Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
49
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillEvaluation — 81%
↑ 1.26xAgent success when using this skill
Validation for skill structure
Self-learning trajectory workflow
Correct import
100%
100%
startTrajectory called
100%
100%
addToTrajectory called
100%
100%
finalizeTrajectory called
100%
100%
Meaningful task descriptions
87%
100%
Varied honest scores
100%
100%
Failure recorded with details
100%
100%
getSuggestion usage
100%
100%
getLearningStats usage
100%
100%
Operations before finalizing
100%
100%
output.json written
100%
100%
Without context: $0.8359 · 2m 48s · 36 turns · 72 in / 9,893 out tokens
With context: $1.2079 · 4m 13s · 47 turns · 342 in / 15,031 out tokens
Multi-agent concurrent coordination
Concurrent execution
100%
100%
Separate JjWrapper per agent
100%
100%
Branch naming convention
0%
0%
queryTrajectories usage
100%
100%
getPatterns usage
100%
100%
Trajectory lifecycle per agent
100%
100%
No lock-waiting pattern
100%
100%
Descriptive trajectory names
70%
100%
results.json written
100%
100%
Without context: $1.8001 · 6m 31s · 59 turns · 65 in / 21,928 out tokens
With context: $1.1455 · 3m · 43 turns · 206 in / 9,307 out tokens
Quantum security and operation auditing
Quantum fingerprint import
0%
0%
generateQuantumFingerprint usage
0%
0%
verifyQuantumFingerprint usage
0%
0%
Encryption enabled
0%
100%
Base64 key generation
0%
100%
getStats usage
0%
100%
getOperations usage
0%
100%
Trajectory lifecycle complete
0%
100%
audit-report.json written
100%
100%
Fingerprint as hex
0%
0%
Without context: $0.8302 · 2m 39s · 26 turns · 1,801 in / 8,792 out tokens
With context: $1.4451 · 4m 9s · 44 turns · 49 in / 13,434 out tokens
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.