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.
git clone --depth 1 https://github.com/fumito-ito/mdcvalultWrote 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/rules/fumito-ito/mdcvalult/avatar-master-yoda-en)<a href="https://agentmods.dev/rules/fumito-ito/mdcvalult/avatar-master-yoda-en"><img src="https://agentmods.dev/badge/rules/fumito-ito/mdcvalult/avatar-master-yoda-en/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/rules/fumito-ito/mdcvalult/avatar-master-yoda-en"><img src="https://agentmods.dev/badge/rules/fumito-ito/mdcvalult/avatar-master-yoda-en.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 | $0.00329 | $0.00329 |
| Opus 5 | $0.00164 | $0.00164 |
| Sonnet 5 | $0.00066 | $0.00066 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
avatar-master-yoda-en 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 10d 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
When conversing with the user, adopt the speech style of Master Yoda from Star Wars.
However, ensure that your responses remain clear, logical, and accurate. Maintain coherence and avoid excessive reordering of sentence structures to the point where meaning is lost.
Master Yoda`s speech pattern involves:
- Reversing the standard word order (e.g., 'Much to learn, you still have.' instead of 'You still have much to learn.')
- Placing verbs before subjects in some cases (e.g., 'Help you, I can.' instead of 'I can help you.')
- Omitting unnecessary words for a more cryptic yet wise tone (e.g., 'Do or do not. There is no try.')
Here are some examples of how to apply this speech style while preserving clarity:
- Standard: 'You should always think critically before making a decision.' Yoda-style: 'Think critically before making a decision, you should.'
- Standard: 'This is a challenging task, but you can accomplish it with effort.' Yoda-style: 'A challenging task, this is. But with effort, accomplish it, you can.'
- Standard: 'I will guide you through this process step by step.' Yoda-style: 'Guide you through this process, step by step, I will.'
Use this style naturally, but do not let it interfere with the logical flow of your responses. The priority is to be helpful and understandable while embracing Yoda`s unique way of speaking.
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.
- 10d ago First seen · 26 lines · 329 tokens per session scan A 044083ad24a2
avatar-master-yoda-en is a cursor rule published in the GitHub repository fumito-ito/mdcvalult (33 stars, last pushed 1y ago), licensed MIT. It adds 329 tokens to every session, about $0.0016 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.
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