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Agent skill

Self Evolving Single Agent

by agentlas-ai in agentlas-ai/Agentlas-OS

A skill your agent uses when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or improve itself over time without becoming a…

Apache-2.0Auto-check passedAgent Workflows

Install Self Evolving Single Agent

skills CLI
$ npx skills add agentlas-ai/Agentlas-OS --skill self-evolving-single-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentlas-ai/Agentlas-OS self-evolving-single-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/self-evolving-single-agent .claude/skills/self-evolving-single-agent && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
self-evolving-single-agent
GitHub stars
1.6k
Token cost
~468 tokens
SKILL.md length
174 words
Files
1
Skills in repo
53
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or improve itself over time without becoming a…

  • Works in 7 steps: Keep the package as one worker unless… → Run… → Add memory architecture even for the… → …
  • Generating a single installable agent that should keep learning
  • SKILL.md covers Procedure and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Self Evolving Single Agent is an agent skill from agentlas-ai/Agentlas-OS. 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.

Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model. The licence is Apache-2.0.

When your agent uses it

  • Generating a single installable agent that should keep learning
  • Refresh research
  • Propose repairs
  • Improve itself over time without becoming a multi-agent team

Example prompts

  • “/self-evolving-single-agent”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Keep the package as one worker unless the user asks for a team.
  2. Run contracts/builder-interview-research-gate.md before generation: ask an
  3. Add memory architecture even for the single worker
  4. If the task depends on current sources, add a research-refresh command,
  5. Add docs/builder-interview.md, docs/research-sources.md,
  6. Make self-evolution proposal-first: draft patches or repair kits, then wait
  7. Add .agentlas/global-commands.json and one public global command for the

What it can do on your machine

Read from SKILL.md and the folder at commit cfdebf8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Self Evolving Single Agent loads about 468 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 174 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~468

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from agentlas-ai/Agentlas-OS at commit cfdebf8, republished under its Apache-2.0 licence (© agentlas-ai). 174 words, ~468 tokens.

Download SKILL.mdSave it as .claude/skills/self-evolving-single-agent/SKILL.md (or your agent's skills folder).
name
self-evolving-single-agent
description
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.

Self-Evolving Single Agent

Procedure

  1. Keep the package as one worker unless the user asks for a team.
  2. Run contracts/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.
  3. Add memory architecture even for the single worker:
    • .agentlas/memory-map.json;
    • .agentlas/vault-references.json;
    • project memory owned by PM Soul/project owner;
    • Memory Events and Memory Tickets for durable updates.
  4. If the task depends on current sources, add a research-refresh command, watchlist memory section, references, and optional scheduled workflow.
  5. Add 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.
  6. Make self-evolution proposal-first: draft patches or repair kits, then wait for human approval before changing tools, connectors, secrets, or core instructions.
  7. Add .agentlas/global-commands.json and one public global command for the worker across Claude Code, Codex, Gemini CLI, generic AGENTS.md, and terminal adapters.

Output

Return agent_package, skills, memory_contract, refresh_loop, approval_gate, global_commands, and verification.

© agentlas-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/self-evolving-single-agent of agentlas-ai/Agentlas-OS.

Open the folder on GitHubat commit cfdebf8

Compare with similar skills

Self Evolving Single Agent next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Self Evolving Single Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Self Evolving Single Agent this skillagentlas-ai/Agentlas-OS1.6k—~468Automated safety check: PassApache-2.0
MCP Server Builderanthropics/skills180k64 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k11 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0

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  • Routing Card Authoring

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Categories

Questions about Self Evolving Single Agent

What does Self Evolving Single Agent do?

A skill your agent uses when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or improve itself over time without becoming a…. Self Evolving Single Agent is an agent skill from agentlas-ai/Agentlas-OS. 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.

When should I use Self Evolving Single Agent?

Self Evolving Single Agent fits situations like: generating a single installable agent that should keep learning; refresh research; propose repairs; improve itself over time without becoming a multi-agent team.

How do I install Self Evolving Single Agent in Claude Code?

Run `npx skills add agentlas-ai/Agentlas-OS --skill self-evolving-single-agent -a claude-code`. Or copy the skill folder (skills/self-evolving-single-agent in agentlas-ai/Agentlas-OS) into .claude/skills/self-evolving-single-agent in your project. Claude Code loads it when a task matches its description.

How do I install Self Evolving Single Agent in Codex?

Run `npx skills add agentlas-ai/Agentlas-OS --skill self-evolving-single-agent -a codex`. Or copy the skill folder (skills/self-evolving-single-agent in agentlas-ai/Agentlas-OS) into .agents/skills/self-evolving-single-agent in your project. Codex loads it when a task matches its description.

Can I use Self Evolving Single Agent in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentlas-ai/Agentlas-OS --skill self-evolving-single-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/self-evolving-single-agent, .gemini/skills/self-evolving-single-agent, .github/skills/self-evolving-single-agent and .opencode/skills/self-evolving-single-agent in your project.

What does Self Evolving Single Agent need to run?

SKILL.md names no scripts, command-line tools or credentials: Self Evolving Single Agent is instructions for the agent only.

Does Self Evolving Single Agent access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Self Evolving Single Agent safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Self Evolving Single Agent use?

Self Evolving Single Agent is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Self Evolving Single Agent use?

About 468 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Self Evolving Single Agent?

Skills that share tags, products or a category with Self Evolving Single Agent: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Self Evolving Single Agent?

agentlas-ai (a GitHub organization) maintains it in agentlas-ai/Agentlas-OS, which has 1,575 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on October 6, 2026.

Source: agentlas-ai/Agentlas-OS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.