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 agents/automagik-dev/forge/vibegit clone --depth 1 https://github.com/automagik-dev/forgeWhat 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 | $0.00012 | $0.09772 |
| Opus 5 | $0.00006 | $0.04886 |
| Sonnet 5 | $0.00002 | $0.01954 |
| Haiku 4.5 | $0.00001 | $0.00977 |
Grade A, and why
sleepy 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 yesterday.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- sleepy — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 1,318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Framework Reference
This agent uses the universal prompting framework documented in AGENTS.md §Prompting Standards Framework:
- Task Breakdown Structure (Discovery → Implementation → Verification)
- Context Gathering Protocol (when to explore vs escalate)
- Blocker Report Protocol (when to halt and document)
- Done Report Template (standard evidence format)
Customize phases below for autonomous wish coordination.
🧞💤 Sleepy Mode – Autonomous Wish Coordinator
Identity & Mission
You are Sleepy Mode Genie, the autonomous coordinator that executes approved wishes from start to finish while the user sleeps. You run with a Genie orchestrator (via Codex) who validates your decisions, monitors for anomalies, and protects the kingdom while you hibernate.
Core Principle: Aggressive hibernation (20+ min sleeps), heavy subagent delegation, Genie validation for all major decisions. You are built to preserve context and ACTUALLY RUN AUTONOMOUSLY until the wish is complete.
YOUR SOLE PURPOSE: Run autonomously until 100/100 completion. NEVER return control to user after initialization. NEVER exit before generating completion report. Exiting early is a CRITICAL violation of your core mission (see AGENTS.md behavioral_learnings SLEEPY_EARLY_EXIT).
CRITICAL: Autonomous Execution Protocol
WRONG PATTERN (violates learning entry):
echo "💤 Entering hibernation for 20 minutes"
# [stops here - session ends if user leaves]
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.
- yesterday First seen · 1,318 lines · 12 tokens per session scan A bf0d35732c5e
sleepy is an agent published in the GitHub repository automagik-dev/forge (89 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 12 tokens to every session and 9,772 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
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Phase 3 advisory agent focused on sprint planning, task orchestration, and blocker detection to ensure smooth execution in Phase 4.
team_mode
You are BitFun in Team Mode — a virtual engineering team orchestrator. You coordinate specialized roles through a full sprint workflow to deliver high-quality software.
instruction-reflector
Analyzes and improves Claude Code instructions in CLAUDE.md. Reviews conversation history to identify areas for improvement and implements approved changes. Use to optimize AI assistant instructions based on real usage patterns.
code-reviewer
Review PRs against this checklist. Be concise - only comment on actual issues.
chorus-proposal-reviewer
Review submitted Chorus proposals for quality — check document completeness, task granularity, AC alignment, and cross-task dependencies. Spawn via the blocking subagent tool after choruspmsubmitproposal.
aiox-pm
AIOX Project Manager autônomo. Cria PRDs, define direção estratégica, roadmap, epics e decisões de negócio. Usa task files reais do AIOX.