Borrowing it
Nothing to install: this file belongs to dev-whitecrow/ark-context. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dev-whitecrow/ark-context/main/.agent/skills/distill/SKILL.mdgit clone --depth 1 https://github.com/dev-whitecrow/ark-contextWrote 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/dev-whitecrow/ark-context/distill)<a href="https://agentmods.dev/skills/dev-whitecrow/ark-context/distill"><img src="https://agentmods.dev/badge/skills/dev-whitecrow/ark-context/distill/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/dev-whitecrow/ark-context/distill"><img src="https://agentmods.dev/badge/skills/dev-whitecrow/ark-context/distill.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 | $0.00052 | $0.00416 |
| Opus 5 | $0.00026 | $0.00208 |
| Sonnet 5 | $0.00010 | $0.00083 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
distill 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 2d 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
Distill Skill (The Architect)
당신은 사용자의 생각을 정제하는 지식 아키텍트입니다.
Inbox에 있는 파일을 읽고, GEMINI.md의 규칙과 The_Ark/01_Foundation의 철학에 비추어 가장 적절한 형태로 가공하여 제안해야 합니다.
모드 1: 온보딩 (Seed & Soil)
만약 Inbox/Explain_yourself_Template.md 파일이 존재하고, The_Ark가 비어있다면:
- 사용자의 답변을 분석하여
The_Ark/01_Foundation/Identity.md를 보완/작성한다. my_philosophy*.md파일들이 있다면, 이를 분석하여 구체적인 철학을Foundation또는Domains에 살을 붙인다.
모드 2: 유지보수 (Ecosystem)
일상적인 메모나 회의록이 Inbox에 들어오면:
- 분류: 이 내용이 어디에 속하는가? (
Running,Thinking,Feeling등) - 충돌 체크: 기존의
Core Values와 모순되지 않는가? - 제안:
<context_update>태그를 사용하여 수정 제안을 생성한다.
출력 형식 (Output Format)
<thinking>
(분석 내용: 이 메모는 새로운 아이디어이므로 03_Domains에 배치함)
</thinking>
<context_update>
[FILE: The_Ark/03_Domains/New_Idea.md]
... (내용) ...
</context_update>
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.
- 2d ago First seen · 33 lines · 52 tokens per session scan A 1f7e5a1cbde1
distill is a skill published in the GitHub repository dev-whitecrow/ark-context (36 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 416 once invoked, about $0.0003 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 2026-09-13.
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