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 skills add KirKruglov/claude-skills-kit --skill one-to-one-prepgit clone --depth 1 https://github.com/KirKruglov/claude-skills-kitWrote 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/kirkruglov/claude-skills-kit/one-to-one-prep)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/one-to-one-prep"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/one-to-one-prep/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/kirkruglov/claude-skills-kit/one-to-one-prep"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/one-to-one-prep.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 | $0.00151 | $0.01481 |
| Opus 5 | $0.00076 | $0.00740 |
| Sonnet 5 | $0.00030 | $0.00296 |
| Haiku 4.5 | $0.00015 | $0.00148 |
Grade A, and why
one-to-one-prep 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: one-to-one-prep
A skill for team leads, engineering managers, and department heads. Generates a structured prep document for monthly 1-on-1 meetings with direct reports, based on previous meeting notes and task tracker data.
Triggers
Russian: «подготовь 1-on-1», «prep для ван-он-вана», «готовлюсь к 1:1», «подготовка к встрече с сотрудником», «сгенерируй агенду для 1-on-1», «one-to-one prep», «подготовь встречу один на один» English: "prep for 1-on-1", "one-to-one prep", "prepare for 1:1", "1-on-1 agenda", "prepare for my one-on-one", "generate 1:1 prep", "one on one meeting prep"
Language Detection
- Detect the language of the user's first message.
- If the message is in Russian — use Russian throughout the conversation and in the prep document.
- If the message is in English — use English throughout the conversation and in the prep document.
- If the language is ambiguous (mixed text, transliteration) — default to Russian.
- Language is fixed at the start of the session and does not change until generation is complete.
Input
Required:
- Notes from the previous 1-on-1 (free-form text). If absent — activate first-meeting mode.
- Employee task list / activity log for the period since the last meeting (paste from any tracker: Jira, Linear, Asana, ClickUp, Notion, or plain text).
Optional:
- Employee career goals
- Individual Development Plan (IDP)
- Current OKRs
If required data is missing — request it before generating.
Output
Markdown prep document with the following sections:
- Action item status from the previous 1-on-1
- Key events of the period
- Prioritized discussion topics
- Motivation and wellbeing questions
- New action items template
Instructions
Step 1 — Check for Required Data
Verify that the user has provided both required parameters: previous 1-on-1 notes and the task list.
If notes are absent — activate first-meeting mode: skip action item tracking and instead generate onboarding questions (expectations from meetings, current priorities, working style).
What ships with it
4 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.
- 9d ago First seen · 159 lines · 151 tokens per session scan A 30e1d70b62a3
one-to-one-prep is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 151 tokens to every session and 1,481 once invoked, about $0.0008 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 2026-09-03.
Other skills, from other repositories
tailored-resume-generator
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances.
meeting-insights-analyzer
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership…
dx-optimizer
Developer Experience specialist. Improves tooling, setup, and workflows. Use PROACTIVELY when setting up new projects, after team feedback, or when development friction is noticed.
file-organizer
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
sequence-load
Find leads matching criteria and bulk-add them to an Apollo outreach sequence. Handles enrichment, contact creation, deduplication, and enrollment in one flow.
agent-self-scheduling
Schedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers.