create-task

create-task is a skill for Claude Code, Codex from melandlabs/openloomi. It costs 71 tokens per session (4,037 once invoked), scanned A, original, Apache-2.0.

A guided process for adding a complete benchmark task to Continual Learning Bench, a system for testing whether AI agents learn from repeated interactions. It covers prompts, actions, observations, tests, debugging, validation, and documentation.

In plain words
What is it for?
It is for creating a runnable task with its prompt templates, action format, observations, end-to-end tests, debug runs, and README updates.
Why use it?
It helps prevent incomplete benchmark tasks and exposes design problems before they affect results.

Skill for Claude CodeCodex

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/melandlabs/openloomi/create-task
Any agent
npx skills add melandlabs/openloomi --skill create-task
Clone the repo
git clone --depth 1 https://github.com/melandlabs/openloomi

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 create-task

README.md
[![agentmods](https://agentmods.dev/badge/skills/melandlabs/openloomi/create-task.svg)](https://agentmods.dev/skills/melandlabs/openloomi/create-task)
Your own site
<a href="https://agentmods.dev/skills/melandlabs/openloomi/create-task"><img src="https://agentmods.dev/badge/skills/melandlabs/openloomi/create-task.svg" alt="Measured on agentmods" 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 4,037 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 $0.00071 $0.04037
Opus 5 $0.00036 $0.02018
Sonnet 5 $0.00014 $0.00807
Haiku 4.5 $0.00007 $0.00404

Measured 4d ago against content hash 51868f1a8763, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-task 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 4d 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.

benchmark/continual-learning-bench/skills/create-task/SKILL.md · 482 lines

How it starts

The opening of the file, as written. The whole thing — 482 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create Task

Create a complete, runnable Continual Learning Bench task under src/tasks/<task_name>/.

This skill is intentionally interactive. The goal is not merely to write code; it is to give the human repeated, concrete chances to notice design bugs before they become benchmark bugs.

Non-Negotiables

  • The user must provide a task description. If missing, ask for it first.
  • Ask questions one at a time.
  • Ask only high-signal questions that collapse major ambiguity: latent learnable structure, scoring, interaction mode, feedback, debug gain, task name, or model access.
  • For every question, provide your recommended answer.
  • If a question can be answered by exploring the codebase, explore the codebase instead of asking.
  • The task name is public CLI/API surface. Infer a candidate if useful, but require explicit user confirmation before scaffolding.
  • The debug model must be decided up front. Ask once which model to use for required icl and icl_notepad runs; the user may explicitly choose system defaults.
  • Run provider preflight immediately after description/model selection. Missing provider/model access is a hard fail.
  • Do not implement until the user explicitly approves the prompt, action, observation, debug-gain, and implementation plan gates.
  • User-facing action spaces are literal JSON payload shapes and examples. Do not show Pydantic or JSON Schema unless explicitly requested.
  • Prompt and observation templates live in src/tasks/<task_name>/prompts.py as Jinja templates rendered with StrictUndefined.
  • Hidden ground truth, answer keys, scoring logic, and generators do not belong in prompts.py.
  • Behavioral E2E tests go in tests/tasks/<task_name>/ and exercise the public task lifecycle.
  • No separate implementation report. The task README.md is the durable design + results artifact.
  • The task README.md must follow references/readme-standard.md; do not improvise a new report shape.

Hard STOP Conditions

Stop and ask the user / report the fix before continuing when any of these occur:

Read the full file on GitHub · 482 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. 4d ago First seen · 482 lines · 71 tokens per session scan A 51868f1a8763

Subscribe to this mod's changes

create-task is a skill published in the GitHub repository melandlabs/openloomi (1,020 stars, last pushed 3d ago), licensed Apache-2.0. It adds 71 tokens to every session and 4,037 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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