acquire-training-source

Acquire a training data source — filesystem directory, URL, git repo, or existing AIWG research REF — with license validation and format detection. Delegates ingest mechanics to the semantic memory kernel.

When to Use

• You have a corpus (GitHub repo, paper collection, conversation dataset, docs site) and want to turn it into training data
• You need to track license, provenance, and source-level quality per training example

Parameters

<source> (required)

Source location. Supported forms:

• file:/path/to/dir — local filesystem directory
• file:/path/to/file.{md,txt,json,jsonl,pdf} — single file
• https://... — URL (document, tarball, API endpoint)
• git:<repo-url> — git repository (shallow clone)
• ref:REF-XXX — existing AIWG research REF (reuse corpus)

--license <spdx> (optional)

SPDX license identifier for the source. Required unless --allow-unlicensed is set. See https://spdx.org/licenses/ for valid identifiers.

--allow-unlicensed (optional)

Override the license-required gate. Emits a warning and tags the source license: unknown in metadata. Examples derived from unlicensed sources inherit unknown and will be blocked by license-check lint at publication time.

--format <type> (optional)

Hint the expected format: code, docs, papers, dialogues, mixed. Used by downstream synthesis skills. Auto-detected if omitted.

Operation

1. Resolve source — parse the input form. For ref:REF-XXX, look up the REF in .aiwg/research/ and reuse its files as the source.
2. License gate — fail unless --license is provided or --allow-unlicensed is set. For ref: sources, inherit the REF's declared license.
3. Format detection — if --format is not given, scan file extensions + sampled content to classify (code / docs / papers / dialogues / mixed).
4. Stage raw source — copy or download into .aiwg/training/raw/<source-id>/.
5. Delegate ingest — call memory-ingest --consumer training-complete --source .aiwg/training/raw/<source-id>/. Kernel handles:

• Reading files per topology contract
• Creating example note per document (granularity per ADR-022 D4)
• Writing to derivedPages.rawExamples
• Cross-references and index update

1. Record source-level metadata — write source.yaml in the raw dir capturing:

• source_id, source_type, acquired_at, acquired_by
• license (SPDX), license_source (declared vs inherited)
• format_detected
• file_count, total_bytes, sha256_manifest_ref

1. Create provenance record — W3C PROV Entity for the source + Activity for acquisition, via existing provenance-create skill.
2. Log — memory-log-append with op ingest (inherited from kernel) plus source-level summary.

Retained Research-Side Layers

The kernel handles ingest mechanics. This skill retains training-specific layers on top:

• License validation — fail-closed without SPDX declaration
• Format detection — classifies for downstream synthesis hints
• REF reuse — first-class support for ref:REF-XXX sources to pull from existing research corpus
• Source-level fixity — SHA-256 manifest at source level for reproducibility

Error Handling

• Unlicensed source without override — fail with clear instructions to use --license or --allow-unlicensed
• Invalid SPDX identifier — fail with pointer to https://spdx.org/licenses/
• Source unreachable (URL, git) — retry once, then fail with network detail
• Ingest pipeline failure — delegate error to kernel; surface with source context

Examples

bash
# Acquire a GitHub repo as training source
acquire-training-source git:https://github.com/rust-lang/rust --license "Apache-2.0 OR MIT" --format code

# Reuse a research REF as a training source
acquire-training-source ref:REF-375 --format papers

# Acquire a local directory
acquire-training-source file:/home/user/datasets/code-review --license MIT

# Acquire unlicensed source (emits warning)
acquire-training-source https://example.com/dataset.tar.gz --allow-unlicensed

Schema Reference

• @agentic/code/frameworks/training-complete/schemas/example-record.yaml — target example format
• @agentic/code/frameworks/sdlc-complete/schemas/research/license-metadata.yaml — SPDX tracking

Delegation

• Ingest mechanics: @agentic/code/addons/semantic-memory/skills/memory-ingest/SKILL.md
• Research-side acquisition patterns: @agentic/code/frameworks/research-complete/skills/research-acquire/SKILL.md
• Provenance: @agentic/code/frameworks/sdlc-complete/skills/provenance-create/SKILL.md
• Integrity manifests: @agentic/code/frameworks/media-curator/skills/integrity-verification/SKILL.md