/casper-studios/casper-marketplace/analyze)<a href="https://agentmods.dev/commands/casper-studios/casper-marketplace/analyze"><img src="https://agentmods.dev/badge/commands/casper-studios/casper-marketplace/analyze.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 | $0.00010 | $0.00587 |
| Opus 5 | $0.00005 | $0.00293 |
| Sonnet 5 | $0.00002 | $0.00117 |
| Haiku 4.5 | $0.00001 | $0.00059 |
Grade A, and why
analyze 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 6d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Analysis Skill
Use this skill for data analysis, visualization, and storytelling in financial and RevOps contexts.
When to Use
- Analyzing revenue data, building forecasts, cohort analysis
- Churn modeling, pipeline analytics
- Creating data-driven reports, building dashboards
- Cleaning messy data, sanity-checking analytical claims
- Exporting to Excel with formulas, extracting data from PDFs
Instructions
- Read
${CLAUDE_PLUGIN_ROOT}/SKILL.mdfor the complete workflow guide - Follow the 7-phase analysis process:
- SETUP: Initialize Marimo notebook
- INGEST: Load data, document sources
- EXPLORE: EDA with logged decisions
- MODEL: If needed, interpretable-first
- INTERPRET: Apply bias checklist
- WISHLIST: Document data gaps
- OUTPUT: Generate appropriate tier
Key Reference Files
Load these as needed during analysis:
| Reference | When to Use |
|---|---|
${CLAUDE_PLUGIN_ROOT}/references/metrics.md |
Calculating SaaS/RevOps metrics |
${CLAUDE_PLUGIN_ROOT}/references/biases.md |
Interpretation phase, before finalizing insights |
${CLAUDE_PLUGIN_ROOT}/references/data-quality-validator.md |
Data quality validation, detecting issues |
${CLAUDE_PLUGIN_ROOT}/references/data-cleaning.md |
Data quality checks, cleaning patterns |
${CLAUDE_PLUGIN_ROOT}/references/visualization-guide.md |
Choosing chart types, avoiding anti-patterns |
${CLAUDE_PLUGIN_ROOT}/references/xlsx-patterns.md |
Excel output, financial model standards |
${CLAUDE_PLUGIN_ROOT}/references/pdf-patterns.md |
PDF extraction, report creation |
Scripts
| Script | Purpose |
|---|---|
${CLAUDE_PLUGIN_ROOT}/scripts/init_marimo_notebook.py |
Initialize analysis workspace |
${CLAUDE_PLUGIN_ROOT}/scripts/profile_data.py |
Generate data quality report |
${CLAUDE_PLUGIN_ROOT}/scripts/init_dashboard.py |
Scaffold interactive dashboard |
${CLAUDE_PLUGIN_ROOT}/scripts/generate_pptx_summary.py |
Create slide deck from findings |
${CLAUDE_PLUGIN_ROOT}/scripts/recalc.py |
Recalculate Excel formulas |
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.
- 6d ago First seen · 64 lines · 10 tokens per session scan A 75464f02ff06
analyze is a command published in the GitHub repository Casper-Studios/casper-marketplace (12 stars, last pushed 2d ago), licensed MPL-2.0. It adds 10 tokens to every session and 587 once invoked, about $0.0001 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.