ir:onboarding-factory/create-agent

ir:onboarding-factory/create-agent is a skill for Claude Code, Codex from ingo-eichhorst/Irrlicht. It costs 81 tokens per session (1,868 once invoked), scanned A, original, MIT.

A research and setup tool for adding a new coding-agent command-line tool to a comparison matrix. It registers the agent, creates its interactive test driver, and lists the driver actions its scenarios may require.

In plain words
What is it for?
Use it to onboard an agent CLI, document its identity and prerequisites, scaffold its driver, and identify the adapter work needed for the daemon to observe it.
Why use it?
It prepares the new agent for later assessment and recording while making missing integration work visible early.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/ingo-eichhorst/irrlicht/create-agent
Any agent
npx skills add ingo-eichhorst/Irrlicht --skill create-agent
Clone the repo
git clone --depth 1 https://github.com/ingo-eichhorst/Irrlicht

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ir:onboarding-factory/create-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/ingo-eichhorst/irrlicht/create-agent.svg)](https://agentmods.dev/skills/ingo-eichhorst/irrlicht/create-agent)
Your own site
<a href="https://agentmods.dev/skills/ingo-eichhorst/irrlicht/create-agent"><img src="https://agentmods.dev/badge/skills/ingo-eichhorst/irrlicht/create-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,868 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00081 $0.01868
Opus 5 $0.00041 $0.00934
Sonnet 5 $0.00016 $0.00374
Haiku 4.5 $0.00008 $0.00187

Measured 4d ago against content hash b133bfe3b51b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ir:onboarding-factory/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 4d 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.

.claude/skills/ir:onboarding-factory/create-agent/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

create-agent

You run as a focused subagent with no parent context. Do the research yourself (web + file access). This task runs NO recording and invokes NO agent CLI. When done, return only the "Return contract" block.

What this does

Adds a new agent COLUMN to the matrix — the counterpart to create-scenario's ROW. It does three things, all up front, before any cell is assessed or recorded:

  1. Register the column via of agent add — writes replaydata/agents/<slug>/metadata.json {id, name, provider, prerequisites[]} and registers the agent in the catalog meta.min_versions so of status and the viewer treat it as onboarded.
  2. Scaffold the interactive driver from the template so record has something to drive.
  3. Predict driver-needs — across the scenario catalog, name the step types the agent's recipes will need, so the driver gaps are known before the assess sweep instead of being rediscovered one record round-trip at a time.

Prerequisite: the Go adapter (maintainer / code task)

The daemon only observes an agent it has an adapter for. Wiring a new adapter is a Go change (a package under core/adapters/inbound/agents/<slug>/ exporting Agent(), plus one line in the All() slice in core/adapters/inbound/agents/all.go). That is out of scope for this skill. If no adapter exists yet, say so in notes: the column can be registered and the driver scaffolded, but recordings can't be observed until the adapter lands. Don't block — register what you can.

Steps

1. Research the agent

Use web search + fetch on the agent's official site, changelog, and source repo. Determine:

  • id — kebab slug (the column key, the replaydata/agents/<id>/ dir).
  • name — display name (e.g. "Claude Code").
  • provideranthropic / openai / google / … (the model vendor).
  • prerequisites — the human actions a recording needs that the subagent can't perform: auth mode (subscription vs API key), env vars, a local model server, a config file. These become --prereq strings and are surfaced by of record prereq-check before every recording. Be concrete — "switch the CLI from subscription auth to an API key (ANTHROPIC_API_KEY)" beats "set up auth".
  • transport shape — does it write an append-only transcript under $HOME (FilesUnderRoot), one transcript per cwd (FilesUnderCWD), or a structured store / SQLite (ProcessOwnedStore)? This determines what the daemon can see and feeds the driver scaffold + later assessments. Read sibling adapters under core/adapters/inbound/agents/ for the three variants.

Read the full file on GitHub · 166 lines

Changes

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.

  1. 4d ago First seen · 166 lines · 81 tokens per session scan A b133bfe3b51b

Subscribe to this mod's changes

ir:onboarding-factory/create-agent is a skill published in the GitHub repository ingo-eichhorst/Irrlicht (96 stars, last pushed today), licensed MIT. It adds 81 tokens to every session and 1,868 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens