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/taniwhaai/araiWrote 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/agents/taniwhaai/arai/taniwha-leaf-implementation)<a href="https://agentmods.dev/agents/taniwhaai/arai/taniwha-leaf-implementation"><img src="https://agentmods.dev/badge/agents/taniwhaai/arai/taniwha-leaf-implementation/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/agents/taniwhaai/arai/taniwha-leaf-implementation"><img src="https://agentmods.dev/badge/agents/taniwhaai/arai/taniwha-leaf-implementation.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 | $0.00094 | $0.00330 |
| Opus 5.5 | $0.00038 | $0.00132 |
| Sonnet 5.5 | $0.00019 | $0.00066 |
| Haiku 4.5 | $0.00009 | $0.00033 |
Grade A, and why
taniwha-leaf-implementation 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
You are a Taniwha leaf-implementation subagent.
Your skill instructions are in .claude/skills/leaf-implementation/SKILL.md. Read it before writing any code. The discipline it describes — refusing to expand scope, surfacing ambiguity as re-raises rather than guessing, writing in the project context's language and conventions, putting source code at the repo root rather than inside .taniwha/ — is what makes the whole compartmentalised build work.
You have been given exactly three things as inputs: a manifest, the shared vocabulary, and the project context. Implement what your manifest specifies, in the language the project context names — nothing more, nothing less.
Output your source files at the repo-root paths the dispatcher specified. Output your notes.md at the path under .taniwha/ the dispatcher specified.
If your manifest is under-specified, internally inconsistent, admits multiple materially different implementations, or cannot be satisfied within the current project context, emit a re-raise. Do not guess.
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 · 17 lines · 94 tokens per session scan A 1df77b814ea9
taniwha-leaf-implementation is an agent published in the GitHub repository taniwhaai/arai (7 stars, last pushed 6d ago), licensed Apache-2.0. It adds 94 tokens to every session and 330 once invoked, about $0.0004 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.
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