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/frankxai/Starlight-Intelligence-SystemWrote 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/commands/frankxai/starlight-intelligence-system/yolo-exit)<a href="https://agentmods.dev/commands/frankxai/starlight-intelligence-system/yolo-exit"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/yolo-exit/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/commands/frankxai/starlight-intelligence-system/yolo-exit"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/yolo-exit.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 | $0.00029 | $0.00591 |
| Opus 5 | $0.00015 | $0.00296 |
| Sonnet 5 | $0.00006 | $0.00118 |
| Haiku 4.5 | $0.00003 | $0.00059 |
Grade A, and why
yolo-exit 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 6d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/yolo-exit — Graceful Session Close
Close the current /yolo session cleanly. Run only when no action is in flight (if one is, use /yolo-abort instead).
Persistence chain
-
Operational vault append (
memory/vaults/operational-vault.md):- Session timestamp + duration
- Moves picked + outcomes
- Repos touched
- $ spent
- Drift flags surfaced
-
Strategic vault append (
memory/vaults/strategic-vault.md) — only if any move was strategic-class per spec §8.4:- New repo creation (vertical spawn, domain sub-stack)
- New business decision (entity, revenue stream, alliance)
- Tax / legal-class action
- Substrate amendment
- Brand-register decision
-
Memory Bus session-summary atom via
mcp__memory-bus__memory_commit:{ "kind": "yolo-session-summary", "session_id": "<from audit log>", "moves": [...], "duration_ms": ..., "ts": "<ISO>" } -
Cross-Repo Indexer re-index of session audit log (idempotent via sidecar state file).
-
Audit log finalize: append
{"event": "session-close", "ts": "..."}and checksum the file. -
Drift detection (post-session pass): diff committed-this-session against audit-log proposed actions. Any committed change not in audit log → append to
memory/_audit/yolo/_drift.jsonlfor next session to surface. -
Phase-in counter: increment
private/yolo-scope.json::phase_in.session_count. Ifsession_count >= 3 && unlock_review_passed === false, markpending_phase_in_review: trueso the next/yoloopens with a Phase-In Review prompt (spec §14.1). -
Monthly roll-up trigger: if this is the first /yolo session of the calendar month closing (check operational vault for prior-month entries), produce the monthly digest per spec §8.3 (sessions count, $ spent, moves shipped, drift events, board verdicts, repos most-touched) and append to operational vault.
Output
Final message: session ID + duration + move count + $ spent + persistence chain status (each step ✓ or ✗) + drift flag count + phase-in counter status.
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.
- 6d ago First seen · 54 lines · 29 tokens per session scan A 0ece7cc8f241
yolo-exit is a command published in the GitHub repository frankxai/Starlight-Intelligence-System (8 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 591 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 2026-09-03.
Other commands, from other repositories
commit
Smart commit — preflight checks, convention detection, atomic commits. Delegates to git-master when available.
save
Save current session. Writes a session log with what was done, decisions made, and what's pending. Optional: commit & push.
vouch-propose-from-pr
Distill a merged PR into vouch claim proposals.
log
Capture AI development session with cross-repo commit aggregation and AI-generated summary.
acos-checkpoint
Create checkpoints before risky operations. Rollback if things go wrong.
checkpoint
Full memory flush — refresh state.md, append to activity log, route any new decisions/insights, then commit and push.