coding-agents

A guide to delegating coding work to external command-line AI agents, including Claude Code, Codex, and OpenCode. It also describes parallel worktrees, interactive sessions, pull-request reviews, and a Kanban-based worker pattern.

In plain words
What is it for?
Use it to build features, refactor code, fix batches of issues, review pull requests, or run independent coding tasks in parallel.
Why use it?
It gathers setup, authentication, prompting, and workflow advice in one place for tasks that need autonomous exploration and several implementation steps.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/s3yed/appie-kit/coding-agents
Any agent
npx skills add S3YED/appie-kit --skill coding-agents
Clone the repo
git clone --depth 1 https://github.com/S3YED/appie-kit

Made for: Claude Code, Codex.

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,148 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00055 $0.03148
Opus 5 $0.00028 $0.01574
Sonnet 5 $0.00011 $0.00630
Haiku 4.5 $0.00006 $0.00315

Measured 2d ago against content hash 86290b1e5e32, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

coding-agents scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/autonomous-ai-agents/coding-agents/SKILL.md · 319 lines

How it starts

The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Coding Agents — Delegate to AI Coding CLIs

Delegate coding to external autonomous AI coding agent CLIs via Hermes terminal/process tools. This umbrella covers Claude Code (Anthropic), Codex (OpenAI), and OpenCode (provider-agnostic, open-source), plus the Kanban Codex Lane pattern for Hermes Kanban workers.

When to Use Coding Agents

Use any coding agent CLI when:

  • Building features, refactoring, or batch fixing issues
  • The task requires autonomous file exploration and multi-step reasoning
  • You want to run parallel implementation lanes

Do NOT use a coding agent when:

  • A small direct edit is faster and safer
  • The change touches secrets, credentials, or production order-entry systems
  • You need human judgment that can't be captured in a prompt

Shared Prerequisites

All coding agents need:

  • A git repository — most refuse to run outside one
  • Auth credentials (agent-specific, see sections below)
  • pty=true for interactive TUI sessions; print/one-shot mode may not need it

Section 1: Claude Code

Anthropic's autonomous coding agent CLI. v2.x can read files, write code, run shell commands, spawn subagents, and manage git workflows.

Install & Auth

npm install -g @anthropic-ai/claude-code
claude auth login                   # Browser OAuth
claude auth login --console         # API key billing
claude auth login --sso             # Enterprise SSO
claude auth status                  # Verify

Print Mode (PREFERRED for one-shot tasks)

# Non-interactive, exits when done. No PTY needed.
terminal(command="claude -p 'Add error handling to all API calls in src/' --allowedTools 'Read,Edit' --max-turns 10", workdir="/path/to/project", timeout=120)

Key flags: --allowedTools 'Read,Edit', --max-turns N, --max-budget-usd N, --output-format json, --json-schema '{...}', --continue (resume last session), --resume <id> (specific session), --bare (fastest startup, needs ANTHROPIC_API_KEY).

Read the full file on GitHub · 319 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 319 lines · 55 tokens per session scan A 86290b1e5e32

Subscribe to this mod's changes

coding-agents is a skill published in the GitHub repository S3YED/appie-kit (6 stars, last pushed 6d ago), licensed MIT. It adds 55 tokens to every session and 3,148 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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