aadityakumarsah/hermes/configure-channel
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Checking that the SKILL.md file is still in the repository.
Configure and prove a chat channel with non-interactive one-liners; secrets only as SecretRefs.
Install
npx vskill@latest install aadityakumarsah/hermes/configure-channelSKILL.md
The same SKILL.md was published earlier as openclaw/openclaw/configure-channel.
Configure a channel
Never print or persist secret values; channel tokens enter config only as SecretRefs, or through the in-session connect_channel flow where the operator types the secret into a masked prompt. Never hand-edit config files on disk. Every run ends with the observable Prove result or an exact explanation of why it could not be proven.
Gather
Confirm the exact config path before writing — key names differ per channel (channels.telegram.botToken, channels.discord.token, ...):
Mutate
Confirm the intended account and access changes with the operator before writing. Preserve existing approved allowlist entries, dmPolicy, and groupPolicy unless their replacement or change is explicitly approved; never broaden access to make a probe pass.
Preferred shell path — token staged as an env var on the gateway process or in a 0600 file, wired as a SecretRef (Telegram example):
With the bot connected and DM policy pairing, ask the operator to DM it. Read Your Telegram user id in the pairing reply, or run openclaw logs --follow and read senderUserId in that sender's telegram pairing request entry. Stop following once captured; keep unrelated logs private. If the current policy prevents this flow, use an already verified ID or report the discovery blocker; do not broaden access.
Use the numeric Telegram user ID, not a phone number, username, chat/group ID, or bot ID. In this single-user example, 123456789 is a placeholder: replace it with the verified, approved user ID and retain any other approved entries.
Multi-field changes in one validated write:
In-session alternative: call the connect_channel tool action with the channel id — the operator enters the token in a masked prompt, never in chat. Avoid openclaw channels add --token <value>: it puts the secret in argv and process listings.
Repair
doctor --lint can exit 1 for findings: read the report and continue the remaining checks. Ordinary doctor and doctor --non-interactive can write config/state; do not use them for diagnosis before approval. Apply openclaw doctor --fix --non-interactive only after explicit approval, then re-check status.
Prove
Send one real, clearly labeled test message and confirm delivery from the command result (use --dry-run first to inspect the payload):
If sending fails, report the exact account, permission, destination, or network blocker without exposing credentials.
Report
State the channel and account changed, the exact config paths written (never values), the test destination, and the observed delivery result. List any remaining operator action.
Further reference: https://docs.openclaw.ai/channels/telegram (and the matching page for other channels)
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingopenclaw/custodian-skills/configure-channel/SKILL.md
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