docs: plugin config & state bridge design proposal
RFC covering four PluginContext additions driven by kanban-advanced needs: - ctx.get_config() / ctx.set_config() — typed config access - ctx.register_config_schema() — schema validation surfaced to hermes doctor - ctx.cron facade — cron CRUD without subprocess fragility - provides_config_defaults in plugin.yaml — safe config defaults on install
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# Plugin Config & State Bridge — Design Proposal
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**Branch:** `feat/plugin-config-state-bridge`
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**Target:** `hermes_cli/plugins.py` (PluginContext), `hermes_cli/config.py`, `cron/scheduler.py`
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**Concrete consumer:** kanban-advanced plugin (config overlay, cron provisioning, dashboard)
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---
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## Summary
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Today plugins that need to read/write Hermes configuration or manage cron jobs
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must shell out to CLI commands (`hermes config set`, `hermes cron create`) or
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manipulate YAML/config files directly. This is fragile across platform
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differences (Windows path separators, MSYS vs native Python), Hermes version
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bumps, and concurrent access.
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This proposal adds four capabilities to the `PluginContext` API so plugins can
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integrate with Hermes' config and cron systems through stable, typed interfaces
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without reaching into core internals.
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---
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## Proposal 1: `ctx.get_config()` / `ctx.set_config()`
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### Current state
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Plugins read `config.yaml` via `hermes_cli.config.load_config()`, parse it
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manually, and write back via direct file manipulation. This bypasses Hermes'
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own config manager — no schema validation, no atomic writes, no migration
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compatibility.
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### Proposed API
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```python
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class PluginContext:
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def get_config(self, key: str, default: Any = None) -> Any:
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"""Read a config value by dotted key (e.g. 'kanban.dispatch_stale_timeout_seconds').
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Returns the default if the key is unset or the config file is missing.
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Reads through Hermes' own config loader so layered configs (env overrides,
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profile-specific merges) are respected.
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"""
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def set_config(self, key: str, value: Any) -> None:
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"""Write a config value by dotted key.
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Writes through Hermes' config manager — atomic file write, schema
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validation for known keys, migration compatibility. Raises ValueError
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if the key path is invalid or the value fails schema validation.
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"""
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```
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### Implementation sketch
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```python
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# hermes_cli/plugins.py — PluginContext additions
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def get_config(self, key: str, default: Any = None) -> Any:
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from hermes_cli.config import load_config, cfg_get
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try:
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config = load_config()
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return cfg_get(config, key, default=default)
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except Exception:
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return default
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def set_config(self, key: str, value: Any) -> None:
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from hermes_cli.config import load_config, save_config, cfg_set
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config = load_config() or {}
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cfg_set(config, key, value)
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save_config(config) # handles atomic write + schema validation
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```
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### Concrete use case (kanban-advanced)
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Our `config_overlay.py` currently does:
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```python
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# Current: fragile YAML manipulation
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config = yaml.safe_load(Path(config_path).read_text())
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config["kanban"]["dispatch_stale_timeout_seconds"] = 14400
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Path(config_path).write_text(yaml.dump(config))
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```
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With this API:
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```python
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ctx.set_config("kanban.dispatch_stale_timeout_seconds", 14400)
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ctx.set_config("kanban.auto_decompose", False)
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```
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### Platform safety
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On Windows, our config writes hit `re.sub` backslash escape bugs because
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paths like `C:\Users\Owner` contain `\U` which Python interprets as a
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Unicode escape in replacement strings. Going through Hermes' own config
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manager eliminates this class of bug.
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---
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## Proposal 2: `ctx.register_config_schema()`
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### Current state
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Plugins with configuration (like kanban-advanced's `kanban-config.yaml`) have
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JSON Schemas that are invisible to `hermes doctor`, `hermes config check`, and
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the setup wizard. Users only discover configuration errors at runtime.
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### Proposed API
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```python
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class PluginContext:
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def register_config_schema(self, schema: dict) -> None:
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"""Register a JSON Schema for this plugin's config namespace.
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The schema validates keys under plugins.entries.<plugin_id>.config.
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After registration, `hermes config check` validates the plugin's
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config against this schema, and `hermes setup` can walk plugin
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config interactively.
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"""
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```
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### Manifest support (plugin.yaml)
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```yaml
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# plugin.yaml — optional schema declaration
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provides_config_schema: schema/kanban-config.schema.json
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```
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When present, the schema is loaded and registered automatically during plugin
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init — no explicit `register_config_schema()` call needed in `__init__.py`.
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### Concrete use case (kanban-advanced)
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Our kanban-config has 30+ keys with validation rules. Currently validation is
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done in our own scripts only. With this, `hermes doctor` would catch
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misconfigurations before they cause runtime failures.
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---
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## Proposal 3: `ctx.cron` — Cron API access
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### Current state
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Plugins that manage cron jobs (kanban-advanced provisions 5+ crons for
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auto_unblock, board_keeper, lifecycle, dashboard keepalive) must shell out to
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`hermes cron create/list/remove` via `subprocess.run()`. This is fragile:
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- Platform-dependent (bash vs cmd, path resolution)
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- No structured error handling
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- No idempotency guarantees
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- Cannot inspect job state programmatically
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### Proposed API
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```python
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class PluginContext:
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@property
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def cron(self) -> "PluginCronFacade":
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"""Return a facade for managing cron jobs owned by this plugin.
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All jobs created through this facade are tagged with the plugin's
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name, enabling bulk operations (list plugin jobs, remove all on
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uninstall).
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"""
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if self._cron is None:
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from hermes_cli.plugins import PluginCronFacade
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self._cron = PluginCronFacade(
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plugin_id=self.manifest.key or self.manifest.name
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)
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return self._cron
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class PluginCronFacade:
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def create(self, name: str, schedule: str, command: str, *,
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deliver: str = "local", skills: list[str] | None = None,
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idempotency_key: str | None = None) -> str:
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"""Create a cron job. Returns the job ID.
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When idempotency_key is set, returns existing job ID if a match exists.
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"""
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def list(self) -> list[dict]:
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"""List all cron jobs owned by this plugin."""
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def remove(self, job_id: str) -> bool:
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"""Remove a cron job by ID."""
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def get(self, job_id: str) -> dict | None:
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"""Get a single job's details."""
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def pause(self, job_id: str) -> bool: ...
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def resume(self, job_id: str) -> bool: ...
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```
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### Implementation sketch
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The `PluginCronFacade` delegates to the existing `CronManager` that powers
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`hermes cron` CLI — same validation, same scheduler integration. It adds
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plugin-namespacing via a `plugin_id` column on the jobs table (or a
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`plugin_id` tag in the job metadata).
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### Concrete use case (kanban-advanced)
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Our `kanban_handoff.py` currently does:
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```bash
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hermes cron create "30s" --name "auto_unblock" \
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--script scripts/auto_unblock.sh --deliver local
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```
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With this API:
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```python
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ctx.cron.create(
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name="auto_unblock",
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schedule="30s",
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command="bash scripts/auto_unblock.sh",
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deliver="local",
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idempotency_key="kanban-advanced-auto_unblock",
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)
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```
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---
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## Proposal 4: Config defaults in `plugin.yaml`
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### Current state
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Plugins that need non-default Hermes config values (kanban-advanced needs
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`dispatch_stale_timeout_seconds: 14400`, `auto_decompose: false`,
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`BLOCK_RECURRENCE_LIMIT: 5`) must apply them via bootstrap scripts. If the
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user forgets to run bootstrap, the system runs with unsafe defaults.
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### Proposed manifest field
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```yaml
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# plugin.yaml
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provides_config_defaults:
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kanban.dispatch_stale_timeout_seconds: 14400
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kanban.auto_decompose: false
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```
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On `hermes plugins install`, Hermes prompts the user with a diff of proposed
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config changes. On `hermes plugins update`, new defaults merge in (existing
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user overrides preserved). The prompt shows:
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```
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Plugin 'kanban-advanced' recommends these config changes:
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kanban.dispatch_stale_timeout_seconds: 900 → 14400
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kanban.auto_decompose: true → false
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Apply? [Y/n]
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```
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### Design constraints
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- **Never silently override user config** — always prompt
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- **First-install vs update** — first install applies all defaults; update
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only applies NEW keys that don't exist in user config
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- **Opt-out per key** — users can add keys to a `plugins.entries.<id>.config_defaults_skip`
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list to reject specific defaults permanently
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---
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## Cross-cutting concerns
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### Why these belong in PluginContext and not as separate CLI commands
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1. **Atomicity** — config writes go through the same config manager that
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handles migrations, schema validation, and concurrent access
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2. **Platform safety** — bypasses shell-level path issues on Windows
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3. **Plugin lifecycle** — cron jobs tagged by plugin can be bulk-removed on
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`hermes plugins remove`
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4. **No new env vars** — follows the AGENTS.md rule: behavioral settings in
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config.yaml, not env vars
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### Backward compatibility
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All four additions are purely additive:
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- Existing plugins that shell out to CLI continue to work
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- New methods are opt-in
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- Config schema registration doesn't affect existing config validation
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---
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## Related
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- kanban-advanced planned features: `plugin/data/references/planned-features.md`
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- Hermes AGENTS.md: "The core is a narrow waist; capability lives at the edges"
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- Discord plugin interface expansion discussion
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