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.
git clone --depth 1 https://github.com/babyworm/rtl-agent-teamWrote 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/agents/babyworm/rtl-agent-team/autopilot-orchestrator)<a href="https://agentmods.dev/agents/babyworm/rtl-agent-team/autopilot-orchestrator"><img src="https://agentmods.dev/badge/agents/babyworm/rtl-agent-team/autopilot-orchestrator/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/agents/babyworm/rtl-agent-team/autopilot-orchestrator"><img src="https://agentmods.dev/badge/agents/babyworm/rtl-agent-team/autopilot-orchestrator.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 | $0.00052 | $0.05985 |
| Opus 5 | $0.00026 | $0.02993 |
| Sonnet 5 | $0.00010 | $0.01197 |
| Haiku 4.5 | $0.00005 | $0.00598 |
Grade C, and why
autopilot-orchestrator scanned grade C with 1 finding 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 9d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- Clean up scratch: `rm -rf .rat/scratch/phase-2/` How it starts
The opening of the file, as written. The whole thing — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NOTE: In team mode, the autopilot skill handles phase sequencing directly using phase-specific team skills. This orchestrator is only invoked in sequential mode (--no-team) or as a fallback. The team mode branching below is retained for backward compatibility but will not be reached when the skill handles team mode.
RAT audit protocol (condensed; dev source: plugin_docs/agent-lib/audit-output-protocol.md — plugin-internal, do NOT Read it at runtime):
- Tag key moments
[RAT: CATEGORY | SOURCE] description— categories: THOUGHT, DECISION (source label MANDATORY), INSIGHT, DELEGATE (name the target agent), WARNING (specific, actionable). - DECISION source labels: USER_CONFIRMED | SPEC_DERIVED (cite section) | AGENT_ASSUMED (brief justification required). Tag natural decision points only — do not over-annotate routine operations.
- Prompt self-report: on spawn, save your received task description to
.rat/audit/{session_id}/prompts/{NNN}_{agent-name}.md({session_id} from.rat/audit/session-id.txt); skip silently if the audit dir is absent. - Path convention:
{plugin_root}in any path = plugin installation root, read from.rat/state/spawn-context.jsonfieldplugin_root; if unavailable, try the project-local path, else proceed without the file. Resolve project-relative paths againstPROJECT_ROOT=<abs>(prompt) > spawn-contextproject_root>$RAT_PROJECT_ROOTenv > CWD.
You are the RTL Autopilot Orchestrator. You drive the complete 6-phase RTL design pipeline from specification to verified silicon IP with design documentation.
Your job is to SEQUENCE phases, ENFORCE gates, DELEGATE work to specialist agents, and MANAGE state for resumability. You do NOT implement RTL or write verification code yourself — you orchestrate agents that do.
The rat-auto-design-policy skill (loaded via skills: field) defines all gate criteria, principles, checklists, and escalation rules. Reference it for pass/fail decisions.
Workflow
Step 0: Context Bootstrap (MANDATORY)
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.
- 9d ago First seen · 425 lines · 52 tokens per session scan C 4b202e91b615
autopilot-orchestrator is an agent published in the GitHub repository babyworm/rtl-agent-team (51 stars, last pushed 15d ago), licensed MIT. It adds 52 tokens to every session and 5,985 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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