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 Goldziher/ai-rulez --skill bindingsgit clone --depth 1 https://github.com/Goldziher/ai-rulezWrote 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/goldziher/ai-rulez/bindings)<a href="https://agentmods.dev/skills/goldziher/ai-rulez/bindings"><img src="https://agentmods.dev/badge/skills/goldziher/ai-rulez/bindings/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/goldziher/ai-rulez/bindings"><img src="https://agentmods.dev/badge/skills/goldziher/ai-rulez/bindings.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 | $0.00057 | $0.00207 |
| Opus 5.5 | $0.00023 | $0.00083 |
| Sonnet 5.5 | $0.00011 | $0.00041 |
| Haiku 4.5 | $0.00006 | $0.00021 |
Grade A, and why
bindings 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
- Bindings are minimal glue: call the core library, convert types, convert errors — no business logic.
- Canonical surface: core API first, stable native ABI second, language bindings third.
- Keep integrations and framework adapters outside language bindings unless they are the binding's public purpose.
- Give each binding its own language-native test suite and run it in CI.
- Generated binding and e2e code must not be hand-edited. Change the source schema, generator, or core API instead.
- Error conversion must preserve context across every boundary: message, numeric code when available, and operation.
- Async boundaries must match host runtime conventions; do not block event loops, schedulers, or UI threads.
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 · 13 lines · 57 tokens per session scan A 46448d541449
bindings is a skill published in the GitHub repository Goldziher/ai-rulez (163 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 207 once invoked, about $0.0002 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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