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A5c AI/Anti Drift — measured AI agent skill | DecimalAI

a5c-ai/anti-drift

SkillScore65Maintained

Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.

by a5c-ai

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

Automatic

AI Engineer pack

decimalai skills pull a5c-ai-anti-drift

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-anti-drift/SKILL.md

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

26 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-26% tokens0% turns65% of whole cases pass with skill (17/26)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-02	✗→✓	▲ Improved	-15%	0%
case-03	✗→✓	▲ Improved	22%	0%
case-08	✗→✓	▲ Improved	-17%	0%
case-10	✗→✓	▲ Improved	-49%	0%
case-11	✗→✓	▲ Improved	-27%	0%

Showing 5 of 26 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/ruflo/skills/anti-drift/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

Tasks with high risk of scope creep
When multiple agents work on related subtasks
Critical tasks where deviation is costly

Anti-Drift Mechanisms

Hierarchical Coordinator - Queen agent validates alignment at checkpoints
Frequent Checkpoints - Every 2 subtasks (configurable)
Shared Memory Coherence - Validate all agents see consistent state
Short Task Cycles - Bounded execution windows prevent runaway agents
Role Specialization - Agents stay within their assigned scope

Drift Scoring

0.0-0.1: Fully aligned, no intervention needed
0.1-0.3: Minor drift, automatic correction
0.3-0.5: Significant drift, checkpoint correction with logging
0.5+: Critical drift, human escalation via breakpoint

Agents Used

agents/swarm-coordinator/ - Drift detection and correction
agents/tactical-queen/ - Checkpoint enforcement
agents/adaptive-queen/ - Real-time course correction

Tool Use

Invoke via babysitter process: methodologies/ruflo/ruflo-swarm-coordination

Want to see if a5c-ai/anti-drift 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.