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Ruvnet/Autopilot Loop — measured AI agent skill | DecimalAI

ruvnet/autopilot-loop

SkillScore82Maintained

Run an autonomous /loop iteration -- check progress, work on next task, schedule next wake

by ruvnet

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

AI Engineer pack

decimalai skills pull ruvnet-autopilot-loop

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/ruvnet-autopilot-loop/SKILL.md

Raw file: /s/ruvnet-autopilot-loop/SKILL.md ↗ · machine-readable summary at /s/ruvnet-autopilot-loop.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 2d ago

—-55% tokens0% turns82% of whole cases pass with skill (18/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-12	✗→✓	▲ Improved	-54%	0%
case-04	✗→✓	▲ Improved	-59%	0%
case-06	✗→✓	▲ Improved	-51%	0%
case-07	✗→✓	▲ Improved	-62%	0%
case-08	✗→✓	▲ Improved	-73%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/2/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

ruvnet / ruflo

plugins/ruflo-autopilot/skills/autopilot-loop/SKILL.md

View on GitHub ↗

License MITImported 8/2/2026Version v1

Skill contents

SKILL.md

Run one autopilot iteration using Claude Code's native /loop:

Check status: mcp__plugin_ruflo-core_ruflo__autopilot_status
If all tasks complete or max iterations reached, call mcp__plugin_ruflo-core_ruflo__autopilot_disable and stop
Get prediction: mcp__plugin_ruflo-core_ruflo__autopilot_predict for the optimal next action
Execute the predicted task (spawn agent, edit code, run tests, etc.)
Log via mcp__plugin_ruflo-core_ruflo__autopilot_log
Schedule next: ScheduleWakeup({ delaySeconds: 270, reason: "next autopilot iteration" })

Cache-Aware Scheduling

Always use delay 270s (under 300s cache TTL) to keep the prompt cache warm between iterations.

Task Sources

Autopilot discovers tasks from:

team-tasks: Claude Code TaskList entries
swarm-tasks: MCP task_list entries
file-checklist: Markdown checkbox items in tracked files

Configure: mcp__plugin_ruflo-core_ruflo__autopilot_config({ taskSources: ["team-tasks", "swarm-tasks"] })

Want to see if ruvnet/autopilot-loop would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.