A hiring playbook for building a remote real-estate investment team, from defining roles to onboarding new staff.

It helps hire data managers, prospectors, lead managers, acquisitions managers, and disposition managers, including writing job posts and planning interviews.

It prevents unclear expectations by defining each role’s regular tasks, success measure, location, and pay before recruiting.

team-hiring — Skill for Claude Code and Codex by DataSift-Ty-Personal

Install

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.

Any agent

npx skills add DataSift-Ty-Personal/SiftStack --skill team-hiring

Clone the repo

git clone --depth 1 https://github.com/DataSift-Ty-Personal/SiftStack

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin team-hiring — /plugin install team-hiring after adding the marketplace above.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/datasift-ty-personal/siftstack/team-hiring/github.svg)](https://agentmods.dev/skills/datasift-ty-personal/siftstack/team-hiring)

Your own site

<a href="https://agentmods.dev/skills/datasift-ty-personal/siftstack/team-hiring"><img src="https://agentmods.dev/badge/skills/datasift-ty-personal/siftstack/team-hiring/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/datasift-ty-personal/siftstack/team-hiring"><img src="https://agentmods.dev/badge/skills/datasift-ty-personal/siftstack/team-hiring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,620 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00152	$0.01620
Opus 5.5	$0.00061	$0.00648
Sonnet 5.5	$0.00030	$0.00324
Haiku 4.5	$0.00015	$0.00162

Measured 2mo ago against content hash 3c260619e228, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

team-hiring 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.

skills/team-hiring/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Team hiring for a remote REI operation

Most hiring failures in this business are not talent failures. If you can go to the person you think is underperforming and they cannot tell you their daily, weekly and monthly tasks, and they cannot name the one number they are judged on, the process failed before they did.

So this skill works in that order: define the role and its number first, then decide where to hire and what to pay, then post, then interview against the number, then onboard into documented tasks. Do not skip to the job post.

  role + North Star KPI
        |
        v
  geography + pay band  ->  job description  ->  post (Indeed / Facebook)
                                                      |
                                                      v
                                              applicants arrive
                                                      |
                                           [ candidate-intake skill ]
                                                      |
                                                      v
                                        interview against the KPI
                                                      |
                                                      v
                                      onboarding: tasks, SOPs, KPI review

When to use which reference

Read only the file you need.

You are doing	Read
Deciding who to hire next, or what a role actually owns	`references/roles-and-kpis.md`
Choosing a country, setting salary or commission	`references/pay-and-geography.md`
Writing the job description or the post	`references/job-descriptions.md`
Running the interview, or the first two weeks	`references/interview-and-onboarding.md`

Step 1: Pick the role by what is actually breaking

Ask what is breaking before recommending a hire. The answer usually names the role.

Marketing does not go out on schedule, lists are stale, uploads are inconsistent: data manager.
Marketing goes out but nobody is calling it, or dials are under 150 a day: prospector.
Leads come in and go cold, follow-up is inconsistent: lead manager.
Leads are qualified but offers are not getting made or closed: acquisitions manager.
Contracts are signed but buyers are thin and assignments drag: dispo.

Read the full file on GitHub · 152 lines

Files

What ships with it

4 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.

Changes

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 · 152 lines · 152 tokens per session scan A 3c260619e228

Subscribe to this mod's changes

team-hiring is a skill published in the GitHub repository DataSift-Ty-Personal/SiftStack (23 stars, last pushed 23d ago), licensed MIT. It adds 152 tokens to every session and 1,620 once invoked, about $0.0006 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 2026-08-30.

team-hiring next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
team-hiringDataSift-Ty-Personal/SiftStack	Skill	23	23d ago	MIT	A	152	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code