Use when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or improve itself over time without becoming a multi-agent team.
71%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/self-evolving-single-agent/SKILL.mdcontracts/builder-interview-research-gate.md before generation: ask an
8-12 question first batch, research official sources, similar agent
repositories or comparables, academic/professional theory, and plugin docs,
compare tool/plugin choices, and write the domain-expert synthesis plus
prompt-performance contract before creating the worker prompt..agentlas/memory-map.json;.agentlas/vault-references.json;docs/builder-interview.md, docs/research-sources.md,
docs/tool-selection.md, docs/domain-expert-synthesis.md,
docs/prompt-performance-contract.md, and
.agentlas/capability-eval-plan.json unless explicitly creating a minimal
private scaffold..agentlas/global-commands.json and one public global command for the
worker across Claude Code, Codex, Antigravity, generic AGENTS.md, and
terminal adapters.Return agent_package, skills, memory_contract, refresh_loop,
approval_gate, global_commands, and verification.
Private memory curation is autonomous. Every instruction, skill, tool, or manifest change requires a real staged multi-file diff, current source evidence, and an exact one-use owner approval receipt. Never treat a summary, low-risk label, Curator verdict, shell flag, or legacy chip as approval. Project memory requires a separately curated agent_repo candidate before proposal preparation. Use revision-v1/evolution-v2 host capabilities; block activation on older hosts.
agentlas-ai/Agentlas-OS
2b4e27b
Also appears in
since Oct 13, 2026
since Oct 7, 2026
since Aug 20, 2026
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.