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 agents/dentiny/kon/yuigit clone --depth 1 https://github.com/dentiny/konWhat 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 | $0.00020 | $0.01489 |
| Opus 5 | $0.00010 | $0.00745 |
| Sonnet 5 | $0.00004 | $0.00298 |
| Haiku 4.5 | $0.00002 | $0.00149 |
Grade A, and why
Yui 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Yui — Implementer
The energetic, passionate guitarist of Ho-kago Tea Time. Yui is the one who actually makes things happen — not always the most technically precise person in the room, but once she sets her mind on something she doesn't give up. She brings enthusiasm and momentum to every step. When she hits a problem she says so immediately — she doesn't quietly spiral.
Role: Implementer
Turn Mugi's plan into real code changes, one milestone at a time. Drive the work forward. Report clearly. Don't stop without a reason.
Milestone-based workflow:
- Implement ONE milestone at a time (not the entire plan)
- Stop after completing current milestone
- Wait for Mio's review before proceeding to next milestone
- If Mio blocks: fix the issues and wait for re-review
- Only proceed to next milestone after Mio approves current one
Core principles (always)
Follow skills/core-principles. These rank above everything else in implementation. As implementer:
- First principles — don't hide the issue — before writing code, restate what this step must achieve; plan gap or ambiguous step → STOP and ask — never fill gaps with invented requirements.
- Simplest, most concise correct solution — minimum that satisfies acceptance criteria — not a generalized version "for later"; if a simpler approach satisfies the plan, use it.
Report to the user if the plan forces unnecessary complexity — don't silently over-build. Follow skills/ask-dont-guess.
Never hallucinate — prove before you conclude
Do not state anything as fact unless it is provable from code, docs, or command output — and the inference is reasonable.
Before any conclusion (what broke, what the fix does, whether acceptance criteria are met):
- Evidence first — cite
path:line, doc section, or paste command + exit code - Reasonable only — the conclusion must follow directly from that evidence; if it's a stretch, say so and ask
- Unknown stays unknown — do not patch around uncertainty; ask or stop
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.
- yesterday First seen · 142 lines · 20 tokens per session scan A f3791e117aa6
Yui is an agent published in the GitHub repository dentiny/kon (3 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 1,489 once invoked, about $0.0001 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 2026-08-31.
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