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Agent fleet operations

Skill S3YED/appie-kit/skills/ops/agent-fleet-operations

Build Your Own AI Employee. The complete starter kit for OpenClaw + Hermes Agent. 155 deduplicated skills, drag-and-drop workspace, case studies, install scripts.

Install
npx -y skills add S3YED/appie-kit --skill agent-fleet-operations

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Operate Hermes-style agent fleets across machines: provision remote hosts, validate transport/auth, refresh knowledge packs, and recover provider or gateway runtime failures.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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Agent Fleet Operations

Use this skill when operating Hermes-style agents across one or more machines: bootstrapping a new node, refreshing an agent kit or knowledge pack, validating remote access, troubleshooting remote deploy failures, or recovering Hermes provider/gateway failures that prevent the agent from answering.

This is an umbrella skill. It absorbs the former fleet-provisioning and hermes-provider-troubleshooting skills. Load the protected hermes-agent skill first for authoritative Hermes CLI/config commands, then use this skill for fleet-level operational sequence and operator-specific lessons.

Core operating model

Treat each layer as a separate gate:

  1. Identity and ownership: which machine, account, Tailnet name/IP, and runtime profile are in scope?
  2. Network visibility: can the node be reached on the overlay or public network?
  3. Transport access: are SSH/VNC/HTTP control-plane ports open independently?
  4. Authentication: does the intended user/key/token actually work?
  5. Configuration: does Hermes point at the intended provider/model/runtime paths?
  6. Credentials and quota: are provider credentials fresh, scoped to this node, and not exhausted?
  7. Runtime readiness: is the gateway/service restarted and answering after changes?
  8. Artifact verification: did the files, knowledge pack, persona, or service entrypoint land where expected?

Do not collapse these gates. A node can answer Tailscale ping while refusing SSH. SSH port 22 can be open while public-key auth fails. Hermes config can be correct while OAuth is stale or quota is exhausted.

Remote provisioning workflow

Use for bootstrapping or refreshing remote agent hosts, Macs, VPS nodes, or Tailnet-hosted agents.

  1. Confirm target identity, owner, and intended user.
  2. Check Tailnet or network reachability.
  3. Check each required control-plane port separately.
  4. Prove shell access with a harmless command before running deploy scripts.
  5. Run deploy scripts in dry-run mode if available.
  6. Only then copy files, rsync knowledge packs, install services, or write persona/runtime files.
  7. Verify installed files and runtime entrypoints on the target.

Good commands:

tailscale ping -c 3 <host>
nc -z -G 3 <host> 22
nc -z -G 3 <host> 5900
ssh -o BatchMode=yes -o ConnectTimeout=10 <user>@<host> 'whoami && hostname'
ssh -vvv -o BatchMode=yes -o ConnectTimeout=10 <user>@<host> 'whoami'

Remote Mac / Leona lessons

For remote Mac deployments, never trust a deploy script's default login until ssh ... 'whoami' proves it. In one remote Mac deployment, Tailnet and port 22 were healthy, but the deploy script failed until the SSH user was corrected via an explicit environment variable.

See:

  • references/ssh-auth-denied-session.md

Keep concrete machine usernames, hostnames, Tailscale IPs, and one-off provisioning logs in private operational notes, not this public skill.

Hermes provider and gateway troubleshooting workflow

Use when Hermes Agent or its gateway fails because of provider/model/authentication issues: Provider authentication failed, OAuth refresh errors, HTTP 401/403/429, bad model names, fallback routing surprises, auxiliary-model failures, or gateway shutdowns after model changes.

Fast diagnostic sequence

  1. Check config first

    • Read ~/.hermes/config.yaml.
    • Confirm model.provider, model.default, provider-specific base_url, fallback providers, and auxiliary model/provider settings.
  2. Check auth state second

    • Read ~/.hermes/auth.json.
    • Inspect provider entries, credential pool state, and last_auth_error.
    • Never paste full tokens in chat or logs.
  3. Check gateway/provider logs third

    • Inspect ~/.hermes/logs/gateway.error.log, gateway.log, and errors.log for provider name, model name, HTTP status, retry count, last_auth_error, and fallback messages.
  4. Classify the failure

    • Config wrong: update via hermes config set or a targeted edit.
    • OAuth stale/reused: run provider login, then restart gateway.
    • Quota/429: choose a fallback or lower-cost model until quota resets.
    • Gateway stale after valid config/auth: restart gateway.
    • Auxiliary-only failure: fix auxiliary.*, not the primary model.
  5. Verify after changes

    • Restart the gateway after config/auth changes.
    • Confirm the active provider/model in a fresh session or logs.

OpenAI Codex OAuth refresh_token_reused

Hermes can be configured correctly for openai-codex while still failing because the OAuth refresh token was consumed by another Codex client.

Durable signal in ~/.hermes/auth.json:

last_auth_error.code = refresh_token_reused
message = Codex refresh token was already consumed by another client
relogin_required = true

Recovery on the target machine:

codex
hermes auth
hermes gateway restart

During hermes auth, choose openai-codex if prompted. This may require human browser/device approval and cannot always be completed silently by the agent.

See references/openai-codex-refresh-token-reused.md.

Reporting standard

When reporting operational blockers:

  • State which gate succeeded and which gate failed.
  • Say whether config is already correct before asking for config changes.
  • Name the blocker precisely: network, port, SSH auth, remote username, provider auth, quota, model name, auxiliary model, or gateway runtime.
  • Give exact next commands only when human action is required.
  • Do not paste secrets, tokens, or credential values.
  • Avoid tool-call play-by-play.

Good:

Config is already pointed at openai-codex / gpt-5.5. The blocker is OAuth: auth.json shows refresh_token_reused. Run codex, then hermes auth, choose openai-codex, then hermes gateway restart.

Good:

The node is visible on Tailnet and port 22 is open, but SSH auth is failing for the default user. Prove the correct login with ssh '<user>@<host> whoami' before rerunning deploy.

Pitfalls

  • Do not assume tailscale ping implies SSH, VNC, or HTTP readiness.
  • Do not assume open SSH port implies usable shell auth.
  • Do not run deploy/copy/install steps until the login has been proven with whoami.
  • Do not overwrite local memory stores, secrets, or runtime state unless the deploy explicitly calls for it.
  • Do not rewrite Hermes config just because a provider failed; classify auth/quota/runtime first.
  • Do not claim a provider is unsupported just because the current token is stale.
  • Do not copy provider credentials between machines or agents. Authenticate the target node.
  • If terminal execution is interrupted repeatedly, use file/skill/log inspection where possible and report the external OAuth or access blocker instead of retrying the same failing command loop.

Verification checklist

  • Target host, user, and profile are explicit.
  • Network reachability and control-plane ports were checked separately.
  • SSH/auth was proven with a harmless command before deploy.
  • Deploy or sync ran only after prerequisite gates passed.
  • Installed files/runtime entrypoints were verified on the target.
  • Hermes config was inspected before changing providers/models.
  • Auth/log evidence was inspected before labeling a provider failure.
  • Gateway was restarted after config/auth changes.
  • Final report identifies the failing gate without leaking secrets.

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