scienceworld-process-pauser

scienceworld-process-pauser is a skill for Claude Code, Codex from zjunlp/SkillNet. It costs 62 tokens per session (329 once invoked), scanned A, original, MIT.

A pause procedure that temporarily stops a task for reflection or for a simulated process to finish.

In plain words
What is it for?
Use it between experimental steps or while waiting for heating, reactions, or plant growth.
Why use it?
It gives the agent time to evaluate an intermediate result or wait for a change before continuing.

Skill for Claude CodeCodex

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

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 · 1,253 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.

agentmods
npx agentmods add skills/zjunlp/skillnet/scienceworld-process-pauser
Any agent
npx skills add zjunlp/SkillNet --skill scienceworld-process-pauser
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-process-pauser

README.md
[![agentmods](https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-process-pauser.svg)](https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-process-pauser)
Your own site
<a href="https://agentmods.dev/skills/zjunlp/skillnet/scienceworld-process-pauser"><img src="https://agentmods.dev/badge/skills/zjunlp/skillnet/scienceworld-process-pauser.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 329 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 $0.00062 $0.00329
Opus 5 $0.00031 $0.00164
Sonnet 5 $0.00012 $0.00066
Haiku 4.5 $0.00006 $0.00033

Measured 2d ago against content hash 240e2467d1f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

scienceworld-process-pauser 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 2d 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-process-pauser/SKILL.md · 27 lines

What it actually says

Skill: Process Pauser

When to Use

Activate this skill when you need to:

  • Consider next steps in a complex procedure.
  • Evaluate an intermediate result (e.g., a mixed chemical, a partial assembly).
  • Wait for a simulated process to complete.
  • Prevent rushed decisions that could lead to errors.

Core Actions

Use the following actions to implement a pause:

  • wait1: Pauses execution for a single simulation step. Use for brief reflection.
  • wait: Pauses execution for 10 simulation steps. Use for longer consideration or simulated waiting periods.

Implementation Logic

  1. Identify the Pause Trigger: Recognize a moment requiring deliberation (e.g., after creating an intermediate product, before adding a new component).
  2. Select Duration: Choose wait1 for quick checks or wait for extended evaluation.
  3. Execute Pause: Perform the selected wait action.
  4. Resume: Continue the task with the benefit of the reflective pause.

Example from Trajectory

In the paint-mixing task, the agent used wait1 after creating orange paint and before adding more red to make red-orange. This pause allowed for consideration of proportions and color adjustment.

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. 2d ago First seen · 27 lines · 62 tokens per session scan A 240e2467d1f6

Subscribe to this mod's changes

scienceworld-process-pauser is a skill published in the GitHub repository zjunlp/SkillNet (1,253 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 329 once invoked, about $0.0003 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 2026-09-03.

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