{
  "_comment": "Alive Skill System configuration. Edit this file to customize paths and thresholds.",
  "_config_path": "~/.claude/skill-system-config.json",

  "paths": {
    "claude_dir": "~/.claude",
    "wiki_dir": "~/.claude/skill-wiki",
    "skills_dir": "~/.claude/skills",
    "agents_dir": "~/.claude/agents",
    "skill_manifest": "~/.claude/skill-manifest.json",
    "intent_log": "~/.claude/intent-log.jsonl",
    "pending_skills": "~/.claude/pending-skills.json",
    "skill_registry": "~/.claude/skill-registry.json",
    "stack_profile_tmp": "~/.claude/skill-stack-profile.json",
    "catalog": "~/.claude/skill-wiki/catalog.md"
  },

  "knowledge": {
    "_comment": "User knowledge-source policy. shipped = use ctx's shipped graph/wiki; local = private/local wiki only; enriched = start from shipped ctx knowledge and add user/project content.",
    "mode": "shipped"
  },

  "resolver": {
    "_comment": "Resolver + recommendation tuning. max_skills is the HARD ceiling for a single resolve call (anti-budget-blowout). recommendation_top_k is the hard cap shown to users as an execution bundle — a mixed recommendation spanning skills + agents + MCPs ordered by graph score. Harnesses use the separate harness catalog flow. Keep top_k small (default/max 5) so users aren't overwhelmed by options; recommendation_min_normalized_score drops weak graph matches instead of recommending at all cost.",
    "max_skills": 15,
    "recommendation_top_k": 5,
    "recommendation_min_normalized_score": 0.30,
    "intent_boost_per_signal": 5,
    "intent_boost_max": 15,
    "staleness_penalty": -8,
    "meta_skills": ["skill-router", "file-reading"]
  },

  "context_monitor": {
    "unmatched_signal_threshold": 3,
    "manifest_stale_minutes": 60
  },

  "usage_tracker": {
    "stale_threshold_sessions": 30,
    "keep_log_days": 5
  },

  "harness": {
    "_comment": "Harness catalog recommendation tuning for custom/API/local model users. Harnesses are separate from the execution bundle and are only recommended when their absolute fit score is at or above recommendation_min_fit_score. The normalized floor is kept for older user configs and display compatibility.",
    "recommendation_min_normalized_score": 0.85,
    "recommendation_min_fit_score": 0.85
  },

  "skill_transformer": {
    "line_threshold": 180,
    "max_stage_lines": 40,
    "stage_count": 5
  },

  "skill_router": {
    "manifest_stale_minutes": 60,
    "manifest_max_age_hours": 24
  },

  "extra_skill_dirs": [],

  "intake": {
    "enabled": true,
    "dup_threshold": 0.93,
    "near_dup_threshold": 0.80,
    "min_neighbors": 0,
    "min_neighbor_score": 0.30,
    "min_body_chars": 120,
    "cache_root": "~/.claude/skills/_embeddings",
    "embedding": {
      "backend": "sentence-transformers",
      "model": null,
      "base_url": null,
      "allow_remote": false
    }
  },

  "graph": {
    "_comment": "Knowledge-graph edge weighting for wiki_graphify. Base edges between entity pages (skill ↔ agent ↔ mcp-server ↔ harness, any combination) come from semantic similarity, explicit tags, slug tokens, source overlap, or direct wikilinks. Semantic/tag/token weights must sum to 1.0. min_edge_weight drops weak final blended edges after scoring; default 0.03 is the calibrated shipped graph floor. Edge boosts then add explainable rank signals (direct links, source overlap, Adamic-Adar, type affinity, usage, quality) without creating edges by themselves. Override any key in your user config (~/.claude/skill-system-config.json).",
    "edge_weights": {
      "semantic":    0.70,
      "tags":        0.15,
      "slug_tokens": 0.15
    },
    "min_edge_weight": 0.03,
    "semantic": {
      "_comment": "Semantic edge construction uses two thresholds so you can tune display strictness WITHOUT paying to rebuild the graph. build_floor is the low bar for inclusion (all pairs at or above this survive to graph.json); min_cosine is the query/display filter that consumers (resolve, visualize, recommend) apply at read time. build_floor must be <= min_cosine. Rebuilding is only required when you change top_k, build_floor, or the entity body text that drives the cached embeddings — min_cosine alone is rebuild-free.",
      "top_k": 20,
      "build_floor": 0.50,
      "min_cosine": 0.80,
      "batch_size": 512,
      "cache_dir": "~/.claude/skill-wiki/.embedding-cache/graph"
    },
    "tag_edges": {
      "_comment": "Tag edge construction. dense_tag_threshold skips over-broad tags shared by >N nodes (a tag on 1000 nodes would create 500k noise edges of weight 1). Use Infinity to disable. shared_tag_saturation is the number of overlapping tags at which tag_sim saturates to 1.0 — with saturation=5, two pages sharing 5+ tags contribute tag_sim=1.0; sharing 2 contributes 0.4.",
      "dense_tag_threshold": 500,
      "shared_tag_saturation": 5
    },
    "token_edges": {
      "_comment": "Slug-token edge construction. Mirrors tag_edges but for the pseudo-tags synthesized from slugs. Keep dense_token_threshold intentionally low: after 90K+ hydrated Skills.sh bodies, broad slug words create millions of low-signal token-only edges. Semantic top-K and explicit tags are the primary graph signals; slug tokens are only a sparse fallback.",
      "dense_token_threshold": 30,
      "shared_token_saturation": 3
    },
    "source_edges": {
      "_comment": "Source-overlap edge construction. Pages with the same repo/source/homepage/detail/package URL can connect even when their tags differ. Buckets above dense_source_threshold are skipped so broad catalog URLs cannot create noise edges.",
      "dense_source_threshold": 50
    },
    "edge_boosts": {
      "_comment": "Additive edge boosts. These never create edges alone; they only strengthen pairs already justified by semantic, tags, slug tokens, source overlap, or direct wikilinks. Set a value to 0 to disable that signal.",
      "direct_link": 0.10,
      "source_overlap": 0.05,
      "adamic_adar": 0.04,
      "type_affinity": 0.03,
      "usage": 0.02,
      "quality": 0.02
    }
  },

  "mcp_quality": {
    "_comment": "Phase 4 MCP scorer. Weights must sum to 1.0; signals are popularity, freshness, structural, graph, trust, runtime. Override per-key in your user config (~/.claude/skill-system-config.json).",
    "weights": {
      "popularity": 0.30,
      "freshness":  0.20,
      "structural": 0.15,
      "graph":      0.15,
      "trust":      0.10,
      "runtime":    0.10
    },
    "grade_thresholds": {
      "A": 0.80,
      "B": 0.60,
      "C": 0.40
    },
    "star_saturation": 1000,
    "freshness_half_life_days": 90.0,
    "graph_degree_saturation": 20,
    "paths": {
      "sidecar_dir": "~/.claude/skill-quality/mcp"
    }
  },

  "babysitter": {
    "plugin_root": "",
    "runs_dir": ".a5c/runs",
    "sdk_version": "latest"
  },

  "backup": {
    "_comment": "Change-triggered snapshot config. Paths under top_files are relative to ~/.claude. Trees copy directories. memory_glob walks ~/.claude/projects/*/memory.",
    "snapshot_dir": "~/.claude/backups",
    "name_format": "{timestamp}",
    "timestamp_format": "%Y%m%dT%H%M%SZ",
    "scope": "full",
    "max_file_bytes": 5242880,
    "top_files": [
      "settings.json",
      "skill-manifest.json",
      "pending-skills.json",
      "CLAUDE.md",
      "AGENTS.md",
      "user-profile.json",
      "skill-system-config.json",
      "skill-registry.json"
    ],
    "trees": [
      {"src": "agents", "dest": "agents"},
      {"src": "skills", "dest": "skills"}
    ],
    "memory_glob": true,
    "excludes": [],
    "retention": {
      "keep_latest": 50,
      "keep_daily": 14
    }
  },

  "quality": {
    "_comment": "Post-install quality scorer. 'weights' applies to skills (telemetry-heavy — skills are auto-loaded and usage frequency is the strongest post-install signal). 'agent_weights' applies to agents (structure-heavy — agents are invoked deliberately and rarely, so telemetry is a weaker quality signal). Both must sum to 1.0 and contain exactly: telemetry, intake, graph, routing. Grade thresholds must satisfy 0 <= C <= B <= A <= 1. See src/skill_quality.py.",
    "weights": {
      "telemetry": 0.40,
      "intake": 0.20,
      "graph": 0.25,
      "routing": 0.15
    },
    "agent_weights": {
      "telemetry": 0.15,
      "intake": 0.30,
      "graph": 0.35,
      "routing": 0.20
    },
    "grade_thresholds": {
      "A": 0.80,
      "B": 0.60,
      "C": 0.40
    },
    "stale_threshold_days": 30.0,
    "recent_window_days": 14.0,
    "min_body_chars": 120,
    "paths": {
      "sidecar_dir": "~/.claude/skill-quality",
      "router_trace": "~/.claude/router-trace.jsonl"
    },
    "lifecycle": {
      "_comment": "Asymmetric lifecycle gates. Demotions happen automatically from a D-streak; archive requires the skill to sit in _demoted long enough; delete requires typed-slug confirmation. See src/ctx_lifecycle.py.",
      "archive_threshold_days": 14.0,
      "delete_threshold_days": 60.0,
      "consecutive_d_to_demote": 2,
      "demoted_subdir": "_demoted",
      "archive_subdir": "_archive",
      "history_max": 20
    },
    "dashboard": {
      "_comment": "KPI dashboard rendering knobs. See src/kpi_dashboard.py.",
      "default_top_n": 10,
      "report_path": "~/.claude/skill-quality/kpi.md"
    }
  }
}