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 X-School-Academy/skill-pilot --skill dev-swarm-headless-ai-agentsgit clone --depth 1 https://github.com/X-School-Academy/skill-pilotWrote 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/x-school-academy/skill-pilot/dev-swarm-headless-ai-agents)<a href="https://agentmods.dev/skills/x-school-academy/skill-pilot/dev-swarm-headless-ai-agents"><img src="https://agentmods.dev/badge/skills/x-school-academy/skill-pilot/dev-swarm-headless-ai-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/x-school-academy/skill-pilot/dev-swarm-headless-ai-agents"><img src="https://agentmods.dev/badge/skills/x-school-academy/skill-pilot/dev-swarm-headless-ai-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 | $0.00056 | $0.01012 |
| Opus 5.5 | $0.00022 | $0.00405 |
| Sonnet 5.5 | $0.00011 | $0.00202 |
| Haiku 4.5 | $0.00006 | $0.00101 |
Grade A, and why
dev-swarm-headless-ai-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 16d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Builder - Headless AI Agents
This skill provides instructions for running popular AI code agents in headless (non-interactive) mode, enabling automation, scripting, and programmatic execution without user interaction.
When to Use This Skill
- Running AI code agents in automated pipelines or scripts
- Integrating AI agents into CI/CD workflows
- Executing batch tasks with AI agents programmatically
- Building web services or APIs that invoke AI agents
- Running AI agents without terminal interaction
Your Roles in This Skill
- DevOps Engineer: Configure and execute headless agent commands, set up automation pipelines, and handle environment configuration.
- Backend Developer: Integrate headless agents into applications, scripts, or services.
Role Communication
As an expert in your assigned roles, you must announce your actions before performing them using the following format:
As a {Role} [and {Role}, ...], I will {action description}
This communication pattern ensures transparency and allows for human-in-the-loop oversight at key decision points.
Instructions
Follow these steps to run an AI code agent in headless mode:
Step 1: Identify the AI Code Agent
Determine which AI code agent to run in headless mode. Route to the appropriate reference file:
- If using Claude Code, refer to
references/claude-code.md - If using Codex, refer to
references/codex.md - If using Gemini CLI, refer to
references/gemini-cli.md - If using other AI code agents, run
<agent-name> --helpto discover available flags for non-interactive/headless mode. Look for flags like--print,--non-interactive,--batch,--yes,--auto-approve, or similar
Step 2: Verify Installation
As a DevOps Engineer, verify the agent is installed:
# Claude Code
claude --version
# Codex
codex --version
# Gemini CLI
gemini --version
If not installed, use the dev-swarm-install-ai-code-agent skill.
Step 3: Choose Execution Mode
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 16d ago First seen · 131 lines · 56 tokens per session scan A ae4ad5e62bb8
dev-swarm-headless-ai-agents is a skill published in the GitHub repository X-School-Academy/skill-pilot (20 stars, last pushed 4mo ago), licensed MIT. It adds 56 tokens to every session and 1,012 once invoked, about $0.0002 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 2026-10-02.
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