scienceworld-growth-focuser

scienceworld-growth-focuser is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 71 tokens per session (768 once invoked), scanned A, original, MIT.

A biological growth-monitoring instruction for a simulated environment. It tells the agent to focus on a planted seed or plant so its life-cycle stage can progress or be observed.

In plain words
What is it for?
Use it after planting a seed or seedling, or when monitoring stages such as sprouting, flowering, or reproduction.
Why use it?
It provides the required intent signal after planting or when checking whether a biological entity is ready to grow.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it after planting a seed or seedling, or when monitoring stages such as sprouting, flowering, or reproduction.

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Install with agentmods
npx agentmods add skills/zjunlp/skillnet/scienceworld-growth-focuser
About the project

SkillNet is infrastructure for finding, creating, evaluating, combining, and coordinating reusable capabilities for AI agents. Agent developers use it as a searchable and installable library of skills and as a system for selecting skills for particular tasks. The catalogue contains skills that can be discovered, installed, or used with SkillNet.

zjunlp/SkillNet · 1,256 stars · on GitHub · skillnet.openkg.cn

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 zjunlp/SkillNet --skill scienceworld-growth-focuser
Clone the repo
git clone --depth 1 https://github.com/zjunlp/SkillNet

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 scienceworld-growth-focuser

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-growth-focuser/github.svg)](https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-growth-focuser)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-growth-focuser"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-growth-focuser/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 scienceworld-growth-focuser

Your own site · 80×15
<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-growth-focuser"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-growth-focuser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 768 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00071 $0.00768
Opus 5 $0.00036 $0.00384
Sonnet 5 $0.00014 $0.00154
Haiku 4.5 $0.00007 $0.00077

Measured 11d ago against content hash 0601035d6fd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

scienceworld-growth-focuser 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 11d 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.

experiments/src/skills/scienceworld/scienceworld-growth-focuser/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Growth Focuser

Purpose

Apply the focus on action to a specific biological entity (e.g., a planted seed or growing plant) to signal your intent to monitor its development. This action is often a prerequisite for the environment to process growth stages or trigger life cycle progression events.

When to Use

Use this skill when:

  1. After Planting: You have just placed a seed or seedling into a suitable growth medium (e.g., soil with water).
  2. Stage Monitoring: You need to check or trigger a progression in the plant's life cycle (e.g., from seed to sprout, sprout to mature plant, flowering, or reproduction).
  3. Intent Signaling: The task requires you to explicitly indicate which entity you are observing or nurturing.

Core Instruction

  1. Identify the Target: Locate the specific plant or seed you intend to focus on. Ensure it is in a valid state for growth (e.g., planted in soil with water).
  2. Execute Focus: Use the action: focus on <PLANT_OBJECT> [in <CONTAINER>].
    • Replace <PLANT_OBJECT> with the exact name of the biological entity (e.g., avocado seed).
    • Use the optional [in <CONTAINER>] clause if the object is inside another object (e.g., avocado seed in flower pot 1). This is crucial for disambiguation.
  3. Confirm & Wait: Upon successful focus, you will receive a confirmation. Biological growth requires time. Use wait actions strategically after focusing to allow the simulated environment to process development stages.

Key Considerations

  • Disambiguation: If multiple identical objects exist, the environment may prompt you to choose. Always specify the container (e.g., in flower pot 1) to avoid this.
  • Prerequisites: The focus on action typically follows preparatory steps like teleport to <location>, pick up <item>, and move <seed> to <pot>.
  • Patience is Required: Growth is not instantaneous. The focus on action signals intent, but you must follow it with wait actions to observe results.

Read the full file on GitHub · 44 lines

Files

What ships with it

1 file 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. 11d ago First seen · 44 lines · 71 tokens per session scan A 0601035d6fd6

Subscribe to this mod's changes

scienceworld-growth-focuser is a skill published in the GitHub repository zjunlp/SkillNet (1,256 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 768 once invoked, about $0.0004 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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