Merge pull request 'chore: gardener housekeeping' (#430) from chore/gardener-20260408-1802 into main

AGENTS.md

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 # Disinto — Agent Instructions
 
 ## What this repo is

architect/AGENTS.md

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 # Architect — Agent Instructions
 
 ## What this agent is

dev/AGENTS.md

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 # Dev Agent
 
 **Role**: Implement issues autonomously — write code, push branches, address

gardener/AGENTS.md

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 # Gardener Agent
 
 **Role**: Backlog grooming — detect duplicate issues, missing acceptance

lib/AGENTS.md

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 # Shared Helpers (`lib/`)
 
 All agents source `lib/env.sh` as their first action. Additional helpers are
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 | `lib/agent-sdk.sh` | `agent_run([--resume SESSION_ID] [--worktree DIR] PROMPT)` — one-shot `claude -p` invocation with session persistence. Saves session ID to `SID_FILE`, reads it back on resume. `agent_recover_session()` — restore previous session ID from `SID_FILE` on startup. **Nudge guard**: skips nudge injection if the worktree is clean and no push is expected, preventing spurious re-invocations. Callers must define `SID_FILE`, `LOGFILE`, and `log()` before sourcing. | formula-driven agents (dev-agent, planner-run, predictor-run, gardener-run) |
 | `lib/forge-setup.sh` | `setup_forge()` — Forgejo instance provisioning: creates admin user, bot accounts, org, repos (code + ops), configures webhooks, sets repo topics. Extracted from `bin/disinto`. Requires `FORGE_URL`, `FORGE_TOKEN`, `FACTORY_ROOT`. **Password storage (#361)**: after creating each bot account, stores its password in `.env` as `FORGE_<BOT>_PASS` (e.g. `FORGE_PASS`, `FORGE_REVIEW_PASS`, etc.) for use by `forge-push.sh`. | bin/disinto (init) |
 | `lib/forge-push.sh` | `push_to_forge()` — pushes a local clone to the Forgejo remote and verifies the push. `_assert_forge_push_globals()` validates required env vars before use. Requires `FORGE_URL`, `FORGE_PASS`, `FACTORY_ROOT`, `PRIMARY_BRANCH`. **Auth**: uses `FORGE_PASS` (bot password) for git HTTP push — Forgejo 11.x rejects API tokens for `git push` (#361). | bin/disinto (init) |
-| `lib/ops-setup.sh` | `setup_ops_repo()` — creates ops repo on Forgejo if it doesn't exist, configures bot collaborators, clones/initializes ops repo locally, seeds directory structure (vault, knowledge, evidence, sprints). Evidence subdirectories seeded: engagement/, red-team/, holdout/, evolution/, user-test/. Also seeds sprints/ for architect output. Exports `_ACTUAL_OPS_SLUG`. | bin/disinto (init) |
+| `lib/ops-setup.sh` | `setup_ops_repo()` — creates ops repo on Forgejo if it doesn't exist, configures bot collaborators, clones/initializes ops repo locally, seeds directory structure (vault, knowledge, evidence, sprints). Evidence subdirectories seeded: engagement/, red-team/, holdout/, evolution/, user-test/. Also seeds sprints/ for architect output. Exports `_ACTUAL_OPS_SLUG`. `migrate_ops_repo(ops_root, [primary_branch])` — idempotent migration helper that seeds missing directories and .gitkeep files on existing ops repos (pre-#407 deployments). | bin/disinto (init) |
 | `lib/ci-setup.sh` | `_install_cron_impl()` — installs crontab entries for project agents. `_create_woodpecker_oauth_impl()` — creates OAuth2 app on Forgejo for Woodpecker. `_generate_woodpecker_token_impl()` — auto-generates WOODPECKER_TOKEN via OAuth2 flow. `_activate_woodpecker_repo_impl()` — activates repo in Woodpecker. All gated by `_load_ci_context()` which validates required env vars. | bin/disinto (init) |
 | `lib/generators.sh` | Template generation for `disinto init`: `generate_compose()` — docker-compose.yml, `generate_caddyfile()` — Caddyfile, `generate_staging_index()` — staging index, `generate_deploy_pipelines()` — Woodpecker deployment pipeline configs. Requires `FACTORY_ROOT`, `PROJECT_NAME`, `PRIMARY_BRANCH`. | bin/disinto (init) |
 | `lib/hire-agent.sh` | `disinto_hire_an_agent()` — user creation, `.profile` repo setup, formula copying, branch protection, and state marker creation for hiring a new agent. Requires `FORGE_URL`, `FORGE_TOKEN`, `FACTORY_ROOT`, `PROJECT_NAME`. Extracted from `bin/disinto`. | bin/disinto (hire) |

planner/AGENTS.md

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 # Planner Agent
 
 **Role**: Strategic planning using a Prerequisite Tree (Theory of Constraints),

predictor/AGENTS.md

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 # Predictor Agent
 
 **Role**: Abstract adversary (the "goblin"). Runs a 2-step formula

review/AGENTS.md

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 # Review Agent
 
 **Role**: AI-powered PR review — post structured findings and formal

supervisor/AGENTS.md

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 # Supervisor Agent
 
 **Role**: Health monitoring and auto-remediation, executed as a formula-driven