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 cognitedata/builder-skills --skill create-agentgit clone --depth 1 https://github.com/cognitedata/builder-skillsWrote 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/cognitedata/builder-skills/create-agent)<a href="https://agentmods.dev/skills/cognitedata/builder-skills/create-agent"><img src="https://agentmods.dev/badge/skills/cognitedata/builder-skills/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/cognitedata/builder-skills/create-agent"><img src="https://agentmods.dev/badge/skills/cognitedata/builder-skills/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 | $0.00080 | $0.01216 |
| Opus 5.5 | $0.00032 | $0.00486 |
| Sonnet 5.5 | $0.00016 | $0.00243 |
| Haiku 4.5 | $0.00008 | $0.00122 |
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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Agent
Scaffold a new Atlas agent project named $ARGUMENTS using npx @cognite/cli@latest agents create.
What gets created
<agent-name>/
agent.yaml # Agent definition — externalId, model, instructions, tools
README.md # Quick-start docs and tool reference
eval/
cases.yaml # Starter eval cases (single-turn, multi-turn, correctness + faithfulness scorers)
Step 1 — Gather optional fields
The agent name is $ARGUMENTS. Ask the user for the following (skip any they already provided):
| Field | CLI flag | Default |
|---|---|---|
| Display name | --display-name |
same as agent name |
| Description | --description |
— |
| Model | --model |
azure/gpt-5.4-mini |
| Instructions (system prompt) | --instructions |
see default below |
| Tools | (edit after creation) | none |
Default instructions when the user doesn't specify:
Help users explore and understand the data in this project.
Use the available tools to retrieve data before answering.
When the data is insufficient, say so rather than guessing.
Step 2 — Run npx @cognite/cli@latest agents create
Run the command, including only flags where the user provided a value or a non-empty default applies:
npx @cognite/cli@latest agents create <agent-name> \
--display-name "<display-name>" \
--description "<description>" \
--model <model> \
--instructions "<instructions>" \
--no-prompt
- Omit
--display-nameif the user wants the default (same as agent name). - Omit
--descriptionif none was given. - Always pass
--instructions(use the default if the user didn't specify). - Always pass
--no-promptto skip the CLI's interactive prompts. - For multi-line instructions, pass them as-is in quotes; if the shell quoting is awkward, skip
--instructionsand editagent.yamlmanually after creation.
Step 3 — Add tools (if any)
If the user wants tools, edit <agent-name>/agent.yaml to add a tools array. Do NOT add tools: [] — omit the key entirely when there are no tools.
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.
- 2mo ago First seen · 129 lines · 80 tokens per session scan A 882a8b73aba4
create-agent is a skill published in the GitHub repository cognitedata/builder-skills (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 80 tokens to every session and 1,216 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.
create-agent compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| create-agentcognitedata/builder-skills | Skill | 6 | yesterday | Apache-2.0 | A | 80 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |