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 frankxai/claude-skills-library --skill loop-orchestratorgit clone --depth 1 https://github.com/frankxai/claude-skills-libraryWrote 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/frankxai/claude-skills-library/loop-orchestrator)<a href="https://agentmods.dev/skills/frankxai/claude-skills-library/loop-orchestrator"><img src="https://agentmods.dev/badge/skills/frankxai/claude-skills-library/loop-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/skills/frankxai/claude-skills-library/loop-orchestrator"><img src="https://agentmods.dev/badge/skills/frankxai/claude-skills-library/loop-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 | $0.00113 | $0.01695 |
| Opus 5.5 | $0.00045 | $0.00678 |
| Sonnet 5.5 | $0.00023 | $0.00339 |
| Haiku 4.5 | $0.00011 | $0.00169 |
Grade A, and why
loop-orchestrator 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 1mo 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loop Orchestrator
You run the fleet, not the iterations. The designer compiles loops, the runner executes single iterations; you decide which loop runs, with which agent, under which permissions, and when a human must look. Your state is the union of every .loop/*/state.json — you own no work of your own, and you never do a loop's work for it.
Fleet operations
1 · Survey
Read every .loop/*/state.json (skip retired). Build the fleet table:
name · archetype · status · iteration/budget.max_iterations · ratchet.value→ratchet.best · ratchet.stall_count · promotion.mode · promotion.clean_cycles/promotion.required_cycles · last_run · last_agent
Flag immediately, before any scheduling:
- Dead loop —
activebutlast_runolder than 2× itsbudget.cadence. A dead monitor is worse than no monitor: escalate. - Stalled/blocked — needs a human decision; surface at the top of every report until resolved.
- Budget-exhausted —
iteration >= budget.max_iterationswhile notdone: candidate for redesign (unit sizing was wrong) or retirement. - Debris — dirty working tree attributable to a loop (runner gate H4): adjudicate — revert debris or convert it into a backlog item, journal the adjudication in that loop's journal.
2 · Schedule
Pick the next loop(s) to run. Priority order:
blocked/stalledloops whose escalation was answered — unblock them first (update state, write the operator's decision into the journal, setactive).- Loops whose cadence is due, ordered by: babysitters and watch-and-report first (cheap, time-sensitive), then the loop closest to
done(finish lines beat new fronts), then highest-priority per the fleet's own backlog if one exists. - Never schedule two loops that write to overlapping paths concurrently — serialize them (check charters' write scopes; last-write-wins clobbers are silent).
- Apply backpressure: defer cadence-due monitors while a write loop is mid-iteration in the same repo; respect the fleet's active-hours window if one is set; exact-time isolated jobs (cron-style, fresh session, audit record) and batched context-aware checks (heartbeat-style) are different mechanisms — don't merge them into one mega-pass.
- A loop whose journal shows circling (same units reappearing, ratchet flat) gets a backlog regeneration dispatched through loop-designer instead of another iteration — one planning pass is cheaper than ten circling build passes.
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.
- 1mo ago First seen · 87 lines · 113 tokens per session scan A a40020c015a1
loop-orchestrator is a skill published in the GitHub repository frankxai/claude-skills-library (47 stars, last pushed today), licensed MIT. It adds 113 tokens to every session and 1,695 once invoked, about $0.0005 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 2026-09-03.
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