ctx / src /config.json
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{
"_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"
}
}
}