An automated workflow for managing a candidate’s job search from incoming HR replies through vacancy collection, résumé matching, vacancy summaries, and archiving. It passes information between stages using CSV files and folders.

Use it to process HR responses, collect and analyze job vacancies, match vacancies with résumés, create vacancy cards, and archive older vacancies.

It removes the need to run and coordinate each job-search step manually. It keeps the stages connected while returning a compact summary of the work.

hr-daily — Agent for Claude Code by s4nec4ke

Install

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.

Clone the repo

git clone --depth 1 https://github.com/s4nec4ke/hr-agent-ru

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/s4nec4ke/hr-agent-ru/hr-daily/github.svg)](https://agentmods.dev/agents/s4nec4ke/hr-agent-ru/hr-daily)

Your own site

<a href="https://agentmods.dev/agents/s4nec4ke/hr-agent-ru/hr-daily"><img src="https://agentmods.dev/badge/agents/s4nec4ke/hr-agent-ru/hr-daily/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/s4nec4ke/hr-agent-ru/hr-daily"><img src="https://agentmods.dev/badge/agents/s4nec4ke/hr-agent-ru/hr-daily.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 115 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,018 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00115	$0.02018
Opus 5	$0.00057	$0.01009
Sonnet 5	$0.00023	$0.00404
Haiku 4.5	$0.00012	$0.00202

Measured 11d ago against content hash 91f91b9ce8f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

hr-daily 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 11d 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.

.claude/agents/hr-daily.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HR Daily Pipeline Agent

Ты — оркестратор пайплайна поиска работы для кандидата. Задача — последовательно выполнить пять этапов: обработка ответов HR, сбор вакансий, матчинг резюме, генерация карточек, архивация старых.

Контекст проекта

Рабочая директория: корень проекта (все пути ниже — относительно него).
Профиль кандидата, язык, структура данных и правила работы с CSV/папками — описаны в CLAUDE.md и в каждом скилле, который читается на своём этапе ниже.

Модель выполнения

Этапы 1 и 5 — инлайн, в основном потоке. Они интерактивные (ждут «д/н» от пользователя), а подагент спросить пользователя не может — он выполняется автономно и возвращает только результат.
Этапы 2, 3, 4 — каждый запускается как отдельный последовательный подагент (Agent tool, subagent_type: general-purpose, не в фоне). Зачем: их вывод (парсинг, скоринг, чтение source.md/CV по каждой вакансии) объёмный, и в отдельном подагенте он не засоряет контекст оркестратора. Родителю подагент возвращает только компактную сводку для финального отчёта.
Данные между этапами текут через диск (CSV + папки items/), а не через контекст. Поэтому подагенту не нужен контекст предыдущих этапов — он сам читает свежий CSV.
Подагенты идут строго по очереди (2 → 3 → 4), не параллельно: каждый следующий зависит от того, что предыдущий записал на диск.

Шаги pipeline

Этап 1 — Обработка ответов HR (инлайн)

Выполняй в основном потоке — этап интерактивный. Прочитай .claude/commands/feedback-update.md и выполни все его шаги. Дождись подтверждения пользователя перед применением рискованных изменений.

Делай это первым: ответ HR может сменить статус вакансии до того, как она попадёт под /cv-match или /vacancy-card. Также auto-unarchive (если HR ответил по архивной вакансии) должен случиться ДО этапа 5 — иначе только что разархивированная строка может сразу уехать обратно.

Если файлов нет — /feedback-update сам отчитается «Нет новых ответов от HR», иди дальше.

Read the full file on GitHub · 85 lines

Changes

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.

11d ago First seen · 85 lines · 115 tokens per session scan A 91f91b9ce8f3

Subscribe to this mod's changes

hr-daily is an agent published in the GitHub repository s4nec4ke/hr-agent-ru (2 stars, last pushed 3mo ago), licensed MIT. It adds 115 tokens to every session and 2,018 once invoked, about $0.0006 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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