agentclash-challenge-pack-yaml-author
Use when writing or editing AgentClash challenge pack YAML, including pack/version metadata, execution mode, challenges, cases, input sets, scoring blocks…
Skill by agentclash
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: writing
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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~/.claude/skills/agentclash-challenge-pack-yaml-author
What's inside
- Skill name
agentclash-challenge-pack-yaml-author- Description
- Use when writing or editing AgentClash challenge pack YAML, including pack/version metadata, execution mode, challenges, cases, input sets, scoring blocks, tools, sandbox settings, assets, and validation handoff.
- License
- MIT
- Metadata
- agentclash.role: challenge-pack-authoring · agentclash.version: 1 · agentclash.requires_cli: true
- Instructions
- 302 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# AgentClash Challenge Pack YAML Author
## Purpose
Write challenge-pack YAML that matches the current AgentClash parser and validators, without requiring access to the AgentClash source repo.
Use this skill after planning. The output should be a concrete YAML file plus the exact validation commands a coding agent should run before publish.
## Use When
- A challenge-pack plan needs to become valid YAML.
- An existing pack YAML needs source-compatible edits.
- A coding agent needs the exact YAML object shape for `pack`, `version`, `challenges`, `input_sets`, scoring, tools, sandbox, assets, cases, inputs, and expectations.
- The agent will later hand the file to `agentclash-challenge-pack-validation-publish`.
## Do Not Use When
- The user only has a vague eval idea; use `agentclash-challenge-pack-planner` first.
- The YAML is finished and only needs validation or publish; use `agentclash-challenge-pack-validation-publish`.
- The task is to start runs or choose deployments; use `agentclash-eval-runner` or deployment skills.
## Environment
Use hosted production unless the user intentionally points at another backend.
```bash
export AGENTCLASH_API_URL="https://api.agentclash.dev"
```
## CLI Commands
Start from the CLI template when possible, then edit the YAML.
```bash
agentclash challenge-pack init support-eval.yaml --template prompt_eval --name "Support Eval" --slug support-eval
agentclash challenge-pack init native-files.yaml --template native --name "Native Files" --slug native-files
agentclash challenge-pack validate support-eval.yaml
agentclash challenge-pack validate support-eval.yaml --json
```
Human validation output prints `Challenge pack is valid` or `Challenge pack has errors`. Use `--json` when a coding agent needs structured fields such as `valid` and `errors`.
## YAML Skeleton
These are the top-level fields accepted by the bundle parser:
```yaml
pack:
slug: support-eval
name: Support Eval
family: support
description: Evaluates concise customer support answers.
version:
number: 1
execution_mode: prompt_eval
evaluation_spec:
name: Support Eval Scoring
version_number: 1
judge_mode: deterministic
validators:
- key: mentions_refund_policy
type: contains
target: final_output
expected_from: literal:refund policy
scorecard:
strategy: weighted
dimensions:
- key: correctness
source: validators
weight: 1
challenges:
- key: refund-question
title: Refund Policy Question
category: support
difficulty: easy
instructions: Answer the customer in a concise, helpful tone.
input_sets:
- key: smoke
name: Smoke
description: Fast validation cases.
cases:
- challenge_key: refund-question
case_key: basic-refund
payload:
customer_message: Can I get a refund after 14 days?
inputs:
- key: prompt
kind: text
value: Can I get a refund after 14 days?
expectations:
- key: expected_policy
kind: text
source: input:prompt
```
## Required Fields
- `pack.slug`, `pack.name`, and `pack.family` are required.
- `version.number` must be greater than zero.
- `version.execution_mode` should be explicit: use `prompt_eval` or `native`.
- `version.evaluation_spec.validators` must contain at least one validator.
- Every challenge needs `key`, `title`, `category`, and `difficulty`.
- `difficulty` must be `easy`, `medium`, `hard`, or `expert`.
- Every input set needs `key`, `name`, and at least one `cases` entry.
- Every case needs `challenge_key` referencing a declared challenge and a stable `case_key`.
- Use `cases`, not legacy `items`, in new YAML.
## Execution Modes
Use `prompt_eval` for prompt-style tasks where the agent only needs the prompt and final output.
`prompt_eval` cannot use:
- top-level `tools`
- `version.tool_policy`
- `version.sandbox`
Use `native` when the challenge needs files, tools, network policy, package installation, file validators, directory checks, code execution, or sandbox behavior.
## Native Tools And Sandbox
Only include these blocks for `native` packs.
```yaml
tools:
custom:From agentclash/agentclash, MIT.
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Signals
- Stars
- 36
- Forks
- 3
- Open issues
- 61
- Last commit (this folder)
- Jun 24, 2026 (4 months ago)
- Last release
- Aug 15, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/agentclash/agentclash
- Website
- www.agentclash.dev
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
agentclash-challenge-pack-yaml-author skill. Agent Mart. https://agentmart.dev/skills/agentclash-agentclash-challenge-pack-yaml-author (last updated 2026-10-24)