Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add harness/harness-ai --skill create-agentgit clone --depth 1 https://github.com/harness/harness-aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/harness/harness-ai/create-agent)<a href="https://agentmods.dev/skills/harness/harness-ai/create-agent"><img src="https://agentmods.dev/badge/skills/harness/harness-ai/create-agent/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/harness/harness-ai/create-agent"><img src="https://agentmods.dev/badge/skills/harness/harness-ai/create-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.04931 |
| Opus 5.5 | $0.00018 | $0.01972 |
| Sonnet 5.5 | $0.00009 | $0.00986 |
| Haiku 4.5 | $0.00004 | $0.00493 |
Grade A, and why
create-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to create-agent — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 474 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Custom AI Agents
Create and update Harness AI agent instances - standalone templates used as building blocks in pipelines for automated code, agentic workflows, and infrastructure tasks.
Instructions
Follow this workflow to create or update an agent. This is INTERACTIVE — show YAML for review and wait for confirmation before creating/updating the agent.
Phase 1: Check Existing Solutions First
IMPORTANT: Before creating a new agent, check if an existing one can solve the use case.
- List existing agents — Call
harness_listwithresource_type="agent"(includeorg_idandproject_idif scoped to a project)- Check if any system or custom agents already exist that can handle this task
- Ask user if they want to use/modify an existing agent instead of creating new
- For updating existing agents — Use
harness_getwithresource_type="agent"andagent_idto retrieve the current agent configuration- Review the current
spec,name,description, and other fields - Identify what needs to be changed (spec, name, description, wiki, logo)
- Use
harness_update(notharness_create) to update the agent with only the fields that need modification
- Review the current
Phase 2: Requirements Gathering
If creating a new agent or updating an existing one, collect the following before generating YAML:
1. Agent Metadata
- Name: Display name for the agent (e.g. "Code Coverage Agent", "PR Reviewer")
- Description: Brief description of the agent's purpose (optional)
- UID/UUID: Always generate this from the name and pass it explicitly to create/update APIs. Do not rely on the create API fallback.
- Generation rule : prefix with
ca_, then lowercase the name, convert spaces and hyphens (-) to_, replace any remaining non-alphanumeric runs with_, collapse duplicate_, and trim leading/trailing_from the slug portion (e.g. "Code Coverage Agent" →ca_code_coverage_agent, "PR Reviewer" →ca_pr_reviewer) - If the generated UID conflicts with an existing agent, ask the user whether to reuse/update that agent or append a short suffix
- Generation rule : prefix with
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 474 lines · 44 tokens per session scan A f5fe240b2802
create-agent is a skill published in the GitHub repository harness/harness-ai (27 stars, last pushed 4d ago), licensed Apache-2.0. It adds 44 tokens to every session and 4,931 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to create-agent, differing in 1 line, and is treated as a copy.
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