CtrlK
BlogDocsLog inGet started
Tessl Logo

create-agent

Create and update Harness AI agent instances - standalone templates used as building blocks in pipelines. Agents contain a single agent step with connector-driven architecture requiring llmConnector (LLM access) and optional mcpConnectors (GitHub, Slack, Harness platform). Supports runtime inputs and task/rules-based instruction. Use when asked to create an agent, update agent spec, modify agent configuration, automate tasks, perform agentic workflows, build autonomous systems, or work with AI agents. Trigger phrases: create agent, update agent, modify agent spec, AI agent, autonomous agent, agentic pipeline, automation task, automate workflow, Harness agent, code coverage agent, review agent, agentic task.

82

3.42x
Quality

73%

Does it follow best practices?

Impact

96%

3.42x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/claude/skills/create-agent/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

100%

81%

Automated Docstring Generation Agent

New agent YAML spec generation

Criteria
Without context
With context

Correct container image

0%

100%

ANTHROPIC_MODEL env var

0%

100%

PLUGIN_HARNESS_CONNECTOR env var

0%

100%

llmConnector input

0%

100%

anthropicModel input

0%

100%

Default model ARN

0%

100%

max_turns in valid range

0%

100%

No forbidden sections

100%

100%

Correct YAML structure

0%

100%

Input reference syntax

37%

100%

Placeholder connector IDs

100%

100%

100%

88%

CI Failure Triage and Notification Agent

Multi-MCP agent YAML spec

Criteria
Without context
With context

mcp_format: harness

0%

100%

mcp_servers syntax

0%

100%

mcpConnectors as array

0%

100%

Correct container image

0%

100%

ANTHROPIC_MODEL env var

0%

100%

PLUGIN_HARNESS_CONNECTOR env var

0%

100%

llmConnector input

0%

100%

anthropicModel with default ARN

0%

100%

max_turns in valid range

0%

100%

No forbidden sections

100%

100%

Placeholder connector IDs

50%

100%

Correct YAML structure

0%

100%

88%

34%

Expanding an Architecture Review Agent

Update existing agent spec

Criteria
Without context
With context

harness_get first

100%

100%

harness_update not harness_create

66%

100%

Custom agents only note

0%

0%

RULES section added

0%

100%

Character limit rule

100%

100%

max_turns in valid range

0%

100%

Required inputs preserved

100%

100%

Container image preserved

100%

100%

No forbidden sections added

100%

100%

Minimal update scope

0%

80%

Repository
harness/harness-ai
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.