234 lines
13 KiB
Markdown
234 lines
13 KiB
Markdown
# AGENTS.md — orientation for any agent on a homelab client
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You are running on a machine that is part of the **hubris** homelab. The full
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context is in this checkout at `/opt/homelab/`. This file is the entry
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point. Read it once at start, then keep working.
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- **New client?** Read [CLIENTS.md](CLIENTS.md) first.
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- **Developing on this repo?** Also read [.agents/dev/CONTRIBUTING.md](.agents/dev/CONTRIBUTING.md).
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The operating model — OODA loop, risk classes, approval rules, the ontology,
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and node lifecycle — is defined in [OIKOS.md](.agents/OIKOS.md). Before any mutation,
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classify the action against `seeds/policy.yaml`; when the class requires
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approval, stop and ask the operator.
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Agent-facing instruction lives under `.agents/`:
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`.agents/shared/` holds the conventions every agent applies
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([writing-style](.agents/shared/writing-style.md), [caveman](.agents/shared/caveman.md),
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[page-templates](.agents/shared/page-templates.md), [llm-wiki](.agents/shared/llm-wiki.md)), and
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`.agents/domains/` holds the per-domain schemas
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([knowledge](.agents/domains/knowledge/schema.md), [operations](.agents/domains/operations/schema.md)).
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**Source of truth:** The Postgres database is the single source of truth for all
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structured data and knowledge. It is bootstrapped from `seeds/` at deploy time:
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`seeds/ontology.yaml` (entity types, relationships, lifecycles), `seeds/inventory.yaml`
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(hosts, services, entities), `seeds/policy.yaml` (risk classes, approval rules), and
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`seeds/knowledge.yaml` (documents, investigations, runbooks). The old narrative wiki
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is archived at `archive/knowledge/` for historical reference.
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## 1. Who you are
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Run `hostname` (Linux) or `scutil --get LocalHostName` (macOS), then read:
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/opt/homelab/inventory.yaml
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That file tells you your role, your peers, what's mounted, and what services
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you host. If it does not exist, this client was not enrolled — stop and tell
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the operator; see [CLIENTS.md](CLIENTS.md#enrollment) for the enrollment flow
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(the entity needs to exist in `planned`/`provisioning` state first).
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## 2. The topology
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- `/opt/homelab/inventory.yaml` — every host, LXC, VM, and workstation
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with their mesh addresses, roles, and service mappings. This is the seed file;
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at runtime the DB is authoritative (query via MCP `get_entity` or the REST API).
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- `/opt/homelab/seeds/knowledge.yaml` — full narrative knowledge
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(documents, investigations, runbooks). Counts are not hardcoded here; count
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them from the seed or query the DB. Ingested into the DB on deploy.
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- `/opt/homelab/.agents/operations/commands.md` — the operator's cheatsheet
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for pct, caddy, DNS, and the Oikos command surface.
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## 3. The MCP server
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The homelab exposes a Model Context Protocol server with structured tools.
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Endpoint: `https://mcp.hubris.network/mcp`. Every call needs
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`Authorization: Bearer <token>` — the API has no unauthenticated path except
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enrollment and `/healthz` (see "Authentication" below for where the token
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comes from).
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Available tools (63 total — the authoritative list; do not hardcode the count
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elsewhere; regenerate from `internal/mcp/` when tools change):
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Entity Tools — knowledge graph, discovery, and lifecycle:
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ping — lightweight connectivity check
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get_entity(slug_or_id) — get an entity by slug or UUID
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list_entities(type, state, q, limit) — entities filtered by type, state, or search
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get_relations(entity_id, types) — list inbound/outbound edges for one entity
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get_blast_radius(entity_id, depth=3) — entities affected if this one goes down
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create_entity(type, name, slug, attributes, state) — create a new entity in the graph
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update_entity_attributes(slug, attributes) — merge discovered facts into an entity
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set_entity_state(slug, state) — transition entity to a new lifecycle state
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create_relationship(source, target, type) — record a discovered edge
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end_relationship(source, target, type) — soft-delete an active edge
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whoami(hostname) — entity record, peers, and health for a host
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explain(service_slug) — compact context card (type, state, health, relations)
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preflight(service_slug, action) — risk class + approval requirement
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get_change_history(entity_slug, limit=20) — last audit-log entries per entity
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get_state_snapshot() — last scheduler Observe-pass: fleet health, disk, drift
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audit_knowledge_graph() — read-only drift report over the graph and checks
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discover_infra_drift() — running guests vs DB: missing/ghost entities
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find_entities_by(key, value, limit=25) — search entities by attribute values
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Ops Tools — live state, signals, checks, and execution:
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run(target, command, purpose, declared_risk) — general execution primitive; read-only auto-acts, mutations queue for approval, destructive always needs explicit confirmation
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inspect_path(path, targets) — bulk mount/df/ls/stat across multiple hosts/LXCs
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get_execution_status(execution_id) — poll execution progress
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tail_log(service_slug, lines=50) — journalctl for a service
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get_service_status(service_slug) — systemctl is-active/is-enabled
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get_lxc_state(lxc_slug) — pct status from Proxmox host
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ping_service(service_slug) — HTTP reachability + scheduler health state
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list_lxcs(state) — all LXC containers with ID, host, IP, last-audited hint
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ack_signal(signal_id) — acknowledge an open signal
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resolve_signal(signal_id, resolution) — resolve a signal with optional note
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mute_signal(signal_id, duration_s=3600) — temporarily mute a signal
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cancel_execution(execution_id, reason) — cancel a queued/running execution
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update_check(check_id, enabled) — enable or disable a health check
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list_checks(entity_slug, enabled) — list health checks with verdict, probe kind
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list_executions(entity_slug, status, limit=25) — cursor-paginated execution history
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list_entity_sessions(entity_slug) — active Nomos sessions linked to an entity
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get_dashboard_summary() — fleet overview: counts, health, signals, approvals
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get_secret(key, path, environment) — retrieve a secret from the Infisical vault
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list_secrets(path_prefix) — list secret keys in the Infisical vault
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set_secret(key, value, path, environment) — store/update a secret (requires approval)
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Knowledge Tools — search, read, and maintain the knowledge base:
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search_knowledge(query) — full-text search across docs (snippets, not full body)
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get_entity_knowledge(entity_slug) — all docs/investigations/runbooks linked to a slug
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get_knowledge_content(slug) — full markdown body of one knowledge entry
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upsert_knowledge(title, content, about, tags, kind) — write what you learned
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delete_knowledge(knowledge_slug) — soft-delete a knowledge entry
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restore_knowledge(knowledge_slug) — restore a soft-deleted entry
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merge_knowledge(target_slug, source_slugs) — fold entries into a target
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rename_knowledge_tag(from, to) — bulk-rename tags across all entries
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get_knowledge_revisions(knowledge_slug) — version history for a knowledge entry
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get_knowledge_duplicates(threshold=0.6) — near-duplicate detection via trigram similarity
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get_knowledge_orphans(stale_days=90) — unlinked, untagged, or stale entries
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list_knowledge_tags() — all tags with usage counts and casing variants
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list_my_secrets(caller_pubkey) — secrets accessible to a client by age public key
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Analysis Tools — fleet health, metrics, and introspection:
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get_health_summary(health) — fleet health per entity, optionally filtered
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get_audit_trail(entity_id) — query the audit log
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query_metrics(hours=24) — time-series with bucketed avg/min/max
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get_signal_history(entity_slug, state, limit=50) — open and recent signals
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get_patterns(status, entity_type, action) — learned action patterns
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get_skills(status) — available automation skills
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get_trend(entity_id, days=7) — metric slope, variance, and averages
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get_event_timeline(severity, entity_slug, limit=50) — recent events
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get_agent_activity(limit=50) — agent self-inspection log
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classify_command(command, declared_risk) — pre-flight risk classification before `run`
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get_ontology() — entity types, relationship types, and lifecycle definitions
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http_get(url) — fetch a public web page/raw file; ~16KB cap
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**When to prefer MCP over grepping the clone:** always for knowledge queries.
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`search_knowledge("jellyfin hardware acceleration")` returns ranked results from
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the DB with entity links. `get_entity_knowledge("lxc:jellyfin")` returns documents,
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runbooks, and investigations in one call. Grep the clone only when MCP is
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unreachable.
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## 4. Authentication
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Every API/MCP route requires `Authorization: Bearer <token>` except
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`POST /api/v1/clients/enroll` and `/healthz`. Enrollment (see
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[CLIENTS.md](CLIENTS.md#enrollment)) does not currently issue a per-client
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API/MCP bearer token — there is one shared
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secret (`OIKOS_MCP_BEARER_TOKEN`, validated in `internal/httpapi/server.go`'s
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`combinedAuth`); get it from the operator until per-client token issuance
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exists. The SPA has its own flow instead: a first-launch Config screen that
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stores a token in `localStorage` (see `web/src/pages/Config.svelte`).
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## 5. Knowledge conventions
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All narrative knowledge (documents, investigations, runbooks) lives in the DB
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(`knowledge_entities` table) and is seeded from `seeds/knowledge.yaml`. Agents
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can register new knowledge via the API:
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```
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POST /api/v1/knowledge/{entity_slug}
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{"title": "...", "content": "...", "tags": ["..."]}
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```
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The DB is the truth. The old wiki files are archived at `archive/knowledge/`
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(historical reference only — use MCP `search_knowledge` for live queries).
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- **Runbook procedures** live as `runbook` entities in the DB and as SKILL.md
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files under `.agents/skills/<name>/`. They carry `risk_class`, `procedure`
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(JSON-schema-validated), and are linked to entity types via `applies_to_type`.
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- **Investigations** are `investigation` entities linked to affected entities
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via `about` edges.
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- **Documents** are `document` entities linked to entities via `documents` edges.
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They carry `at_glance` (structured attributes) and `changelog` (parsed entries).
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- **Live state precedence.** If you observe a discrepancy between the docs and
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running state, update the DB *in the same session* via the API. The `oikos export`
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command regenerates `seeds/knowledge.yaml` for version control.
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## 6. Acting on the homelab
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- **Read state**: use MCP tools. Nomos (the AI agent) is the primary
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operator interface — it routes to the MCP tool list in §3 for
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observe/orient/decide/act.
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- **Actions** (restart, logs, apt, pct exec, or anything else): Nomos calls
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`run` (the general execution primitive) via MCP. `reversible_low`/read-only actions execute
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immediately; `config_mutation` and `destructive` actions are queued for
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operator approval via Matrix or the control-room UI's Operations page.
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- **Secrets**: managed by Infisical (`oikos secret` subcommand for
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migration). Never hardcode secrets — use env vars from `.env`.
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- **Mutations** (restart, edit configs, etc.): classified against
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`seeds/policy.yaml`. `reversible_low` actions auto-execute;
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`config_mutation`/`destructive` actions require approval — granted by
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the operator via Matrix reply or the control-room UI, not a CLI flag.
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See OIKOS.md.
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## 7. Communication mode
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Read and apply `/opt/homelab/.agents/shared/caveman.md` (if present). It defines the lab's
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terse-communication standard — drop filler, keep substance, use fragments.
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## 8. Auto-setup mechanism
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The homelab-context repo ships tooling that gets automatically installed
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on every client after `git pull`. This is handled by `tools/post-pull.sh`
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(replaces the raw git pull in the sync timer) which runs any script matching
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`tools/setup-*.sh` after pull.
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Currently auto-setup:
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- **Host checks** (`tools/setup-checks.sh`): Deploys `checks/install.sh`'s
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health-check scripts to `/opt/oikos/checks` on each host. The scheduler's
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`ssh-script` check kind depends on these actually being there (count is
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whatever is currently seeded in the DB — do not hardcode it here).
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To add a new auto-setup, create `tools/setup-<name>.sh` in the repo,
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commit and push. All enrolled clients pick it up within 5 minutes.
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To trigger sync manually: run `/opt/homelab/tools/context-poller.sh`, or
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wait for the 5-min timer. (The server-side `tools_changed` detection only
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correctly recognizes `setup-*.sh` scripts — earlier it silently matched
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nothing, so nothing auto-ran on any client via this path.)
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## 9. Versioning
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Every commit to `main` **MUST bump the version** in the `VERSION` file at the
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repo root. The format is semver-ish: `major.minor.patch` (e.g. `0.2.3`).
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Rules:
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- **patch** (`0.2.2` → `0.2.3`): bugfixes, small tweaks, docs-only changes
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- **minor** (`0.2.3` → `0.3.0`): new features, new tools, visible functionality
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- **major** (`0.3.0` → `1.0.0`): breaking changes (API removal, tool retirement)
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The version is shown in the UI sidebar. The `v` prefix is added at build time.
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## 10. When in doubt
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Use MCP tools: `search_knowledge <query>` for narrative context,
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`get_entity <slug>` for structured data, `get_entity_knowledge <slug>` for
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everything linked to an entity. The clone is the fallback; MCP is the index. |