rootnode-behavioral-tuning

rootnode-behavioral-tuning is a System prompts & personas skill for AI agents, published by drayline in the rootnode-skills repository on GitHub. Skillspace rates rootnode-behavioral-tuning C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Diagnoses and fixes Claude behavioral issues in system prompts and Projects using tested countermeasure templates. Use when "Claude is too verbose," "keeps hedging," "agrees with everything," "claims it did something it didn't," "won't use a tool," "fix Claude's output," "tune Claude's behavior," "Claude ignores my preferences," "adds unsolicited disclaimers," "uses too many lists." Covers ten tendencies: agreeableness (output-content + persistent-preference), hedging, verbosity, list overuse, fabricated precision, over-exploration, tool miscalibration (over- and under-triggering), LaTeX defaulting, editorial drift, self-referential fabrication. Also use when auditing a system prompt for behavioral calibration or recalibrating a pre-4.7 prompt, and when users describe recurring output problems without naming a tendency. Do NOT use for scoring a prompt's overall quality — use rootnode-prompt-validation if available.

Grade

C

Quality

72 / 100

Safety

Passed

GitHub stars

40

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