Package research artifacts for long-term archival
Scanned 9/3/2026
Install to Claude Code
npx -y skills add jmagly/aiwg --skill research-archive --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Research Archive?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/jmagly-research-archive-aiwg)More formats (shields.io, HTML) on the badges page.
---
namespace: aiwg
name: research-archive
platforms: [all]
description: Package research artifacts for long-term archival
commandHint:
argumentHint: "[REF-XXX or --all] [--format bagit|zip|tar] [--verify]"
category: research-archival
---
# Research Archive Command
Package research artifacts for long-term preservation following archival best practices.
## Instructions
When invoked, create archival packages:
1. **Identify Artifacts**
- If REF-XXX specified, collect all artifacts for that paper
- If --all, collect entire research corpus
- Gather: PDF, finding document, metadata, provenance records, quality assessments
2. **Validate Integrity**
- Verify all checksums against fixity manifest
- Confirm no file corruption
- Check metadata completeness
- Ensure provenance chains are complete
3. **Create Archive Package**
- Package format options:
- **BagIt** (default) - Library of Congress standard for digital preservation
- **ZIP** - Universal compressed format
- **TAR.GZ** - POSIX archival format
- Include manifest with checksums
- Add archive metadata (creation date, creator, package contents)
4. **Generate Archival Metadata**
- Dublin Core metadata record
- PREMIS preservation metadata
- Research corpus inventory
- Provenance summary
5. **Verify Package**
- Validate package structure
- Verify all files present
- Check checksums
- Test package extraction
6. **Store and Register**
- Save to `.aiwg/research/archives/`
- Register in archival index
- Generate archival report
- Create retrieval instructions
## Arguments
- `[ref-id or --all]` - Specific paper or entire corpus (required)
- `--format [bagit|zip|tar]` - Archive format (default: bagit)
- `--output [path]` - Custom output location (default: .aiwg/research/archives/)
- `--verify` - Perform integrity verification after creation
- `--compression [none|gzip|bzip2]` - Compression level (default: gzip)
- `--include-notes` - Include literature notes in package
- `--metadata-only` - Create metadata package without PDFs
## BagIt Format (Default)
BagIt is the Library of Congress standard for digital preservation:
```
REF-022-archive/
├── bagit.txt # BagIt declaration
├── bag-info.txt # Package metadata
├── manifest-sha256.txt # Checksums for data files
├── tagmanifest-sha256.txt # Checksums for tag files
└── data/
├── REF-022.pdf # Source paper
├── REF-022-autogen.md # Finding document
├── metadata.yaml # Extracted metadata
├── provenance.yaml # Provenance records
└── quality-assessment.yaml # GRADE assessment
```
## Examples
```bash
# Archive single paper in BagIt format
/research-archive REF-022
# Archive with verification
/research-archive REF-022 --verify
# Archive entire corpus
/research-archive --all --format bagit
# Archive with custom output
/research-archive REF-022 --output /backup/research-archives/
# Create metadata-only archive for sharing
/research-archive REF-022 --metadata-only --format zip
# Archive multiple papers
/research-archive REF-001 REF-013 REF-022 --format tar
```
## Expected Output
```
Creating Archive: REF-022
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Step 1: Collecting artifacts
✓ Source PDF: .aiwg/research/sources/REF-022.pdf (2.4 MB)
✓ Finding: .aiwg/research/findings/REF-022-autogen.md (12 KB)
✓ Metadata: Extracted from frontmatter
✓ Provenance: .aiwg/research/provenance/records/REF-022-acquisition.yaml
✓ Quality: .aiwg/research/quality-assessments/REF-022-assessment.yaml
✓ Literature notes: .aiwg/research/literature-notes/REF-022-notes.md
Step 2: Validating integrity
✓ PDF checksum verified: a1b2c3d4e5f6...
✓ All files present and intact
✓ Metadata complete
✓ Provenance chain validated
Step 3: Creating BagIt package
✓ BagIt structure created
✓ Files copied to data/ directory
✓ SHA-256 checksums generated
✓ bag-info.txt created with metadata
✓ Package size: 2.5 MB
Step 4: Generating archival metadata
✓ Dublin Core record created
✓ PREMIS preservation metadata added
✓ Inventory generated: 6 files
Step 5: Verifying package
✓ BagIt validation passed
✓ All checksums verified
✓ Package structure correct
✓ Test extraction successful
Step 6: Registering archive
✓ Saved to: .aiwg/research/archives/REF-022-archive-20260203.bag
✓ Registered in archival index
✓ Archival report generated
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Archive created successfully!
Package: .aiwg/research/archives/REF-022-archive-20260203.bag
Format: BagIt (Library of Congress standard)
Size: 2.5 MB
Files: 6
Contents:
- REF-022.pdf (source paper)
- REF-022-autogen.md (finding document)
- metadata.yaml (frontmatter + enrichment)
- provenance.yaml (acquisition + documentation history)
- quality-assessment.yaml (GRADE assessment)
- literature-notes.md (synthesis notes)
Verification: PASSED
Retrieval Instructions:
1. Extract: bagit.py --validate REF-022-archive-20260203.bag
2. Restore to corpus: /research-restore REF-022-archive-20260203.bag
Archive Report: .aiwg/research/archives/REF-022-archive-20260203-report.md
```
## Archival Metadata
Each archive includes comprehensive metadata:
```yaml
# bag-info.txt (BagIt metadata)
Source-Organization: AIWG Research Corpus
Organization-Address: https://github.com/jmagly/aiwg
Contact-Name: AIWG Archival Agent
Contact-Email: research@aiwg.io
External-Description: Research paper archive for REF-022 (AutoGen)
Bagging-Date: 2026-02-03
Bag-Size: 2.5 MB
Payload-Oxum: 2621440.6
External-Identifier: REF-022
Internal-Sender-Identifier: ai-writing-guide/research-corpus
Internal-Sender-Description: AIWG Research Framework
# Dublin Core metadata
dc:title: AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
dc:creator: Wu, Qingyun; Bansal, Gagan; Zhang, Jieyu; et al.
dc:date: 2023
dc:identifier: 10.48550/arXiv.2308.08155
dc:type: Conference Paper
dc:format: application/pdf
dc:language: en
# PREMIS preservation metadata
premis:objectIdentifier: REF-022
premis:originalName: REF-022.pdf
premis:fixity: sha256:a1b2c3d4e5f6...
premis:dateCreatedByApplication: 2026-02-03T12:00:00Z
premis:preservationLevel: bit-level
```
## Archival Index
All archives are tracked in `.aiwg/research/archives/archive-index.yaml`:
```yaml
archives:
- archive_id: REF-022-archive-20260203
ref_id: REF-022
created_at: "2026-02-03T14:30:00Z"
format: bagit
size_bytes: 2621440
file_count: 6
checksum: "sha256:xyz789..."
location: ".aiwg/research/archives/REF-022-archive-20260203.bag"
verified: true
last_verified: "2026-02-03T14:30:15Z"
```
## Bulk Archival
Archive entire corpus:
```bash
/research-archive --all
Output:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Archiving Entire Research Corpus
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Found 47 papers in corpus
Progress: [████████████████████] 47/47 (100%)
Summary:
✓ 47 papers archived
✓ Total size: 142.8 MB
✓ All packages verified
✓ Archival index updated
Archive Bundle: .aiwg/research/archives/corpus-archive-20260203.tar.gz
Manifest: .aiwg/research/archives/corpus-manifest-20260203.yaml
Individual Archives:
REF-001-archive-20260203.bag
REF-002-archive-20260203.bag
...
REF-047-archive-20260203.bag
```
## Restoration
Archived packages can be restored using `/research-restore`:
```bash
/research-restore REF-022-archive-20260203.bag
```
## Long-Term Preservation Compliance
Archives follow best practices from:
- Library of Congress BagIt specification
- OAIS (Open Archival Information System) reference model
- Dublin Core metadata standard
- PREMIS preservation metadata standard
## Validation
All archives undergo validation:
- [ ] BagIt specification compliance
- [ ] All files listed in manifest present
- [ ] All checksums match manifest
- [ ] Metadata is complete and valid
- [ ] Package can be extracted successfully
- [ ] Contents can be restored to working corpus
## References
- @$AIWG_ROOT/agentic/code/frameworks/research-complete/agents/archival-agent.md - Archival Agent
- @$AIWG_ROOT/src/research/services/archival-service.ts - Archival implementation
- @.aiwg/research/fixity-manifest.json - Checksum tracking
- @.aiwg/research/archives/README.md - Archival procedures
- https://tools.ietf.org/html/rfc8493 - BagIt specification
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!