aiwg
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Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.
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YAML
# Fixity Manifest Schema
# Based on REF-061 OAIS (Fixity Information)
# Issue: #108
$schema: "https://json-schema.org/draft/2020-12/schema"
$id: "https://aiwg.io/schemas/fixity-manifest/v1"
title: "Fixity Manifest Schema"
description: |
Checksum generation and verification for research PDFs and critical artifacts.
Implements OAIS Fixity Information to ensure integrity over time.
type: object
required:
- manifest_version
- created_at
- entries
properties:
manifest_version:
type: string
const: "1.0"
description: "Schema version"
created_at:
type: string
format: date-time
description: "Manifest creation timestamp"
updated_at:
type: string
format: date-time
description: "Last update timestamp"
verified_at:
type: string
format: date-time
description: "Last full verification timestamp"
algorithm:
type: string
default: "sha256"
enum: ["sha256", "sha384", "sha512", "md5"]
description: "Hash algorithm used (SHA-256 recommended)"
entries:
type: array
items:
$ref: "#/$defs/FixityEntry"
description: "Artifact entries with checksums"
statistics:
type: object
properties:
total_entries:
type: integer
total_size_bytes:
type: integer
verified_count:
type: integer
failed_count:
type: integer
unverified_count:
type: integer
description: "Summary statistics"
$defs:
FixityEntry:
type: object
required:
- path
- checksum
- size_bytes
- added_at
properties:
path:
type: string
description: "Relative path from repository root"
checksum:
type: string
pattern: "^[a-f0-9]{64}$"
description: "SHA-256 hash of file content"
size_bytes:
type: integer
minimum: 0
description: "File size in bytes"
added_at:
type: string
format: date-time
description: "When entry was added to manifest"
verified_at:
type: string
format: date-time
description: "Last successful verification"
verification_status:
type: string
enum:
- verified # Checksum matches
- failed # Checksum mismatch (corruption/tampering)
- pending # Not yet verified
- missing # File not found
default: pending
description: "Current verification status"
content_type:
type: string
enum:
- pdf # Research paper PDFs
- schema # YAML/JSON schemas
- template # Document templates
- rule # Agent rules
- artifact # Other critical artifacts
description: "Type of content"
ref_id:
type: string
pattern: "^REF-[0-9]{3}$"
description: "Associated REF-XXX ID if applicable"
metadata:
type: object
properties:
title:
type: string
source_url:
type: string
format: uri
download_date:
type: string
format: date
description: "Additional metadata"
history:
type: array
items:
type: object
properties:
action:
type: string
enum: [added, verified, failed, replaced]
timestamp:
type: string
format: date-time
previous_checksum:
type: string
notes:
type: string
description: "Change history for audit"
# Verification workflow
verification_workflow:
trigger:
- on_access: false # Verify when file is accessed
- on_commit: true # Verify in pre-commit hook
- scheduled: "weekly" # Scheduled verification
on_failure:
- log_to: ".aiwg/research/integrity-failures.log"
- notify: issue_comment
- quarantine: true # Move to quarantine directory
recovery:
- check_backup: ".aiwg/research/backups/"
- attempt_redownload: true
- escalate_if_unrecoverable: true
# Agent integration
agent_protocol:
description: "How agents interact with fixity checking"
on_pdf_download:
- compute_checksum: sha256
- add_to_manifest: true
- verify_source: check_doi_match
on_artifact_create:
- add_critical_artifacts: true
- exclude_patterns:
- "*.log"
- "*.tmp"
- ".aiwg/working/**"
before_citation:
- verify_source_exists: true
- check_integrity: warn_on_fail
# Example manifest
examples:
- manifest_version: "1.0"
created_at: "2026-01-25T15:00:00Z"
updated_at: "2026-01-25T15:00:00Z"
algorithm: sha256
entries:
- path: ".aiwg/research/pdfs/REF-013-metagpt.pdf"
checksum: "a1b2c3d4e5f6...64chars..."
size_bytes: 1548923
added_at: "2026-01-20T10:00:00Z"
verified_at: "2026-01-25T15:00:00Z"
verification_status: verified
content_type: pdf
ref_id: "REF-013"
metadata:
title: "MetaGPT: Meta Programming for Multi-Agent Systems"
source_url: "https://arxiv.org/abs/2308.00352"
download_date: "2026-01-20"
statistics:
total_entries: 37
total_size_bytes: 45234567
verified_count: 37
failed_count: 0
unverified_count: 0
# Storage location
storage:
manifest_path: ".aiwg/research/fixity-manifest.json"
backup_path: ".aiwg/research/backups/fixity/"
failure_log: ".aiwg/research/integrity-failures.log"
# References
references:
research:
- "@.aiwg/research/findings/REF-061-oais.md"
implementation:
- "#108"
related:
- "@agentic/code/frameworks/sdlc-complete/schemas/research/frontmatter-schema.yaml"
- "@agentic/code/frameworks/sdlc-complete/schemas/provenance/prov-record.yaml"