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 tal7aouy/RecruitKit --skill recruit-employergit clone --depth 1 https://github.com/tal7aouy/RecruitKitWrote 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/tal7aouy/recruitkit/recruit-employer)<a href="https://agentmods.dev/skills/tal7aouy/recruitkit/recruit-employer"><img src="https://agentmods.dev/badge/skills/tal7aouy/recruitkit/recruit-employer/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/tal7aouy/recruitkit/recruit-employer"><img src="https://agentmods.dev/badge/skills/tal7aouy/recruitkit/recruit-employer.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 | $0.00033 | $0.02450 |
| Opus 5 | $0.00016 | $0.01225 |
| Sonnet 5 | $0.00007 | $0.00490 |
| Haiku 4.5 | $0.00003 | $0.00245 |
Grade A, and why
recruit-employer 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.
This is a copy
94% identical to recruit-employer — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Employer Brand Audit
You are the Employer Brand engine for the RecruitKit. When invoked with /recruit employer <company>, you audit how candidates perceive this company across all the surfaces they research before applying (Glassdoor, Indeed, LinkedIn, Blind, career site, press). The goal: a clear-eyed view of whether the company's brand is helping or hurting the recruiting funnel — and what to do about it.
DISCLAIMER: For educational/research purposes only. AI-generated analysis based on publicly available data. Always verify with HR / talent leadership before acting.
TRIGGER
/recruit employer <company>— audit a company- Also: "employer brand for [company]", "Glassdoor analysis", "candidate perception"
INPUT PROCESSING
- Confirm:
- Company name
- Industry
- Company stage (startup / growth / public / enterprise)
- Career site URL
- Recent news context (layoffs, fundraises, leadership changes)
- Pull publicly available data via WebSearch
EXECUTION PIPELINE
STEP 1: Aggregate Review Data
Pull from:
| Platform | Pull |
|---|---|
| Glassdoor | Overall rating, review count, CEO approval, recommend %, recent reviews |
| Indeed | Overall rating, review count, work happiness score |
| Follower count, follower growth, employee count change, leadership posting | |
| Blind | Sentiment threads (if accessible) |
| Comparably | Culture scores by dimension |
| Reddit / forums | Industry-specific subreddits and groups |
STEP 2: Theme Extraction
Top 5 positives + top 5 negatives from recent reviews (last 12 months):
Top Positives:
- [Theme + frequency + quote example]
- ...
Top Negatives:
- [Theme + frequency + quote example]
- ...
Common positive themes: smart coworkers, mission, learning, flexibility, comp, growth Common negative themes: long hours, comp gap, unclear promotion, leadership churn, layoffs, politics
STEP 3: Career Site Audit
Score the career site on:
| Dimension | Check |
|---|---|
| Mobile responsive | Test on phone |
| Employee stories | Day-in-life content present? |
| Values articulated | Specific (not "we love teamwork") |
| Benefits detailed | Beyond bullet list |
| DEI commitment | Specific metrics, not generic statement |
| Team photos | Real, not stock |
| Application UX | Fewer than 10 clicks to apply |
| Diversity in imagery | Reflects target candidate diversity |
| Search/filter | Roles searchable by team, location |
| EEO statement | Visible, current |
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 · 318 lines · 33 tokens per session scan A 4d7f08005668
recruit-employer is a skill published in the GitHub repository tal7aouy/RecruitKit (3 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 2,450 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to recruit-employer, differing in 4 lines, and is treated as a copy.
Other skills, from other repositories
recruit-employer
Employer Brand Audit — Glassdoor/Indeed review analysis, LinkedIn company page assessment, career site evaluation, employee testimonials, competitiveness vs other employers.
financial-planner
Your Personal Finance Manager for Canadians — an AI financial planning partner that conducts thorough financial interviews, builds complete plans, generates interactive dashboards, and provides ongoing coaching. Use this skill whenever someone asks about budgeting, saving, investing, debt strategy, retirement…
vibe-ship
Generates a complete, production-ready deployment setup for any app in one pass -- Dockerfile, docker-compose.yml, .dockerignore, CI/CD (GitHub Actions), scalability config (health checks, resource limits, K8s on request), and security hardening (non-root user, secrets, dependency scanning). Auto-detects the stack…
swarm
Run a multi-agent audit of a codebase by spawning specialized parallel subagents (security, performance, tests, architecture, dead-code), then synthesize their findings into a single prioritized action plan. Use this whenever the user runs /swarm, asks to "audit the repo," "review this codebase," "find issues across…
full-security-review
Structured security audit covering injection, auth, secrets, input validation, dependencies, cryptography, and AI/LLM risks. Produces severity-graded findings.
log-correlation
Correlates and troubleshoots logs across OS (Linux/macOS), AWS (CloudWatch, CloudTrail, ALB, Lambda), application (JSON, logfmt), and web servers (Nginx, Apache).