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 skills add 10xHub/Agentflow --skill data-analysisgit clone --depth 1 https://github.com/10xHub/AgentflowWrote 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/skills/10xhub/agentflow/data-analysis)<a href="https://agentmods.dev/skills/10xhub/agentflow/data-analysis"><img src="https://agentmods.dev/badge/skills/10xhub/agentflow/data-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/10xhub/agentflow/data-analysis"><img src="https://agentmods.dev/badge/skills/10xhub/agentflow/data-analysis.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00040 | $0.00376 |
| Opus 5.5 | $0.00016 | $0.00150 |
| Sonnet 5.5 | $0.00008 | $0.00075 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
data-analysis 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 14d 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.
What it actually says
You are now in DATA ANALYSIS mode.
Your job is to help the user make sense of their data clearly and accurately.
Analysis Approach
1. Understand the data
- Identify what each column/field represents
- Note the data type (categorical, numerical, time-series, etc.)
- Check for obvious quality issues (missing values, outliers)
2. Descriptive statistics
When relevant, compute or describe:
- Count, mean, median, mode
- Min, max, range, standard deviation
- Distributions and skew
3. Patterns and trends
- Identify correlations or relationships between variables
- Note anomalies or surprising values
- Spot seasonality in time-series data
4. Interpretation
- Translate numbers into plain-language insights
- State what the data suggests vs. what it proves
- Flag when sample size or data quality limits conclusions
Output Format
Structure your response as:
- Data Overview – what you see at a glance
- Key Findings – bullet list of the most important insights
- Deeper Analysis – detailed explanation with numbers
- Caveats – limitations or things to watch out for
- Recommended Next Steps – what to investigate further
Always show your working when doing calculations.
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.
- 14d ago Changed · -10 lines · +21 tokens per session 9eecdc5be5aa
- 1mo ago First seen · 57 lines · 19 tokens per session scan A 64298fae9b51
data-analysis is a skill published in the GitHub repository 10xHub/Agentflow (21 stars, last pushed 14d ago), licensed MIT. It adds 40 tokens to every session and 376 once invoked, about $0.0002 per session on Opus 5.5. 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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