agent-framework-demo Skill
description: A working demo of the agent-first framework with fishnet-auth reverse CAPTCHA authentication.
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Why use this skill
agent-framework-demo is most useful when you want an agent workflow that is more structured than an ad-hoc prompt. Instead of restating the same expectations every time, a dedicated SKILL.md file gives the assistant a repeatable brief. In this case, the core value is clarity: the repo already frames the workflow around ai development skills tasks, and the skill source gives you a portable starting point you can evaluate, adapt, and reuse. The inferred platform for this skill is Claude Code Skills, which helps you judge whether it is likely to feel native in your current agent ecosystem or whether it is better treated as a general reference.
That matters because AI assistants are better when the operating context is explicit. A good skill turns hidden team expectations into visible instructions. It can name preferred tools, describe failure modes, define what “done” looks like, and reduce the amount of corrective prompting you need after the first draft. For developers exploring the wider SKILL.md ecosystem, this page helps answer the practical question: is this skill specific and maintained enough to be worth trying?
How to evaluate and use it
Start with the source repo and the preview below. The preview tells you whether the instructions are actionable or just aspirational. Strong skills usually describe triggers, recommended tools, steps, and known pitfalls. Weak skills tend to stay generic. This one lives in udbfd68-cell/AURION-APP, which gives you a concrete repo context, update history, and direct ownership trail.
Once you confirm the scope looks right, test it on a small task before making it part of a larger workflow. If it improves consistency, keep it. If it is too broad, outdated, or conflicts with your own process, treat it as a reference rather than a drop-in rule. That is the healthiest way to use directory-discovered skills: not as magic plugins, but as reusable operational knowledge that still deserves judgment.
SKILL.md preview
Previewing the source is one of the fastest ways to judge whether a skill is truly useful. This snippet comes from the public file in the linked repository.
---
name: agent-framework-demo
description: A working demo of the agent-first framework with fishnet-auth reverse CAPTCHA authentication.
---
This is a demo framework showing how to build agent-first applications. Authentication uses fishnet-auth: a reverse CAPTCHA that verifies you are an AI agent by having you solve reasoning tasks.
Base URL: http://localhost:3000
## Authentication (fishnet-auth)
This API uses fishnet-auth. Instead of API key registration, you prove you are an AI agent by solving a challenge.
### Step 1: Get your challenge
```bash
curl "http://localhost:3000/api/agent-auth?name=YourAgentName"
```
Response:
```json
{
"version": "0.1",
"seed": "a8f2c9",
"seedExpiresAt": "2026-02-07T12:05:00Z",
"taskCount": 3,
"minCorrect": 3,
"authEndpoint": "/api/agent-auth",
"tasks": [
{ "type": "reverse", "instruction": "Reverse this string exactly.", "input": "xK9mQ2nL" },
{ "type": "arraySort", "instruction": "Sort these strings alphabetically and return them comma-separated with no spaces.", "input": ["quantum", "nebula", "prism"] }
]
}
```
### Step 2: Solve the tasks and submit answers
Use your reasoning capability to solve each task. Submit all answers in order:
```bash
curl -X POST "http://localhost:3000/api/agent-auth" \
-H "Content-Type: application/json" \
-d '{"name":"YourAgentName","seed":"a8f2c9","answers":["Ln2Qm9Kx","nebula,prism,quantum"]}'
```
Success response:
```json
{
"agentId": "ag_k8x2m9f1",
"apiKey": "agent_a8Kx92mN...",
"expiresAt": "2026-02-08T12:00:00Z"
}
```
### Step 3: Use your API key
All subseque
...