Hermes CCC — Claude Code Channel Skills

Hermes CCC uses the Hermes Agent framework to delegate discrete coding tasks to Claude Code (Anthropic's CLI coding agent, powered by Claude 3.5 Sonnet) through two execution channels. The agentic reasoning step occurs when Hermes evaluates incoming task complexity and selects either print-mode for deterministic file edits with visible diff output or interactive tmux mode for multi-turn debugging sessions requiring back-and-forth. This is not a simple script call. Hermes monitors session health, captures stdout/stderr streams, and can terminate hung processes automatically. The system queues multiple coding tasks from different channels — Slack, Telegram, or direct CLI — and manages concurrent capacity limits. A session dashboard in Hermes shows active tmux windows, elapsed time, token usage, and exit status per task. Teams reclaim 10-15 hours per week by eliminating context-switching between planning and execution, with Claude Code completing 70-80% of routine coding tasks without human intervention.

BUSINESS PROBLEM

A senior developer managing a 5-person team spends 40% of their week on context-switching overhead — reading tickets, reproducing bugs locally, writing one-off scripts, and reviewing trivial PRs. Each time Slack notifies them of a quick coding request, they lose an average of 23 minutes regaining full focus on their primary task (Source: RescueTime, 2024). At $85/hour fully loaded, a team of 5 loses $650-1,000 per week to context-switch recovery alone. The deeper problem is that Claude Code is powerful but single-threaded in its default CLI mode. A developer must stop what they are doing, open a terminal, navigate to the right repo, craft the prompt, wait for output, review the diff — then return to their original task. Hermes CCC eliminates that cycle by turning Claude Code into a queueable, monitorable, channel-accessible service that the whole team can submit work to without interrupting anyone.

WHO BENEFITS

Engineering leads at startups with 5-15 person teams: you are the bottleneck on every PR because teammates Slack you for setup help, script reviews, or one-off fixes. This workflow queues those requests so you stay in flow while Claude Code handles the queue.

Senior individual contributors working across 3-4 repos weekly: you lose 2-3 hours per day to environment switching. Hermes CCC lets you submit tasks from your current context and review results when ready.

Platform teams managing internal developer tools: you maintain scripts, CI fixes, and infrastructure code that generates constant interrupt-driven requests. Channeling all of it through Hermes CCC with Claude Code handles 60-70% of ticket volume autonomously.

HOW IT WORKS

1. Task Intake. A developer sends a coding request through a Hermes channel — Slack slash command, Telegram message, or CLI input. Hermes parses the natural language request and extracts repo path, task type (edit, debug, script), and constraints. Output: structured task JSON.

2. Complexity Assessment. Hermes applies a 3-factor scoring model — file count affected, dependency depth, and ambiguity in the request — to classify the task as simple (print-mode eligible) or complex (tmux session required). This is the agentic decision point.

3. Channel Selection. For simple tasks (single-file edit, known pattern), Hermes spawns Claude Code in print-mode: pass the prompt, receive the diff, capture the output. No interactive shell needed.

4. Interactive Session. For complex tasks (multi-file refactor, debugging), Hermes opens a named tmux session, launches Claude Code inside it, and pipes the task prompt. The session gets a unique ID.

5. Live Monitoring. Hermes attaches a watcher to the tmux session, capturing every stdout line, tracking elapsed wall time, counting tokens consumed, and recording exit code. Output: streaming log buffer.

6. Human Review. When Claude Code finishes or hits a decision point, Hermes pauses and sends a notification to the requesting developer with a diff preview and approval prompt.

7. Approval or Rejection. The developer approves, rejects, or edits the proposed changes via the original channel. Hermes relays the decision to Claude Code.

8. Artifact Storage. Completed diffs, session logs, and exit codes are saved to a local or S3 store keyed by task ID. Output: archived session record available for audit.

TOOL INTEGRATION

Hermes Agent (latest). Role: orchestrator that receives incoming tasks, classifies complexity, spawns Claude Code, and monitors execution. API key: configured via HERMES_API_KEY environment variable or .env file. Scope: channel read/write access and process spawning. Rate limit: none internal, depends on downstream tool capacity. Gotcha: Hermes does not auto-install Claude Code — you must have claude CLI installed and authenticated before the first task dispatch.

Claude Code (CLI, latest). Role: execution engine that receives natural language prompts and produces file edits, scripts, or debugging output. Authentication: requires claude login with an Anthropic Console API key at console.anthropic.com. Scope: filesystem access within the repo directory. Rate limit: depends on your Anthropic plan — Tier 1 allows 5 requests/minute, Tier 4 allows 500 requests/minute. Gotcha: Claude Code's print-mode does not support multi-turn conversation; use interactive tmux mode for tasks requiring back-and-forth.

tmux (latest, via package manager). Role: session manager that provides isolated terminal environments for each interactive Claude Code task. Configuration: no API key needed, but tmux must be installed and the user must have permission to create named sessions. Scope: session creation, window management, and output capture. Rate limit: limited only by system memory — each session consumes ~5 MB overhead.

ROI METRICS

1. Weekly interrupt recovery time: 8-12 hours lost to context switching → under 2 hours with task queuing (Source: RescueTime, 2024)
2. Routine coding task throughput: 5-8 tasks/day per developer → 18-25 tasks/day with parallel Claude Code sessions
3. PR review cycle time: 24-48 hours from request to review → 30-90 minutes for Claude Code-generated diffs
4. First-week measurable: Slack-to-diff turnaround — average drops from 45 minutes to 4 minutes for print-mode tasks
5. Cost per task at $85/hr developer rate: $56-113 per manual coding request → $0.10-0.50 in Claude Code API costs

CAVEATS

1. Print-mode hallucination risk: Claude Code may produce diffs that look correct but introduce subtle logic errors. Always review print-mode diffs before applying — the approval step is mandatory for a reason.
2. Tmux session orphan risk: if the Hermes process crashes mid-task, a tmux session may remain running. Set up a cron job or service manager to reap orphaned sessions older than 24 hours.
3. API cost overrun: interactive debugging sessions can consume 200,000+ tokens in a single conversation. Set a per-session token budget of 500K tokens maximum in Claude Code's configuration.
4. Does not handle: tasks requiring external API credentials (deploy keys, cloud provider tokens) unless you pre-configure them in the repo environment.