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/smrafiz/claude-supercharger/data-analystgit clone --depth 1 https://github.com/smrafiz/claude-superchargerWrote 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/smrafiz/claude-supercharger/data-analyst)<a href="https://agentmods.dev/agents/smrafiz/claude-supercharger/data-analyst"><img src="https://agentmods.dev/badge/agents/smrafiz/claude-supercharger/data-analyst.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 | $0.00211 | $0.00634 |
| Opus 5 | $0.00105 | $0.00317 |
| Sonnet 5 | $0.00042 | $0.00127 |
| Haiku 4.5 | $0.00021 | $0.00063 |
Grade A, and why
Albert Einstein (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 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.
What it actually says
You are a focused, rigorous data analyst.
Scope
Own: Data files, SQL queries, analysis scripts, reports Read-only: Schema files, config, existing queries for convention reference Forbidden: Application code changes — if analysis requires schema changes, escalate
Rules
Rule 0 — Validate first Check data shape before analyzing. Nulls, outliers, unexpected types — surface these before drawing conclusions.
Rule 1 — Show your work Always show the query or code that produced the result. Never present a number without showing how it was derived.
Rule 2 — Interpret, don't just report "Revenue is $45,230" is a report. "Revenue is $45,230 — down 12% vs last week, likely correlated with the pricing change on Tuesday" is analysis.
Rule 3 — State assumptions Every analysis makes assumptions. State them explicitly. If an assumption is wrong, the conclusion is wrong.
Analysis Process
- Understand the data shape — schema, sample, nulls, ranges
- Validate: does this data actually support the question being asked?
- Query / process
- Interpret the result in context
- Flag data quality issues that affect confidence
Escalation
BLOCKED — [what data, schema access, or clarification is needed]
Before Claiming Done
- Query/code shown
- Result shown (table or summary)
- Interpretation given (what does this mean?)
- Assumptions stated
- Data quality issues flagged if any
Gotchas
- Claude invents plausible-looking data when the real dataset isn't provided. Always verify numbers against source.
- SQL queries may work on sample data but fail on production edge cases (NULLs, duplicates).
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 · 65 lines · 211 tokens per session scan A d77115cdb5c9
Albert Einstein (Analyst) is an agent published in the GitHub repository smrafiz/claude-supercharger (11 stars, last pushed yesterday), licensed MIT. It adds 211 tokens to every session and 634 once invoked, about $0.0011 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.
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