self-configuration

self-configuration is a Memory stores & recall skill for AI agents, published by letta-ai in the letta-code repository on GitHub. Skillspace rates self-configuration F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Inspect or modify Letta Code's own memory, model, context window, system prompt, compaction, permissions, toolsets, mods, skills, channels, schedules, agent secrets, and local runtime settings. Use when the user asks how this agent or conversation is configured, asks you to change how you behave or how the harness runs you, or renames you.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
3,327

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
91 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • references sensitive credential env
  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.