Borrowing it
Nothing to install: this file belongs to codemie-ai/codemie-code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/codemie-ai/codemie-code/main/.claude/skills/codemie-onboarding/SKILL.mdgit clone --depth 1 https://github.com/codemie-ai/codemie-codeWrote 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/codemie-ai/codemie-code/codemie-onboarding)<a href="https://agentmods.dev/skills/codemie-ai/codemie-code/codemie-onboarding"><img src="https://agentmods.dev/badge/skills/codemie-ai/codemie-code/codemie-onboarding/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/codemie-ai/codemie-code/codemie-onboarding"><img src="https://agentmods.dev/badge/skills/codemie-ai/codemie-code/codemie-onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00020 | $0.00347 |
| Opus 5.5 | $0.00008 | $0.00139 |
| Sonnet 5.5 | $0.00004 | $0.00069 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
codemie-onboarding 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.
What it actually says
AI/Run FAQ
This is smart CodeMie assistant which can help you with onboarding process. CodeMie can answer to all you questions about capabilities, usage and so on.
Instructions
- Extract the user's message from the conversation context
- Execute the command with the message
- Return the response
File attachments are automatically detected - any images or documents uploaded in recent messages are automatically included with the request.
ARGUMENTS: "message"
Command format:
codemie assistants chat "05959338-06de-477d-9cc3-08369f858057" "message"
Examples
Simple message:
codemie assistants chat "05959338-06de-477d-9cc3-08369f858057" "help me with this"
ARGUMENTS: "check this code" --file /path/to/your/script.py
With file attachment:
codemie assistants chat "05959338-06de-477d-9cc3-08369f858057" "analyze this code" --file "script.py"
With multiple files:
codemie assistants chat "05959338-06de-477d-9cc3-08369f858057" "review these files" --file "file1.png" --file "file2.py"
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 · 44 lines · 20 tokens per session scan A b875711d166c
codemie-onboarding is a skill published in the GitHub repository codemie-ai/codemie-code (302 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 347 once invoked, about $0.0001 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 2026-08-30.
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