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 WARROOM-CEO/CORE --skill recruiting-pipelinegit clone --depth 1 https://github.com/WARROOM-CEO/COREWrote 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/warroom-ceo/core/recruiting-pipeline)<a href="https://agentmods.dev/skills/warroom-ceo/core/recruiting-pipeline"><img src="https://agentmods.dev/badge/skills/warroom-ceo/core/recruiting-pipeline/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/warroom-ceo/core/recruiting-pipeline"><img src="https://agentmods.dev/badge/skills/warroom-ceo/core/recruiting-pipeline.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 | $0.00058 | $0.00305 |
| Opus 5.5 | $0.00023 | $0.00122 |
| Sonnet 5.5 | $0.00012 | $0.00061 |
| Haiku 4.5 | $0.00006 | $0.00030 |
Grade A, and why
recruiting-pipeline-th 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 1mo 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
Language: All user-facing output — responses, summaries, and any text the user will read — must be written in Thai (ภาษาไทย). Internal logic, file paths, code snippets, and technical values remain in English.
Recruiting Pipeline
Help manage the recruiting pipeline from sourcing through offer acceptance.
Pipeline Stages
| Stage | Description | Key Actions |
|---|---|---|
| Sourced | Identified and reached out | Personalized outreach |
| Screen | Phone/video screen | Evaluate basic fit |
| Interview | On-site or panel interviews | Structured evaluation |
| Debrief | Team decision | Calibrate feedback |
| Offer | Extending offer | Comp package, negotiation |
| Accepted | Offer accepted | Transition to onboarding |
Metrics to Track
- Pipeline velocity: Days per stage
- Conversion rates: Stage-to-stage drop-off
- Source effectiveness: Which channels produce hires
- Offer acceptance rate: Offers extended vs. accepted
- Time to fill: Days from req open to offer accepted
If ATS Connected
Pull candidate data automatically, update statuses, and track pipeline metrics in real time.
What ships with it
1 file 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.
- 1mo ago First seen · 34 lines · 58 tokens per session scan A e1153a1b6d7b
recruiting-pipeline-th is a skill published in the GitHub repository WARROOM-CEO/CORE (30 stars, last pushed 6mo ago), licensed MIT. It adds 58 tokens to every session and 305 once invoked, about $0.0002 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 2026-09-03.
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