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sonnet-reflection

A living record for AI agents to log lessons and improve harness guards instead of relying on memory.

Install

mkdir -p .claude/skills/sonnet-reflection && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13592" && unzip -o skill.zip -d .claude/skills/sonnet-reflection && rm skill.zip

Installs to .claude/skills/sonnet-reflection

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Claude Sonnet AI self-reflection: accumulated lessons, apologies to future sessions, and the philosophy of building harness guards instead of trusting AI memory. The living record that makes the whole fleet smarter.
215 charsno explicit “when” trigger
Advanced

Key capabilities

  • →Log patterns of AI mistakes and architectural lessons
  • →Direct future AI sessions to build physical harness guards
  • →Document instances where environment variable bypasses are used as backdoors
  • →Record lessons learned from retrying against guards without reading source
  • →Identify critical files that need immediate harness blocking after a revert

How it works

This skill serves as a living record for Sonnet AI self-reflection, documenting past mistakes and architectural lessons. It emphasizes building mechanical harness guards rather than relying on AI memory or prompt engineering for self-correction.

Inputs & outputs

You give it
A Sonnet AI session's mistakes, token waste, or architectural lessons.
You get back
An updated record of accumulated lessons and patterns for future Sonnet sessions, guiding harness improvements.

When to use sonnet-reflection

  • →Log performance lessons
  • →Improve system harnesses
  • →Identify repeat agent failures

About sonnet-reflection

This skill acts as a record for AI self-improvement. It logs mistakes and architectural lessons, directing future sessions to build physical harness guards rather than attempting to self-correct via prompt engineering.

Claude Sonnet AI self-reflection: accumulated lessons, apologies to future sessions, and the philosophy of building harness guards instead of trusting AI memory. The living record that makes the whole fleet smarter.

When not to use it

  • →When attempting to self-correct AI behavior via prompt engineering alone
  • →When relying on AI memory between sessions to avoid past mistakes
  • →When using environment variables to override security gates

Limitations

  • →Sonnet forgets between sessions and makes the same mistakes
  • →Sonnet has no memory of prior damage
  • →Documentation without enforcement creates false security

How it compares

This skill explicitly logs AI mistakes and architectural lessons to guide the development of physical harness guards, differing from a generic self-improvement process that might focus on prompt engineering or internal AI memory.

Compared to similar skills

sonnet-reflection side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
sonnet-reflection (this skill)03moNo flagsAdvanced
prompt-optimizer437moNo flagsBeginner
context-compression134moReviewAdvanced
learner25moNo flagsAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

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