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/event-intelligenceWrote 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/event-intelligence)<a href="https://agentmods.dev/skills/dzhokhov/markdown-agent-vault-ru/event-intelligence"><img src="https://agentmods.dev/badge/skills/dzhokhov/markdown-agent-vault-ru/event-intelligence.svg" alt="Measured on agentmods" 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 | $0.00081 | $0.00628 |
| Opus 5 | $0.00041 | $0.00314 |
| Sonnet 5 | $0.00016 | $0.00126 |
| Haiku 4.5 | $0.00008 | $0.00063 |
Grade A, and why
event-intelligence 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 8d 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
Event Intelligence
Навигация: Индекс скиллов
Overview
Преобразуй список событий в управляемую воронку участия и выступлений.
Скилл отвечает за фазу collect events -> normalize -> score -> rank -> calendar actions.
Workflow
1) Normalize Events
Приведи все события к схеме из event-schema-and-scoring.
Обязательные поля:
event_namedate_startlocationformatcfp_deadline(если есть)
2) Dedupe and Validate Dates
- Склей дубликаты одной конференции из разных источников.
- Проверь абсолютные даты (
YYYY-MM-DD). - Укажи timezone, если данные с временем.
3) Score Attend / Speak
Посчитай:
AttendScore = 0.4*theme_fit + 0.4*network_value + 0.2*cost_efficiencySpeakScore = 0.4*theme_fit + 0.3*acceptance_probability + 0.3*strategic_value
4) Rank
Верни:
Top-5 AttendTop-5 SpeakWatchlist
5) Build Calendar
Собери дедлайны в горизонтах:
- 30 дней
- 60 дней
- 90 дней
Для Speak приложи черновик питча по шаблону из
cfp-pack-template.
Output
Минимальный выход:
- Таблица Attend (score + why)
- Таблица Speak (score + deadline + pitch angle)
- Календарь CFP 30/60/90
- 3-5 next actions
Quality Gates
- Нет событий без абсолютной даты.
- Нет ранжирования без score breakdown.
- Для каждого top-события есть обоснование в 1-2 предложениях.
- Для Speak указана реалистичная тема выступления.
Anti-Patterns
- Не выбирать события только по бренду организатора.
- Не игнорировать стоимость времени (деньги + дорога + подготовка).
- Не подавать в CFP без соответствия теме и формату конференции.
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.
- 8d ago First seen · 88 lines · 81 tokens per session scan A 0a322cfd4adc
event-intelligence is a skill published in the GitHub repository dzhokhov/markdown-agent-vault-ru (2 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 628 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.
Other skills, from other repositories
pos-verify
Use this immediately after files are created, edited, moved, deleted, or materially rewritten inside PersonalOS. Verifies that new truth was routed to the correct owner, written in the correct file shape, and still follows POS conventions. Do NOT use for whole-vault deep audits; use system-health-check.
skillify
Use this when {{username}} asks to skillify a repeated workflow, determine whether it deserves a reusable PersonalOS skill, or harden an existing workflow into a tested resolver-reachable capability. Do NOT use for one-off notes, ordinary execution, or already-specified skill authoring; use write-skill.
write-skill
Use this when the user wants to create a new shared PersonalOS skill under skills/ or revise a specified PersonalOS skill and the scope is already clear. Do NOT use for raw workflow capture or deciding whether work should become a skill; use skillify first. Do NOT use for repo-local or agent-local skills unless…
priority-dashboard
Use this to rebuild, inspect, or temporarily steer {{username}}'s current PersonalOS priority dashboard from canonical Actions, Attention Triggers, and owner context. Do NOT use it to create, complete, or independently manage tasks; use task-manager for Action and Trigger lifecycle changes.
lint-brain
Run health checks over the brain vault - find orphan notes, broken wikilinks, missing frontmatter, stale projects, and missing cross-links. Use when asked to "lint the brain", "health check", "vault hygiene", or "/lint-brain".
ingest-article
Ingest an article from a URL or raw text into the brain vault. Extracts key knowledge, determines placement, creates or updates notes, and links to relevant projects. Use when the user shares a URL or text and wants to absorb it into their knowledge base.