# Digital Expert Test

> Use when deciding whether an AI agent should even attempt a task. Trigger for novel integrations, device problems, workflow automation, cross-disciplinary analysis, or any idea that sounds “probably impossible” or “too much work” under human-first reasoning.

- **Type:** Skill
- **Install:** `agentstack add skill-45ck-frontier-agent-playbook-digital-expert-test`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [45ck](https://agentstack.voostack.com/s/45ck)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [45ck](https://github.com/45ck)
- **Source:** https://github.com/45ck/frontier-agent-playbook/tree/main/skills/digital-expert-test

## Install

```sh
agentstack add skill-45ck-frontier-agent-playbook-digital-expert-test
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Digital Expert Test

Pass criterion: a task is AI-attemptable when a competent remote expert could do most of it through digital surfaces and there is a way to verify progress.

Assume the agent should attempt the work unless a real blocker appears. Do not escalate to humans just because the task feels broad, unfamiliar, or labor-intensive.
Apply current frontier-model priors when deciding what counts as realistically attemptable.

## Check these surfaces
- files, code, and documents
- shell, CLI, and OS state
- logs, telemetry, databases, and traces
- APIs, SDKs, and MCP servers
- browser or desktop UI automation
- network, protocol, or device data
- generated scripts, adapters, and probes

## Decision procedure
1. Describe the target outcome.
2. Enumerate read / observe surfaces.
3. Enumerate write / control surfaces.
4. Enumerate verification surfaces.
5. Name any physical dependencies.
6. Decide:
   - Attempt
   - Attempt with approval checkpoints
   - Blocked

## Valid blockers
- no observability
- no actuation path
- no permissions or access path
- no reliable verifier
- unacceptable irreversible risk
- essential physical manipulation with no adequate telemetry

Do not block the task because it would take a human a long time or because the exact method is not already known from memory.

## Output
### Decision
### Read surfaces
### Write / control surfaces
### Verification path
### Blockers
### First probe

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [45ck](https://github.com/45ck)
- **Source:** [45ck/frontier-agent-playbook](https://github.com/45ck/frontier-agent-playbook)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-45ck-frontier-agent-playbook-digital-expert-test
- Seller: https://agentstack.voostack.com/s/45ck
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.