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config-manager

Inspect and safely update Kabot configuration, model/memory/provider settings, channel account policies, allowlists, and related status or log evidence when debugging why a setting or runtime behavior is wrong.

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SKILL.md

Full skill instructions

Config Manager

Use this skill when the user asks whether a Kabot setting is enabled, why a config value is not taking effect, why a model/​provider/​channel setup is failing, or asks you to safely edit Kabot config after reviewing the current state.

Use this skill for

  • ~/​.kabot/​config.json, config.json.bak, or mode_config.json
  • model/​provider/​memory/​backend settings
  • channel settings such as WhatsApp, Telegram, Discord, accounts, allowlists, pairing, or login-related config
  • conflicting top-level vs per-account config
  • invalid JSON, missing keys, missing env-backed settings, or wrong defaults
  • runtime issues where the next grounded step is to inspect config, status output, or logs before changing anything

Grounding rules

  • Read the real config first. Do not guess from defaults.
  • When the issue is runtime behavior, inspect the relevant status output and logs before proposing a fix.
  • Separate explicit config from code fallback/​default behavior. Say which is which.
  • Prefer the smallest safe config change that resolves the issue.
  • Ask for approval before any state-changing edit, restart, reload, relink, or destructive cleanup.

Files and evidence to inspect

  • ~/​.kabot/​config.json
  • ~/​.kabot/​config.json.bak
  • ~/​.kabot/​mode_config.json
  • ~/​.kabot/​logs/
  • relevant workspace docs/​bootstrap files if the user references them
  • relevant runtime status output if available

Workflow

  1. Ground the request in real evidence
  • Identify the exact setting, subsystem, or symptom the user cares about.
  • Read only the relevant config sections first.
  • If the user asks "is X configured?", answer from the file, not from assumption.
  • If the issue is a runtime error, compare config with the latest relevant log/​status evidence.
  1. Diagnose before editing
  • Quote the current relevant values briefly.
  • Call out missing keys, conflicting overrides, duplicated account blocks, malformed JSON, or env/​config gaps.
  • If the value is not explicitly set, say whether Kabot is falling back to a code default and where that default comes from.
  1. Propose the minimal fix
  • Show the exact field(s) to add, remove, or change.
  • Explain why the change is needed.
  • Mention any risk such as relogin, restart, account routing change, or lost fallback behavior.
  1. Execute only after approval
  • Edit only the approved scope.
  • Preserve backups when possible.
  • Validate JSON after editing, for example with:
python -m json.tool ~/​.kabot/​config.json

or:

jq '.' ~/​.kabot/​config.json
  1. Verify after change
  • Re-read the changed config section.
  • If the change requires reload/​restart, do that only with approval.
  • Re-check status/​log evidence and say whether the fix is verified or still pending.

Channel/​account troubleshooting reminders

  • Compare top-level channels.<name> settings with per-account overrides under accounts.
  • Watch for duplicated allowlists, mismatched policies, or multiple accounts creating ambiguous routing.
  • For pairing/​login/​session issues, distinguish config problems from auth/​session problems. Do not blame config if the logs show the session is simply logged out.

Model and memory reminders

  • For "is model X configured?" or "is embedding model Y set?", inspect config first.
  • If the setting is absent, say whether Kabot will fall back to a runtime default and cite the relevant code/​config source if needed.
  • Do not claim a local model is active unless config or status/​log evidence supports it.