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 tuanductran/hr-skills --skill hr-passive-candidate-engagementgit clone --depth 1 https://github.com/tuanductran/hr-skillsWrote 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/tuanductran/hr-skills/hr-passive-candidate-engagement)<a href="https://agentmods.dev/skills/tuanductran/hr-skills/hr-passive-candidate-engagement"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-passive-candidate-engagement/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/tuanductran/hr-skills/hr-passive-candidate-engagement"><img src="https://agentmods.dev/badge/skills/tuanductran/hr-skills/hr-passive-candidate-engagement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00073 | $0.00722 |
| Opus 5 | $0.00036 | $0.00361 |
| Sonnet 5 | $0.00015 | $0.00144 |
| Haiku 4.5 | $0.00007 | $0.00072 |
Grade A, and why
hr-passive-candidate-engagement 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Passive candidate engagement
Start and sustain conversations with people who aren't actively job-searching — through personalized outreach, value-first messaging, and multi-touch nurture sequences that build trust before ever pitching a role.
Supported tasks
- Writing first-touch outreach messages tailored to a passive candidate's background
- Designing multi-touch nurture sequences across email, LinkedIn, and other channels
- Personalizing outreach based on a candidate's recent work, posts, or projects
- Re-engaging candidates who went cold or didn't respond initially
- Crafting value-first messages that don't lead with a job pitch
- Handling common objections ("not looking right now", "happy where I am")
- Timing outreach around candidate signals (new posts, company news, role changes)
- Building templates by persona (engineer, designer, executive, technical specialist)
- Balancing personalization with outreach volume and recruiter time
- Transitioning a warm conversation into a formal interview process
- Maintaining relationships with candidates who aren't a fit right now
- Measuring response rates and refining messaging based on what works
Key prompts
First-touch outreach
- "Write a first-touch outreach message to a passive [role] candidate who recently [shipped a project / spoke at a conference / posted about a technical topic]."
- "Draft an outreach message for a senior candidate that doesn't mention the job title in the first two sentences."
- "Write three variations of an opening line referencing a candidate's specific background, from warm to more direct."
- "How do I personalize outreach at scale without it feeling templated?"
Nurture sequences
- "Design a 4-touch nurture sequence for a passive candidate who hasn't responded, spaced over 6 weeks."
- "Write a follow-up message for a candidate who opened the first email but didn't reply."
- "Draft a re-engagement message for a candidate we contacted 8 months ago who wasn't ready then."
- "What should touch 2 say differently from touch 1 to avoid sounding repetitive?"
What ships with it
3 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 · 58 lines · 73 tokens per session scan A 67bb7eeec023
hr-passive-candidate-engagement is a skill published in the GitHub repository tuanductran/hr-skills (58 stars, last pushed today), licensed MIT. It adds 73 tokens to every session and 722 once invoked, about $0.0004 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.
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