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SKILL verified Apache-2.0 Self-run

Okf Csv

skill-xsavikx-okf-skills-okf-csv · by xSAVIKx

CSV connector that produces and ingests Open Knowledge Format (OKF) bundles from a directory of CSV files. Infers each file's column schema (integer/number/boolean/date/string) by sampling rows, optionally embeds a per-column data profile and sample rows, and syncs descriptions back to a .okf-metadata.yaml sidecar. Use when documenting or cataloging a folder of CSV/flat files, or capturing their…

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Install

$ agentstack add skill-xsavikx-okf-skills-okf-csv

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

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About

CSV OKF Connector

This skill provides a Go-based CLI tool to document a directory of CSV files as an Open Knowledge Format (OKF) bundle: one concept per CSV, with an inferred column schema and an optional data profile, and to sync enriched descriptions back to a .okf-metadata.yaml sidecar.

When to Use

Use this skill when you need to:

  1. Catalog a folder of CSV files — each becomes a CSV File concept under tables/,

with a # Columns table whose types are inferred by sampling values.

  1. Capture per-column statistics (--profile) and sample rows (--sample) as

grounding for enrichment.

  1. Round-trip enriched descriptions back to the source via .okf-metadata.yaml.

CSV has no declared types or comment store, so column types are inferred and descriptions live in the sidecar (the same pattern okf-fs uses).

Setup

# Install the published binary (Go 1.24+):
go install github.com/xSAVIKx/okf-skills/skills/okf-csv@latest

# …or build from a clone:
cd skills/okf-csv && go build -o okf-csv .

How to Use

1. Produce an OKF bundle

./okf-csv produce --dir  --out  [--sample ] [--profile]
  • --dir (required): directory of CSV files (traversed recursively, honoring .okfignore).
  • --out (required): output OKF bundle directory.
  • --sample : embed up to N sample rows per file as a ## Sample section.
  • --profile: compute per-column statistics (non-null, null, distinct, min, max,

detected semantic type, low-cardinality value sets) into a ## Data Profile section.

Each data/orders.csv becomes tables/orders.md. Re-running preserves unchanged concepts byte-for-byte (incremental produce), keeping any enriched descriptions.

2. Ingest / sync descriptions

./okf-csv ingest --dir  --bundle  [--sync]
  • Verifies each concept's columns still match its CSV header (reports drift).
  • --sync: writes the bundle's descriptions back to .okf-metadata.yaml in --dir.

3. Inspect the schema (self-description)

./okf-csv schema

Prints the machine-readable JSON description used by okf-mcp to expose the skill.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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