evolve

A command that groups related saved coding instincts and suggests turning them into higher-level skills, commands, or agents.

In plain words
What is it for?
Use it to review all instincts and find clusters. With generation enabled, it creates the resulting files under skill, command, or agent folders.
Why use it?
It helps organize many small lessons into clearer reusable tools instead of leaving them as separate notes.

Command

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/zhmxiaowo/opencode-simple/evolve
Clone the repo
git clone --depth 1 https://github.com/zhmxiaowo/opencode-simple
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,051 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 97% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00015 $0.01051
Opus 5 $0.00008 $0.00526
Sonnet 5 $0.00003 $0.00210
Haiku 4.5 $0.00002 $0.00105

Measured yesterday against content hash 2299b18847ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

evolve scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

97% identical to evolve — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.opencode/commands/evolve.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evolve Command

Implementation

Run the instinct CLI using the plugin root path:

python3 "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/scripts/instinct-cli.py" evolve [--generate]

Or if CLAUDE_PLUGIN_ROOT is not set (manual installation):

python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py evolve [--generate]

Analyzes instincts and clusters related ones into higher-level structures:

  • Commands: When instincts describe user-invoked actions
  • Skills: When instincts describe auto-triggered behaviors
  • Agents: When instincts describe complex, multi-step processes

Usage

/evolve                    # Analyze all instincts and suggest evolutions
/evolve --generate         # Also generate files under evolved/{skills,commands,agents}

Evolution Rules

→ Command (User-Invoked)

When instincts describe actions a user would explicitly request:

  • Multiple instincts about "when user asks to..."
  • Instincts with triggers like "when creating a new X"
  • Instincts that follow a repeatable sequence

Example:

  • new-table-step1: "when adding a database table, create migration"
  • new-table-step2: "when adding a database table, update schema"
  • new-table-step3: "when adding a database table, regenerate types"

→ Creates: new-table command

→ Skill (Auto-Triggered)

When instincts describe behaviors that should happen automatically:

  • Pattern-matching triggers
  • Error handling responses
  • Code style enforcement

Example:

  • prefer-functional: "when writing functions, prefer functional style"
  • use-immutable: "when modifying state, use immutable patterns"
  • avoid-classes: "when designing modules, avoid class-based design"

→ Creates: functional-patterns skill

→ Agent (Needs Depth/Isolation)

When instincts describe complex, multi-step processes that benefit from isolation:

  • Debugging workflows
  • Refactoring sequences
  • Research tasks

Example:

  • debug-step1: "when debugging, first check logs"
  • debug-step2: "when debugging, isolate the failing component"
  • debug-step3: "when debugging, create minimal reproduction"
  • debug-step4: "when debugging, verify fix with test"

Read the full file on GitHub · 177 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 177 lines · 15 tokens per session scan A 2299b18847ee

Subscribe to this mod's changes

evolve is a command published in the GitHub repository zhmxiaowo/opencode-simple (2 stars, last pushed 5mo ago), licensed MIT. It adds 15 tokens to every session and 1,051 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to evolve, differing in 4 lines, and is treated as a copy.