Borrowing it
Nothing to install: this file belongs to theYahia/superjob-mcp. 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/theYahia/superjob-mcp/main/.claude/skills/salary/SKILL.mdgit clone --depth 1 https://github.com/theYahia/superjob-mcpWrote 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/theyahia/superjob-mcp/salary)<a href="https://agentmods.dev/skills/theyahia/superjob-mcp/salary"><img src="https://agentmods.dev/badge/skills/theyahia/superjob-mcp/salary/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/theyahia/superjob-mcp/salary"><img src="https://agentmods.dev/badge/skills/theyahia/superjob-mcp/salary.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 | $0.00015 | $0.00163 |
| Opus 5.5 | $0.00006 | $0.00065 |
| Sonnet 5.5 | $0.00003 | $0.00033 |
| Haiku 4.5 | $0.00002 | $0.00016 |
Grade A, and why
salary 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 2mo 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
/salary — Зарплаты по специальности
Алгоритм
- Вызови
search_vacanciesс keyword=специальность, town (если указан), count=100 - Собери payment_from и payment_to из результатов
- Рассчитай: минимум, максимум, медиану, среднюю
- Покажи распределение и топ-5 вакансий по зарплате
Примеры
/salary Python Москва
/salary менеджер по продажам СПб
/salary DevOps
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.
- 2mo ago First seen · 26 lines · 15 tokens per session scan A 1805a9a75c49
salary is a skill published in the GitHub repository theYahia/superjob-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 163 once invoked, about $0.0001 per session on Opus 5.5. 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.
salary compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| salarytheYahia/superjob-mcp | Skill | 1 | 2mo ago | MIT | A | 15 | Claude Code |
| swagjmagar/swag-mcp | Skill | 7 | 4d ago | MIT | A | 118 | Claude Code |
| visit-binary-banyapdarche/model-wellness | Skill | 2 | 14d ago | MIT | A | 93 | Claude Code, Codex |
| umt-mcpMarkgatcha/universal-mcp-toolkit | Skill | 16 | 3d ago | MIT | B | 89 | Claude Code |
| cortex-snippetsdinglebear-ai/cortex | Skill | 4 | 3d ago | AGPL-3.0 | A | 51 | Claude Code, Codex |
| using-cortexdinglebear-ai/cortex | Skill | 4 | 3d ago | AGPL-3.0 | A | 58 | Claude Code, Codex |
| install-cortexdinglebear-ai/cortex | Skill | 4 | 3d ago | AGPL-3.0 | A | 51 | Claude Code, Codex |