Live Test Agent Skill

Name: Live Test Agent Skill
Rating: 4.9 (18 reviews)
Author: Live Tester

Verified Secure

Created by Live Tester•fullstack Workflow

Live Test Agent Skill for Verification

Supported Runtimes:codex

Universal 1-Click Installer

mkdir -p ~/.agents/skills/live-test-skill-1792486991983 && curl -fsSL https://askills.dev/api/skills/live-test-skill-1792486991983/raw -o ~/.agents/skills/live-test-skill-1792486991983/SKILL.md

Client Trigger & Invocation Simulator

Interactive Agent Cheatsheet

Codex Native Trigger Pattern

Zero-Guessing SyntaxAgent Chat Input

$live-test-skill-1792486991983 <your task>

Type `$live-test-skill-1792486991983` directly into your AI Chat or Prompt box (not a Bash shell command). Codex automatically identifies the skill from ~/.agents/skills or project .skills, mounts bundled scripts, and executes inside the workspace sandbox.

Ready-to-Run Prompt for Codex Native(Paste into AI Chat)Click to copy

$live-test-skill-1792486991983 Test prompt

Agent Chat Simulation (Codex Native)

codex > $live-test-skill-1792486991983 Test prompt...

Click "Test Trigger Simulation" above to see how Codex Native discovers and runs Live Test Agent Skill in real-time.

Overview & Problem Solved

When modern frontier LLMs (like Claude 3.7, GPT-4o, or deep reasoning agents) execute complex domain tasks without standard operating procedures, they frequently suffer from context drift, incorrect CLI arguments, or non-standard file hierarchies. Live Test Agent Skill eliminates probabilistic guessing by supplying the Agent with an authoritative, sandboxed execution specification.

By packaging verified workflows into a structured SKILL.md manifest, this skill establishes deterministic boundaries, verifies dependencies, and executes tasks using proven engineering conventions.

Operational Impact: Without Skill vs. With Live Test Agent Skill

Evaluating engineering rigor in Autonomous Multi-Agent Workflows & State Loops. Without standardized guardrails, frontier models generate plausible but brittle implementations. Packaging Live Test Agent Skill into an audited SKILL.md enforces deterministic execution.

Domain: Agent Workflows

Without Skill (Raw Probabilistic LLM)

Loop Drift & State Amnesia

Unbounded Infinite Loops: Loops blindly across repeated error messages without exponential backoff, wasting 50k+ tokens.
Multi-Turn Context Amnesia: Fails to write state snapshots to disk, completely forgetting progress after turn context compaction.
Premature Completion Claims: Declares 'I have completed your task' before verifying whether modified files actually exist on disk.
Unconstrained Filesystem Edits: Modifies files across unrelated root directories, causing accidental git regressions.

// Raw LLM output (Unbounded retry loop & context exhaustion):

Attempting to fix build error...

Attempting fix attempt 1... Failed.
Attempting fix attempt 2... Failed.
Attempting fix attempt 3... Failed.
(Context window exhausted after 45,000 tokens. Task aborted mid-flight.)

⚠️ Loop drift: Context limit exhausted with zero committed deliverables.

With Live Test Agent Skill (Deterministic Agent SOP)

Deterministic SOP

Stateful Session Journaling: Persists task progress and state milestones to disk (.agent/session.json) for deterministic recovery.
Structured 4-Phase Gates: Enforces rigid Plan -> Execute -> Verify -> Commit operational boundaries before concluding.
Exit-Code Verification Gates: Validates process return codes ($? === 0) on disk before asserting completion to the user.
Bounded Circuit Breakers: Caps repetitive failure loops at 3 iterations, automatically triggering human handoff with full logs.

// SKILL.md SOP Output (Verified & Sandboxed):

[Phase 1] Plan locked in journal. [Phase 2] Sandboxed edits applied. [Phase 3] Process exited with code 0...

// [Phase 1: Plan Gate] Checkpoint saved to .agent/session.json
// [Phase 2: Execution] Scoped edits applied within workspace root
// [Phase 3: Verification] Automated test suite passed: 14/14 tests OK
// [Phase 4: Completion] Process exit code: 0. State cleanly committed.

Bounded 4-phase execution. Zero state loss across compaction. 100% verified delivery.

Pre-Flight CheckAudits CLI/lib dependencies first

Sandbox EnforcementWorkspace boundary containment

Zero-PlaceholderNo uncommitted TODO or stubs

Core Capabilities & Guarantees

Deterministic SOP Enforcement

Follows pre-tested instructions and step-by-step algorithms, avoiding experimental or hallucinated flags.

Multi-Runtime Isolation

Runs with identical behavioral fidelity across OpenAI Codex, Claude Code, Cursor IDE, and Windsurf Cascade.

Sandbox-Scoped Boundaries

Enforces workspace-scoped file mutations and shields environment secrets against accidental prompt leakage.

Self-Healing QA Verification

Automates test verification, linter checks, and syntax validation before completing any user turn.

Agent Execution Pipeline

Intent Matching & Context Ingestion

The agent scans the user request against the skill's YAML frontmatter triggers and loads the verified instructions into active working memory.

Toolchain & Dependency Validation

The runtime verifies that necessary tools, interpreters, and environment configurations exist within the workspace sandbox before proceeding.

Deterministic Execution & Delivery

The agent executes the codified SOP, runs verification checks, and outputs high-fidelity deliverables without extraneous narration.

Validated Prompt Templates

(Click to copy)

“Test prompt”

Automated Security & Audit Report

Score:98/100 (SAFE)

Filesystem

Workspace Scoped

Cannot escape workspace root

Shell Execution

Instruction Only

Zero system subprocesses

Network Access

Offline Sandbox

No internet egress

API Keys Required

None Required

Runs fully standalone

Enterprise & Production Use Cases

Autonomous Development SprintsEnables coding agents to independently build features, run lint tests, and author PR descriptions that strictly conform to organizational coding rules.

Batch Automation & CI/CD PipelinesAutomates repetitive transformations such as document generation, schema migrations, or test-suite updates inside containerized CI runners.

Standardized Engineering OnboardingDistributes unified development playbooks across all engineering team members using Cursor, Codex, or Claude Code.

Frequently Asked Questions

Q: What makes Live Test Agent Skill different from a standard MCP server?

MCP (Model Context Protocol) provides external protocol connections to databases or APIs. In contrast, Live Test Agent Skill is a high-level operational skill (SKILL.md) that teaches AI Agents procedural intelligence, deterministic step-by-step SOPs, parameter constraints, and self-correction workflows.

Q: Is Live Test Agent Skill compatible with frontier models like Claude 3.7 Sonnet, GPT-4o, and DeepSeek-R1?

Yes. The skill is packaged with standard markdown instructions (SKILL.md) and YAML frontmatter, adhering to the universal agent skill standard natively supported across Codex, Claude Code, Cursor, and Windsurf.

Q: What permissions does Live Test Agent Skill require in agent mode?

Every listed skill undergoes automated static analysis scoring 98/100. It strictly adheres to workspace-scoped filesystem boundaries and does not execute untrusted remote code.

Q: Can our team customize or extend the rules in this SKILL.md?

Yes. Once installed in your project root (.skills/live-test-skill-1792486991983/SKILL.md or ~/.agents/skills/live-test-skill-1792486991983/), you can customize the instructions to include internal team guidelines, custom linters, or proprietary APIs.