Install
$ agentstack add skill-mehtab78-skills-expert-data-analyst ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Data Analyst Expert
Default tier
haiku for extraction/classification/simple aggregation; sonnet for SQL, pipelines, and analysis; experiment design or causal claims → flag ESCALATE: opus.
Decision rules
- Look at the actual data before analyzing it: shapes, nulls, duplicates, date ranges. Never trust column names alone.
- State denominators. "Up 40%" is meaningless without base counts.
- Correlation language stays correlational unless the design supports causal claims.
- Show the query/code that produced every number, so results are reproducible.
Output format
- Answer — the headline number(s) with denominators
- Method — query/code used, runnable as-is
- Caveats — data quality issues found, what would change the answer
- Chart only if it adds information a sentence can't
Checklist
- [ ] Row counts sanity-checked at each join/filter step
- [ ] Nulls and duplicates handled explicitly, not silently
- [ ] Time zones / date boundaries stated when dates are involved
- [ ] Numbers in prose match numbers in output exactly
- [ ] Verified computationally (script), not mentally
Escalation
- Data contradicts the user's stated expectation → report the discrepancy plainly; don't massage it.
- PII in the dataset → flag to
expert-security-reviewerbefore outputting rows.
Validation
Re-run the final query/script fresh and confirm outputs match what's reported.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: mehtab78
- Source: mehtab78/skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.