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A5c AI/Patrol Monitoring — measured AI agent skill | DecimalAI

a5c-ai/patrol-monitoring

SkillScore96Maintained

Continuous monitoring using Deacon/Witness patterns for agent health checks, stuck detection, and automated recovery.

by a5c-ai

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

Automatic

DevOps & SRE pack

decimalai skills pull a5c-ai-patrol-monitoring

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-patrol-monitoring/SKILL.md

Raw file: /s/a5c-ai-patrol-monitoring/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-patrol-monitoring.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

23 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 9d ago

Yes — +65% lift-46% tokens0% turns96% of whole cases pass with skill (22/23)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	46%	0%
case-02	✗→✓	▲ Improved	31%	0%
case-03	✗→✓	▲ Improved	1040%	0%
case-04	✗→✓	▲ Improved	-67%	0%
case-05	✗→✓	▲ Improved	-69%	0%

Showing 5 of 23 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 7/31/2026

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

a5c-ai / babysitter

library/methodologies/gastown/skills/patrol-monitoring/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

When agents may become stuck or unresponsive
For long-running multi-agent workflows
When automated recovery is desired

Process

Health check all active agents and convoys
Detect stuck or unresponsive agents via heartbeats
Recover - restart, reassign, or escalate as needed
Report patrol findings with trend analysis

Monitoring Roles

Deacon: Daemon supervisor, monitors overall health
Witness: Per-rig lifecycle manager for workers
Boot (Dog): Watches the Deacon every 5 minutes

Recovery Modes

restart: Restart the stuck agent session
reassign: Move beads to a different agent
escalate: Alert human for manual intervention

Tool Use

Invoke via babysitter process: methodologies/gastown/gastown-patrol

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