Self Evolving Single Agent
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.
Install
$ agentstack add skill-agentlas-ai-agentlas-os-self-evolving-single-agent ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-agentlas-ai-agentlas-os-self-evolving-single-agent) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Self-Evolving Single Agent
Procedure
- Keep the package as one worker unless the user asks for a team.
- Run
docs/builder-interview-research-gate.mdbefore 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.
- 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.
- If the task depends on current sources, add a research-refresh command,
watchlist memory section, references, and optional scheduled workflow.
- 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.
- Make self-evolution proposal-first: draft patches or repair kits, then wait
for human approval before changing tools, connectors, secrets, or core instructions.
- Add
.agentlas/global-commands.jsonand 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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: agentlas-ai
- Source: agentlas-ai/Agentlas-OS
- License: Apache-2.0
- Homepage: https://agentlas.cloud
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.