Data Pipeline
ETL and data transformation: CSV, JSON, Parquet, NDJSON processing with filtering, mapping, joining, aggregating.
Install
$ agentstack add skill-jansenanalytics-claudex-data-pipeline ✓ 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.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-jansenanalytics-claudex-data-pipeline) 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-pipeline
ETL and data transformation: CSV, JSON, Parquet, NDJSON processing with filtering, mapping, joining, aggregating.
When to Use
- Converting between data formats (CSV ↔ JSON, NDJSON, etc.)
- Cleaning or filtering datasets
- Merging/joining files on a common key
- Aggregating data (sum, avg, count, min, max by group)
- Detecting file formats automatically
- Building multi-step data processing pipelines
Scripts
| Script | Purpose | Usage | | ------------------ | ------------------------ | --------------------------------------------------------------------- | | csv-to-json.py | Convert CSV → JSON array | python3 csv-to-json.py input.csv [output.json] | | json-to-csv.py | Convert JSON array → CSV | python3 json-to-csv.py input.json [output.csv] | | data-merge.py | Join two files on a key | python3 data-merge.py left.csv right.csv --key id [--how inner] | | data-filter.py | Filter + aggregate data | python3 data-filter.py input.csv --filter "col=val" --agg "col:sum" | | detect-format.py | Auto-detect file format | python3 detect-format.py file.ext |
All scripts read from stdin if no file argument given. Output goes to stdout by default.
References
references/jq-cheatsheet.md— Common jq patterns for JSON processingreferences/csvkit-patterns.md— csvkit one-linersreferences/large-file-handling.md— Strategies for big datasets
Examples
# Convert CSV to JSON
python3 scripts/csv-to-json.py sales.csv > sales.json
# Filter rows and aggregate
python3 scripts/data-filter.py sales.csv --filter "region=Europe" --agg "revenue:sum,count"
# Merge two CSVs on 'id' column
python3 scripts/data-merge.py users.csv orders.csv --key user_id --how left
# Detect format
python3 scripts/detect-format.py mystery_file.datDependencies
- Python 3 (standard library only — csv, json, argparse)
- No external packages required
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: JansenAnalytics
- Source: JansenAnalytics/claudex
- 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.