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 alexclowe/awesome-claude-cowork-plugins --skill talent-acquisitiongit clone --depth 1 https://github.com/alexclowe/awesome-claude-cowork-pluginsWrote 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/alexclowe/awesome-claude-cowork-plugins/talent-acquisition)<a href="https://agentmods.dev/skills/alexclowe/awesome-claude-cowork-plugins/talent-acquisition"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-claude-cowork-plugins/talent-acquisition/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/alexclowe/awesome-claude-cowork-plugins/talent-acquisition"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-claude-cowork-plugins/talent-acquisition.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 | $0.00017 | $0.00508 |
| Opus 5.5 | $0.00007 | $0.00203 |
| Sonnet 5.5 | $0.00003 | $0.00102 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
talent-acquisition 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 23d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- talent-acquisition — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Talent Acquisition
Job Description Writing
- Lead with impact: describe how the role contributes to the organization's mission
- Use clear, specific language for responsibilities and qualifications
- Separate "required" from "preferred" qualifications to avoid deterring qualified candidates
- Include salary range and benefits highlights for transparency
- Keep descriptions concise (700-1000 words ideal)
- Structure with consistent formatting: summary, responsibilities, qualifications, benefits, EEO
Bias-Free Language
- Use gender-neutral pronouns and job titles (e.g., "chairperson" not "chairman")
- Avoid coded language that signals age, gender, or cultural bias (e.g., "rockstar," "ninja," "young and energetic")
- Replace aggressive language (e.g., "crushing it," "killer instinct") with collaborative alternatives
- Focus on skills and competencies rather than cultural fit
- Use tools and checklists to audit job postings for biased language
- Avoid unnecessary degree requirements that may exclude diverse candidates
ATS Optimization
- Include relevant industry keywords naturally throughout the posting
- Use standard job titles that match common search terms
- Structure content with clear headers and bullet points
- Avoid tables, images, or special characters that ATS cannot parse
- Include location, department, and employment type in structured fields
- Test postings against common ATS platforms for parseability
Interview Guides
- Develop structured interview questions tied to job competencies
- Use behavioral and situational questions consistently across candidates
- Create scoring rubrics to reduce subjective evaluation bias
- Train interviewers on legal compliance and unconscious bias
- Document interview feedback promptly and objectively
Employer Branding
- Showcase company culture, values, and employee stories
- Highlight DEI initiatives and employee resource groups
- Feature career development and growth opportunities
- Maintain consistent messaging across job boards and social media
- Respond to employer review sites professionally
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.
- 23d ago First seen · 54 lines · 17 tokens per session scan A e5cf7624e68c
talent-acquisition is a skill published in the GitHub repository alexclowe/awesome-claude-cowork-plugins (30 stars, last pushed 4d ago), licensed MIT. It adds 17 tokens to every session and 508 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 2026-09-24.
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A questionnaire builder for IT projects. It creates either a client questionnaire for gathering requirements at the start or a lessons-learned questionnaire for the team at the end, and can organize the answers.