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.
npx agentmods add skills/melandlabs/openloomi/create-tasknpx skills add melandlabs/openloomi --skill create-taskgit clone --depth 1 https://github.com/melandlabs/openloomiWrote 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.
[](https://agentmods.dev/skills/melandlabs/openloomi/create-task)<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>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.
| Model | Per session | Once 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 |
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.
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
iclandicl_notepadruns; 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.pyas Jinja templates rendered withStrictUndefined. - 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.mdis the durable design + results artifact. - The task
README.mdmust followreferences/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:
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.
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.
- 4d ago First seen · 482 lines · 71 tokens per session scan A 51868f1a8763
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.
Other skills, from other repositories
harness-creator
Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is…
algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright…
slack-gif-creator
Toolkit for creating animated GIFs optimized for Slack, with validators for size constraints and composable animation primitives. This skill applies when users request animated GIFs or emoji animations for Slack from descriptions like "make me a GIF for Slack of X doing Y".
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external agents through well-designed tools. Use when building MCP servers to integrate external APIs or agents, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
canvas-design
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
self-improvement
当任务中出现非预期失败、用户纠正、缺失能力请求,或发现值得复用的项目模式时使用。负责把高价值经验沉淀到 .learnings/,并决定是否提升为项目规则或独立 skill。.