A job-search workflow for finding useful contacts at target companies, such as personal connections, university alumni, former colleagues, and recruiters. It can prepare referral requests or direct messages and adjust a CV to a job description.

Find first- and second-degree contacts, alumni, former coworkers, and recruiters; prepare outreach in the database; and tailor a CV to a target role's requirements.

A referral or warm introduction can provide a route into a company beyond applying cold, while matching the CV to the job can make the application more relevant. The workflow also follows the user's outreach settings.

How galiprandi/job-seeker configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to galiprandi/job-seeker. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/galiprandi/job-seeker/main/.agents/skills/referrals/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/galiprandi/job-seeker

Made for: Claude Code, Codex.

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/galiprandi/job-seeker/referrals/github.svg)](https://agentmods.dev/skills/galiprandi/job-seeker/referrals)

Your own site

<a href="https://agentmods.dev/skills/galiprandi/job-seeker/referrals"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/referrals/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/galiprandi/job-seeker/referrals"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/referrals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,418 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	$0.00055	$0.01418
Opus 5.5	$0.00022	$0.00567
Sonnet 5.5	$0.00011	$0.00284
Haiku 4.5	$0.00006	$0.00142

Measured 2d ago against content hash c7f542b0aa9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

referrals 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 2d 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.

.agents/skills/referrals/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Warm Sourcing & Referrals

Trigger

Keyword: referrals (or variants: "warm sourcing", "buscar contactos", "solicitar referido")

The user says referrals or launches warm sourcing for a target company/role. Also executed as step 0 of the apply and targets flows to maximize conversion.

Flow

0. Pre-flight

Verify active browser session (see AGENTS.md "Browser session"): node .agents/skills/browser-automation/scripts/browser.js open <url> --headed (Gold Rule 5) if session closed

Load profile, university background, past companies, and job preferences from Postgres DB:

node scripts/db.js "SELECT data->'profile' AS profile, data->'job_preferences' AS prefs, data->'style_profile' AS style FROM users WHERE id = <user_id>"

Load strategy (see AGENTS.md "Strategy levels"):
```
node scripts/db.js "SELECT data->'strategy' AS strategy FROM users WHERE id = <user_id>"
```
Respect: cold_outreach (gates the recruiter-outreach branch in step 3). If referrals is not in sources_active, the flow should not run standalone — when invoked as step 0 of apply/targets, those flows handle the gate.

Load active preferences (see memory skill):

node scripts/db.js "SELECT category, key, value, confidence, source FROM preferences WHERE user_id = <user_id> AND status = 'active' ORDER BY category, key"

1. Warm Contact & Recruiter Discovery

For a target company and role:

# Automated discovery script
node scripts/linkedin-warm-sourcing.js --company "<Company>" --role "<Role>" --json

The script searches for:

1st & 2nd degree connections currently working at <Company>
University alumni (matching institutions from users.data.profile.education)
Ex-colleagues (matching past employers from users.data.profile.experience)
Recruiters & Hiring Managers assigned to the role/company

2. Referral Request Staging (Highest Conversion — Strategy #1)

If an internal contact, alumni, or ex-colleague is found:

Read the full file on GitHub · 119 lines

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.

2d ago Changed c7f542b0aa9e
1mo ago Changed 0607e57d15ad
1mo ago First seen · 119 lines · 55 tokens per session scan A ab63cc114c16

Subscribe to this mod's changes

referrals is a skill published in the GitHub repository galiprandi/job-seeker (58 stars, last pushed 2d ago), licensed MIT. It adds 55 tokens to every session and 1,418 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 2026-08-30.

Claude Code Marketing and SEO Productivity ai-agents automation career job-search linkedin

interviewing

Use when the user gets an interview invitation, moves into an interview process, wants to track interview stages, capture post-interview notes, draft follow-up messages, or update an application to interviewing.

Remotivated/job-hunt-skills · 43 tokens

career-compass

Use for any job-search or career task, even a short casual ask that never names Career Compass. Triggers include a pasted job posting or JD, a résumé or CV, "should I apply", "do I fit this", "help me apply", tailoring a résumé or cover letter, a LinkedIn headline or About section, tracking applications, a recruiter…

benskamps/career-compass-mcp · 211 tokens

vitaecontext-build

Build, normalize, and maintain the user's Career Context file so downstream platform outputs stay factual and consistent. Use when the user wants an agent to consolidate CV data, LinkedIn exports, GitHub history, project summaries, bio facts, achievements, or positioning into one professional source of truth before…

vitaecontext/vitaecontext · 67 tokens

get-started

Use when the user is new to Job Hunt Skills and wants to see what it does or set up their workspace — including "I'm new to Job Hunt Skills", "help me get started", "set me up", "first time using this", "here's my resume, tailor it for this job", "can you look at my resume", pasting a resume and a job posting…

Remotivated/job-hunt-skills · 132 tokens

today

See what needs attention in your job search today, such as follow-ups due, upcoming interviews, and stale applications, in priority order.

benskamps/career-compass-mcp · 29 tokens

week

Review your job-search week. What moved, stalled or closed, the patterns in your notes, your pace against your goal, and one focus for next week.

benskamps/career-compass-mcp · 34 tokens

job-seeker: Skill for Claude Code