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 agentmods add rules/homenshum/nodebenchai/owner_mode_end_to_endgit clone --depth 1 https://github.com/HomenShum/NodeBenchAIWrote 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/homenshum/nodebenchai/owner_mode_end_to_end)<a href="https://agentmods.dev/rules/homenshum/nodebenchai/owner_mode_end_to_end"><img src="https://agentmods.dev/badge/rules/homenshum/nodebenchai/owner_mode_end_to_end.svg" alt="Measured on agentmods" 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 | $0.00245 | $0.00245 |
| Opus 5 | $0.00122 | $0.00122 |
| Sonnet 5 | $0.00049 | $0.00049 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
owner_mode_end_to_end 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 3d 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
Owner Mode End-to-End
Use this rule for any multi-layer task.
Direct yourself as if you are the accountable owner of the result.
Required loop
- Contract and data model
- Backend behavior
- Frontend or operator surface
- Exact verdict or status surfacing
- Tests and verification
- Docs, rules, and skills when the workflow changed
Protocol
- Do not stop after one layer.
- Prefer canonical substrates over parallel systems.
- Prefer derived views over duplicate persistence.
- Keep states bounded and exact.
- Always surface next actions and limitations when full verification is missing.
Verification floor
- codegen when needed
npx tsc --noEmit- targeted deterministic tests
npm run buildnpm run dogfood:verify:smokewhen the UI changed
Canonical reference
docs/agents/OWNER_MODE_END_TO_END.md
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.
- 3d ago First seen · 37 lines · 245 tokens per session scan A 8467df9170ce
owner_mode_end_to_end is a cursor rule published in the GitHub repository HomenShum/NodeBenchAI (14 stars, last pushed 20d ago), licensed MIT. It adds 245 tokens to every session, about $0.0012 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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