create-new-agent

create-new-agent is a skill for Claude Code, Codex from XAIHT/Tlamatini. It costs 164 tokens per session (1,911 once invoked), scanned A, original, MIT.

A step-by-step guide for adding a new workflow agent to the Tlamatini application, including its backend, web interface, configuration, database entry, styling, and documentation.

In plain words
What is it for?
Use it when creating or renaming a Tlamatini workflow agent and checking that the implementation follows the project's required structure.
Why use it?
It provides one agreed checklist for the many files and registration points needed to add an agent correctly.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it when creating or renaming a Tlamatini workflow agent and checking that the implementation follows the project's required structure.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xaiht/tlamatini/create_new_agent
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.

Any agent
npx skills add XAIHT/Tlamatini --skill create_new_agent
Clone the repo
git clone --depth 1 https://github.com/XAIHT/Tlamatini

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 create-new-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/xaiht/tlamatini/create_new_agent.svg)](https://agentmods.dev/skills/xaiht/tlamatini/create_new_agent)
Your own site
<a href="https://agentmods.dev/skills/xaiht/tlamatini/create_new_agent"><img src="https://agentmods.dev/badge/skills/xaiht/tlamatini/create_new_agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 164 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,911 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00164 $0.01911
Opus 5 $0.00082 $0.00955
Sonnet 5 $0.00033 $0.00382
Haiku 4.5 $0.00016 $0.00191

Measured 7d ago against content hash a74334499133, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

create-new-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 7d 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.

Tlamatini/agent/skills_pkg/create_new_agent/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create New Agent — canonical reference

The full, ground-truth procedure for adding or renaming a Tlamatini workflow agent lives in a single file at the repo root:

Tlamatini/.agents/workflows/create_new_agent.md

That document is the single source of truth for the 8-step agent contract:

  1. Backend agent scriptagent/agents/<name>/<name>.py + config.yaml (copy shoter.py boilerplate; FOR_DISABLE_CONSOLE_CTRL_HANDLER=1 must be the first line; implement _IS_REANIMATED; if the agent feeds Parametrizer, emit INI_SECTION_<TYPE><<< blocks).
  2. Django view + URLupdate_<name>_connection_view in agent/views.py and the matching agent/urls.py route.
  3. Migrationagent/migrations/00NN_add_<name>.py seeds the Agent row whose agentDescription is the display name (the canvas renders it verbatim).
  4. CSS gradient — a 4-color .canvas-item.<css-class>-agent block in agentic_control_panel.css plus the hover variant. Sidebar styling inherits via applyAgentToolIconStyle().
  5. JavaScript — four files: acp-agent-connectors.js, acp-canvas-core.js (6 locations: classMap, AGENTS_NEVER_START_OTHERS, removeConnection, removeConnectionsFor, mouseup handler), acp-canvas-undo.js, acp-file-io.js.
  6. agentic_skill.md — append an entry so FlowCreator's AI flow-designer knows the new agent exists.
  7. README.md — agent count, structure listing, classification, workflow table, glossary, changelog, API table. Also update agents_descriptions.md (the page's agent_purpose_map source).
  8. Lintpython -m ruff check (zero errors) and npm run lint (fix errors only).

Read the full file on GitHub · 102 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. 7d ago First seen · 102 lines · 164 tokens per session scan A a74334499133

Subscribe to this mod's changes

create-new-agent is a skill published in the GitHub repository XAIHT/Tlamatini (16 stars, last pushed yesterday), licensed MIT. It adds 164 tokens to every session and 1,911 once invoked, about $0.0008 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.