@zack/devwork-maintainer-guide

Small vector-mode maintainer guide for issue triage, labeling, and review-comment drafting workflows.

Install
agentpm install @zack/devwork-maintainer-guide@0.1.0
Inspect / query
agentpm knowledge inspect @zack/devwork-maintainer-guide@0.1.0
Weekly installs
1
0%
Last publish
1d ago
v0.1.0
agent.json
{
  "name": "devwork-maintainer-guide",
  "version": "0.1.0",
  "description": "Small vector-mode maintainer guide for issue triage, labeling, and review-comment drafting workflows.",
  "knowledge": {
    "mode": "vector",
    "corpus": {
      "chunk_count": 6,
      "chunks_path": "knowledge/chunks.jsonl",
      "content_hash": "sha256:164e1bccccf6809bc1a1ef2051ce88970e51a6d58b6cd0050bdf8c5e0710d440",
      "source_count": 3,
      "sources_path": "knowledge/sources.jsonl"
    },
    "embedding": {
      "id": "default",
      "model": "example-normalized-4d",
      "metric": "cosine",
      "provider": "bring-your-own",
      "dimensions": 4,
      "normalized": true,
      "vector_count": 6,
      "vectors_hash": "sha256:5098bdaab66105f28f921075b57d5d440a15c631199b347b3ff942f9165236f6",
      "vectors_path": "knowledge/embeddings/default.f32"
    },
    "indexes": [
      {
        "id": "default",
        "path": "knowledge/indexes/default",
        "type": "agentpm-local",
        "embedding_id": "default",
        "generated_by": "agentpm knowledge build"
      }
    ],
    "retrieval": {
      "strategy": "vector",
      "default_top_k": 3,
      "return_citations": true,
      "default_score_threshold": 0.55
    },
    "provenance": {
      "builder": {
        "name": "agentpm-examples-manual-curation",
        "version": "2026-07-12"
      },
      "generated_at": "2026-07-12T00:00:00Z",
      "sources_manifest_path": "knowledge/provenance/sources-manifest.json"
    },
    "chunking": {
      "overlap": 0,
      "strategy": "manual-authored-sections",
      "chunk_size": 1
    }
  },
  "readme": "README.md",
  "license": {
    "spdx": "MIT"
  }
}
Knowledge metadata
Mode
Vector mode
Vector corpus
Chunk count
6
Source count
3
Corpus hash
sha256:164e1bccccf6809bc1a1ef2051ce88970e51a6d58b6cd0050bdf8c5e0710d440
Embedding metadata
Provider
bring-your-own
Model
example-normalized-4d
Dimensions
4
Metric
cosine
Normalized
true
Vector count
6
Indexes
default
agentpm-local
Path
knowledge/indexes/default
Embedding ID
default
Generated by
agentpm knowledge build
Retrieval defaults
Strategy
vector
Default top K
3
Score threshold
0.55
Return citations
true
Provenance
Generated at
2026-07-12T00:00:00Z
Builder
agentpm-examples-manual-curation@2026-07-12