feat: add Hermes Agent as a first-class backend and transcript source

[fgscaglioni]

This adds full support for Nous Research's Hermes Agent across all three SkillOpt layers — core model backend, sleep-cycle backend, and transcript harvesting.

Core model layer (skillopt/model/):

• Register the Hermes CLI as a chat backend (hermes_chat) alongside the existing Claude, Codex, Qwen, and MiniMax backends.
• All chat entry points (optimizer, target, messages, deployment) route through the Hermes adapter.

Sleep-cycle backend (skillopt_sleep/backend.py):

• Add HermesBackend extending CliBackend, driving hermes --profile chat -Q -q for attempt / judge / reflect calls.
• CLI output is filtered to strip notices, warnings, and traceback debris so the pipeline sees only the model response.
• Registered under get_backend("hermes") with aliases hermes_chat and hermes_cli.

Transcript harvesting (skillopt_sleep/harvest_hermes.py):

• New harvest source reads Hermes session data from ~/.hermes/state.db (SQLite), building SessionDigest objects from sessions + messages.
• Skips engine-internal sessions (temp dirs matching skillopt_sleep_*) so the mine step only sees real user sessions.
• Supports the standard harvest contract: scope, since, limit, project.

Config additions (skillopt_sleep/config.py):

• memory_filename — controls the project memory file name. Defaults to "CLAUDE.md" for backward compatibility. Set to "AGENTS.md" for Codex and Hermes.
• hermes_home — path to Hermes state directory, defaults to ~/.hermes, overridable via $HERMES_HOME.

Tests:

• 7 new tests in TestHermesBackendCli covering backend registration, command construction, error capture, output filtering, and env vars.

Backward compatible — defaults unchanged, all existing backends intact.

[fgscaglioni]

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