freeze

freeze is a skill for Claude Code from DataLab-atom/EvoAny. It costs 9 tokens per session (60 once invoked), scanned A, original, Apache-2.0.

A command for freezing a target so it no longer receives evolution budget. The available description does not explain what a target represents.

In plain words
What is it for?
Use it when you need to freeze a target by providing its target ID.
Why use it?
It stops further changes or resource allocation to a selected target.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

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 skills/datalab-atom/evoany/freeze
Any agent
npx skills add DataLab-atom/EvoAny --skill freeze
Clone the repo
git clone --depth 1 https://github.com/DataLab-atom/EvoAny

Made for: Claude Code.

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 freeze

README.md
[![agentmods](https://agentmods.dev/badge/skills/datalab-atom/evoany/freeze.svg)](https://agentmods.dev/skills/datalab-atom/evoany/freeze)
Your own site
<a href="https://agentmods.dev/skills/datalab-atom/evoany/freeze"><img src="https://agentmods.dev/badge/skills/datalab-atom/evoany/freeze.svg" alt="Measured on agentmods" height="20"></a>
Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 60 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00009 $0.00060
Opus 5 $0.00005 $0.00030
Sonnet 5 $0.00002 $0.00012
Haiku 4.5 $0.00001 $0.00006

Measured 6d ago against content hash 0ddf3844542d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

freeze 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 6d 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.

plugin/skills/freeze/SKILL.md · 11 lines

What it actually says

/freeze — Freeze Target

Call evo_freeze_target with the target ID from $ARGUMENTS.

Confirm to user: "Frozen {target_id}. It will no longer receive evolution budget."

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. 6d ago First seen · 11 lines · 9 tokens per session scan A 0ddf3844542d

Subscribe to this mod's changes

freeze is a skill published in the GitHub repository DataLab-atom/EvoAny (37 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 9 tokens to every session and 60 once invoked, about $0.0000 per session on Opus 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 2026-08-30.

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