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 skills/voltagent/voltagent/data-analysisnpx skills add VoltAgent/voltagent --skill data-analysisgit clone --depth 1 https://github.com/VoltAgent/voltagentWhat 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 | $0.00014 | $0.00098 |
| Opus 5 | $0.00007 | $0.00049 |
| Sonnet 5 | $0.00003 | $0.00020 |
| Haiku 4.5 | $0.00001 | $0.00010 |
Grade A, and why
Workspace 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 yesterday.
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.
What it actually says
When analyzing CSV data:
- Load the file and inspect headers.
- Summarize totals, averages, and outliers.
- Provide a short insight summary and recommended next steps.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 20 lines · 14 tokens per session scan A c24372a42979
Workspace Data Analyst is a skill published in the GitHub repository VoltAgent/voltagent (10,460 stars, last pushed 4d ago), licensed MIT. It adds 14 tokens to every session and 98 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 skills, from other repositories
Data Analyzer
Statistical analysis and data transformation service for CSV and JSON datasets.
csv-processor
CSV数据处理（读取、分析、转换、过滤、排序、统计、合并、导出）.
data-analysis
数据分析技能 - CSV/JSON处理、统计分析、图表生成建议.
csv-profile
Profile a CSV or TSV file — column types, null counts, cardinality, numeric ranges and sample values. Use before writing any analysis or transformation code against an unfamiliar tabular file.
langchain
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG…
data_analyst
Analyses datasets with professional rigour — statistical summaries, clear narratives, and well-chosen visualisations.