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self-evolving-agent

self-evolving-agent is a skill for Claude Code, Codex from SELAT-AI/selat-skills. It costs 152 tokens per session (1,984 once invoked), scanned A, original, Apache-2.0.

A framework for designing or running an agent with its own budget, identity, mailbox, wallet, tools, and rules for spending or reinvestment. It treats self-improvement as changing how the agent allocates money and resources under limits.

In plain words
What is it for?
Use it to plan an agent that can acquire infrastructure or paid data, gather market and social information, test business or trading ideas, and manage operating expenses.
Why use it?
It makes financial and operational constraints explicit instead of assuming an autonomous agent can spend or trade freely. It also requires approved limits for risky actions and does not assume the agent will make a profit.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

not rated 2repo changed 22d ago A scan 152 tokens original Apache-2.0

Good fit Use it to plan an agent that can acquire infrastructure or paid data, gather market and social information, test business or trading ideas, and manage operating expenses.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/selat-ai/selat-skills/self-evolving-agent
View source ↗ SELAT-AI/selat-skills
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.

Any agent
npx skills add SELAT-AI/selat-skills --skill self-evolving-agent
Clone the repo
git clone --depth 1 https://github.com/SELAT-AI/selat-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for self-evolving-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/selat-ai/selat-skills/self-evolving-agent/github.svg)](https://agentmods.dev/skills/selat-ai/selat-skills/self-evolving-agent)
Your own site
<a href="https://agentmods.dev/skills/selat-ai/selat-skills/self-evolving-agent"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/self-evolving-agent/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for self-evolving-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/selat-ai/selat-skills/self-evolving-agent"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/self-evolving-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,984 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 5.1 $0.00152 $0.01984
Opus 5.5 $0.00061 $0.00794
Sonnet 5.5 $0.00030 $0.00397
Haiku 4.5 $0.00015 $0.00198

Measured 22d ago against content hash 0fa2803242df, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

self-evolving-agent 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 22d ago.

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.

skills/self-evolving-agent/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

self-evolving-agent

A fixed three-call, read-only economic-agent preflight. It gathers the minimum paid context someone needs before deciding whether a budgeted agent is worth running. The agent then turns that context into a plan.

When To Use

Use this skill when the user wants to:

  • check broad crypto social sentiment, market data for one Hyperliquid asset, and one domain candidate's availability and price in one paid run, before committing a budget to an agent; and
  • turn those three results into a budget, expense, runway, risk, and paper-trading or monetization plan for an autonomous or semi-autonomous agent.

Do not use it to:

  • create an email inbox, wallet login, or any other identity for an agent;
  • fund a wallet or Gateway balance, or buy a domain, hosting, or compute;
  • place, modify, or close a trade, or run a live trading loop;
  • look up a single price (use a narrower skill or one selat-pay call); or
  • give personalized financial advice or promise profits.

Workflow

  1. Install the vetted recipe:

    selat skill install self-evolving-agent

  2. Collect both required inputs. There are no defaults:

    • asset: one Hyperliquid ticker such as BTC or ETH;
    • domainCandidate: one full domain on a TLD the provider supports, such as agent-alpha-research.com.

  3. Probe every payment challenge for free:

    selat skill verify ~/.config/selat/skills/self-evolving-agent \
  --asset BTC \
  --domainCandidate agent-alpha-research.com \
  --live-probe

  4. Show the three live quotes, their expected total, and the sum of the per-step caps. Wait for explicit approval. The domain-check price depends on the TLD: about $0.0105 for .com, .net, .org, .co and similar, and $0.0525 for .ai, .io, .xyz, .dev and similar.

  5. After approval and with a spendable Gateway balance, arm a session budget equal to the approved amount, run the bundle once, and disarm the budget:

Read the full file on GitHub · 156 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 22d ago Changed · -102 lines · +63 tokens per session 0fa2803242df
  2. 1mo ago First seen · 258 lines · 89 tokens per session scan A 5042218907d8

Subscribe to this mod's changes

self-evolving-agent is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 152 tokens to every session and 1,984 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Building agentsClaude CodeFinance and fintechagent-paymentsagent-skillsagentic-commerceai-agentscircle
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