Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
50
28%
Does it follow best practices?
Impact
88%
1.15xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./.claude/skills/agentic-jujutsu/SKILL.mdTrajectory lifecycle and self-learning workflow
Correct import
100%
100%
Trajectory start called
100%
100%
Meaningful task descriptions
100%
100%
addToTrajectory called
100%
100%
Finalize with honest scores
100%
100%
Valid score range
100%
100%
Failure recorded with critique
100%
100%
getSuggestion JSON.parse
100%
100%
getLearningStats JSON.parse
100%
100%
Lifecycle ordering
100%
100%
Output file present
100%
100%
Multi-agent concurrent coordination
Concurrent execution
100%
100%
Per-agent JjWrapper
0%
100%
No lock-based sequencing
100%
100%
Agent trajectory lifecycle
60%
100%
Distinct agent descriptions
100%
100%
getSuggestion JSON.parse
0%
100%
queryTrajectories JSON.parse
0%
100%
Confidence logged
100%
100%
queryTrajectories result used
100%
100%
Output file present
100%
100%
Quantum security and operation tracking
Named quantum imports
0%
0%
Buffer input to fingerprint
0%
0%
verifyQuantumFingerprint usage
0%
0%
Tamper detection shown
80%
70%
Encryption enabled
100%
100%
Random base64 key
100%
100%
getUserOperations used
100%
100%
getStats JSON.parse
100%
100%
Output file present
100%
100%
8db2712
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.