create-task

A guided skill for creating Harbor tasks, which are benchmark problems used to evaluate AI agents.

In plain words
What is it for?
Scaffolding and designing single-step or multi-step evaluation tasks, writing instructions, setting up containers, and choosing or building tests.
Why use it?
It helps plan the task prompt, development environment, verifier, and optional reference solution instead of leaving those decisions unspecified.

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

Made for: Claude Code, Codex.

Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,305 The whole file, excluding the scripts and references it only reads on demand.
Security scan F 4 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 $0.00056 $0.04305
Opus 5 $0.00028 $0.02152
Sonnet 5 $0.00011 $0.00861
Haiku 4.5 $0.00006 $0.00430

Measured 2d ago against content hash 3619e134c568, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade F, and why

create-task scanned grade F with 4 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.

Reaches for credential fileshighPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

Generate an SSH key pair in the files `~/.ssh/id_rsa` and `~/.ssh/id_rsa.pub`.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

apt-get update && apt-get install -y curl curl -LsSf https://astral.sh/uv/0.9.7/install.sh | sh

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

RUN apt-get update && apt-get install -y openssh-client && rm -rf /var/lib/apt/lists/*

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

apt-get update && apt-get install -y curl
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/create-task/SKILL.md · 476 lines

How it starts

The opening of the file, as written. The whole thing — 476 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Guide the user through creating a new Harbor task end-to-end. Don't just dump commands — walk them through each decision, especially around the verifier (which is usually the hardest part).

Step 1: Scaffold the task

harbor task init "<org>/<task-name>"

Useful flags:

  • --description "..."
  • --author "Jane Doe <[email protected]>" (repeat for multiple authors)
  • --no-pytest — skip the pytest test template (use if planning Reward Kit or custom verifier)
  • --no-solution — skip solution/ directory
  • --metadata-template path.toml — pre-populate task.toml

Produces:

<task-name>/
├── instruction.md         # Task prompt for the agent
├── task.toml              # Config and metadata
├── environment/Dockerfile # Container definition
├── solution/solve.sh      # Reference solution (optional)
└── tests/test.sh          # Verifier script

If the user wants a multi-step task (ordered steps with per-step instructions, tests, and early stopping against a shared container), scaffold the single-step layout first, then convert to the steps/ layout described in the Multi-step tasks section below.

Step 2: Write instruction.md

This is the prompt the agent receives. Help the user write it clearly:

  • State the goal concretely — what file to create, what behavior to produce
  • Specify expected outputs — paths, formats, content
  • Include constraints — language, tools, approach
  • Don't leak the tests — describe what "done" looks like, not how you'll check it

Example (from the ssh-key-pair tutorial):

# SSH Key Pair Generation

Generate an SSH key pair in the files `~/.ssh/id_rsa` and `~/.ssh/id_rsa.pub`.

Don't make them password protected.

Step 3: Build the environment

Edit environment/Dockerfile to install dependencies the task needs. The agent works inside this container.

FROM ubuntu:24.04
WORKDIR /app

# Install what the task requires — NOT the solution
RUN apt-get update && apt-get install -y openssh-client && rm -rf /var/lib/apt/lists/*

Read the full file on GitHub · 476 lines

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 · 476 lines · 56 tokens per session scan F 3619e134c568

Subscribe to this mod's changes

create-task is a skill published in the GitHub repository harbor-framework/harbor (4,782 stars, last pushed 2d ago), licensed Apache-2.0. It adds 56 tokens to every session and 4,305 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it F with 4 findings (reaches for credential files, downloads and executes remote code, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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