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 agentmods add skills/pixel-process-ug/superkit-agents/autonomous-loopnpx skills add Pixel-Process-UG/superkit-agents --skill autonomous-loopgit clone --depth 1 https://github.com/Pixel-Process-UG/superkit-agentsWhat 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 | $0.00076 | $0.03023 |
| Opus 5 | $0.00038 | $0.01511 |
| Sonnet 5 | $0.00015 | $0.00605 |
| Haiku 4.5 | $0.00008 | $0.00302 |
Grade A, and why
autonomous-loop 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.
How it starts
The opening of the file, as written. The whole thing — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonomous Loop
Overview
The autonomous loop implements Ralph's iterative development methodology. Each iteration loads identical context (PROMPT + AGENTS files), executes one focused task, reports structured status, and persists state to disk for the next iteration. The loop continues until the dual-condition exit gate is satisfied. The core innovation is that deterministic conditions allow Claude to autonomously plan, build, and iterate toward quality without human intervention in the loop.
Announce at start: "I'm starting the autonomous loop. Loading context and beginning PLANNING mode."
Trigger Conditions
/ralphor/loopcommand invoked- Project has specs and is ready for iterative autonomous development
- Multi-task implementation that benefits from autonomous iteration
- User requests autonomous execution without per-task approval
Architecture
+--------------------------------------------------+
| AUTONOMOUS LOOP |
| |
| +----------+ +----------+ +-----------+ |
| | PLANNING |---→| BUILDING |---→| STATUS | |
| | MODE | | MODE | | CHECK | |
| +----------+ +----------+ +-----+-----+ |
| ^ | |
| | +-----------+ | |
| +------------| EXIT GATE|←-----+ |
| | (dual) | |
| +-----+-----+ |
| | |
| PASS: EXIT |
| FAIL: LOOP |
+--------------------------------------------------+
Phase 1: PLANNING MODE (Gap Analysis)
Goal: Analyze specs against implementation to identify and prioritize remaining work.
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.
- 2d ago First seen · 355 lines · 76 tokens per session scan A f31e5a83c954
autonomous-loop is a skill published in the GitHub repository Pixel-Process-UG/superkit-agents (1 stars, last pushed 5mo ago), licensed MIT. It adds 76 tokens to every session and 3,023 once invoked, about $0.0004 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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