Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/dzhokhov/markdown-agent-vault-runpx agentmods add skills/dzhokhov/markdown-agent-vault-ru/translation-editorialWrote 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/dzhokhov/markdown-agent-vault-ru/translation-editorial)<a href="https://agentmods.dev/skills/dzhokhov/markdown-agent-vault-ru/translation-editorial"><img src="https://agentmods.dev/badge/skills/dzhokhov/markdown-agent-vault-ru/translation-editorial/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/dzhokhov/markdown-agent-vault-ru/translation-editorial"><img src="https://agentmods.dev/badge/skills/dzhokhov/markdown-agent-vault-ru/translation-editorial.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 | $0.00088 | $0.00603 |
| Opus 5 | $0.00044 | $0.00302 |
| Sonnet 5 | $0.00018 | $0.00121 |
| Haiku 4.5 | $0.00009 | $0.00060 |
Grade A, and why
translation-editorial 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 10d 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
Translation and Editorial
Навигация: Индекс скиллов
Overview
Преобразуй технические входные данные в понятный прикладной контент:
- без жаргона,
- с явным практическим эффектом,
- с действиями на 7 дней.
Скилл отвечает за фазу signal -> message map -> card/post -> editorial QA.
Workflow
1) Pick Audience
Назначь primary audience:
entrepreneuroperatorspecialist
Если аудитория смешанная — выбери одну primary и укажи secondary.
2) Build Message Map
Для каждого сигнала/кейса зафиксируй 5 опорных пунктов:
- Что произошло (факт)
- Что это меняет в работе (механика эффекта)
- Для кого это полезно/рискованно
- Что сделать за 7 дней
- Что НЕ делать
3) Produce Artifacts
Используй шаблоны из card-templates.
Минимум:
Short card(для дайджеста)Blog block(развёрнутый абзац)
4) Editorial QA
Прогони чеклист из editorial-checklist.
Если есть сложный термин — добавь короткое объяснение на уровне практики.
Output
Возвращай 2 блока:
Digest CardBlog Paragraph
Для каждого блока укажи:
- primary audience
- ключевой actionable
Quality Gates
- Главная мысль понятна из первых 2 предложений.
- Нет беспредметной оценки в стиле «революция/прорыв» без механики.
- Есть конкретный шаг на 7 дней.
- Есть блок «что не делать».
- Нет внутренних противоречий с исходным сигналом.
Anti-Patterns
- Не пересказывать changelog вместо прикладного смысла.
- Не писать "для всех".
- Не выпускать текст без конкретного next step.
- Не раздувать формат: одна карточка = одна центральная мысль.
References
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 88 lines · 88 tokens per session scan A f1e19e802bf1
translation-editorial is a skill published in the GitHub repository dzhokhov/markdown-agent-vault-ru (2 stars, last pushed 4d ago), licensed MIT. It adds 88 tokens to every session and 603 once invoked, about $0.0004 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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