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.
npx skills add S3YED/appie-kit --skill external-coding-agentsgit clone --depth 1 https://github.com/S3YED/appie-kitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/s3yed/appie-kit/external-coding-agents)<a href="https://agentmods.dev/skills/s3yed/appie-kit/external-coding-agents"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/external-coding-agents/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/s3yed/appie-kit/external-coding-agents"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/external-coding-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.01080 |
| Opus 5.5 | $0.00010 | $0.00432 |
| Sonnet 5.5 | $0.00005 | $0.00216 |
| Haiku 4.5 | $0.00003 | $0.00108 |
Grade A, and why
external-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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
External AI Coding Agents
Delegate coding work to third-party AI coding agents from within Hermes. These tools (Claude Code, Codex, OpenCode) are autonomous CLI agents that can read files, write code, run shell commands, and manage git workflows — each with its own strengths.
When to Delegate vs Do It Yourself
| Situation | Approach |
|---|---|
| Bug fix in a known file | Do it yourself with patch/write_file — faster, no overhead |
| Complex multi-file refactor | Delegate — the external agent has persistent context across files |
| Task needs a fresh perspective | Delegate — the external agent will spot things you might miss |
| CI/CD automation | Delegate — use print mode for clean automation |
| PR review of someone else's code | Delegate — the external agent can see the full diff in context |
| Research/reconnaissance | Delegate — agent can browse and explore independently |
| Simple one-line change | Do it yourself |
Common Orchestration Patterns
All three coding agents use the same core patterns:
Print Mode (Non-Interactive — Preferred)
Cleanest integration. No PTY, no dialog handling, structured output:
terminal(command="<agent> -p 'Add error handling to all API calls in src/'", workdir="/path/to/project", timeout=120)
PTY Background Mode (Interactive)
For iterative work needing multi-turn conversation. Use background=true, pty=true and process tool to monitor:
terminal(command="<agent>", workdir="~/project", background=true, pty=true)
process(action="submit", session_id="<id>", data="Implement OAuth refresh flow")
process(action="poll", session_id="<id>")
process(action="log", session_id="<id>")
process(action="kill", session_id="<id>")
Get the Diff Back
After delegation completes, always inspect what changed:
git diff
git diff --stat
Agent Decision Guide
| Need | Best Agent | Why |
|---|---|---|
| Best overall coding ability | Claude Code | Anthropic's most capable model, v2.2+, rich feature set |
| Cheapest / open-source preference | OpenCode | Provider-agnostic (OpenRouter, Anthropic, OpenAI, local models) |
| OpenAI ecosystem | Codex | OpenAI's autonomous agent, OAuth integration |
| PR review with inline comments | Claude Code | Built-in --from-pr flag, formal review workflow |
| Batch multi-issue fixing | Codex or OpenCode | Lightweight, parallel worktree pattern |
| Long-running autonomous session | Any | Use background=true + process tool for monitoring |
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.
- 1mo ago First seen · 108 lines · 26 tokens per session scan A 213aeb53d815
external-coding-agents is a skill published in the GitHub repository S3YED/appie-kit (12 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 1,080 once invoked, about $0.0001 per session on Opus 5.5. 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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