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 matteotitta/genesys-skills --skill jobs-signalgit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/jobs-signal)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/jobs-signal"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/jobs-signal/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/matteotitta/genesys-skills/jobs-signal"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/jobs-signal.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 | $0.00031 | $0.02464 |
| Opus 5 | $0.00015 | $0.01232 |
| Sonnet 5 | $0.00006 | $0.00493 |
| Haiku 4.5 | $0.00003 | $0.00246 |
Grade A, and why
jobs-signal 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 — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/jobs-signal — Hiring-intent signals from LinkedIn jobs
Companies that are hiring are companies that are spending. A target account hiring 5 RevOps roles signals revenue-tooling intent. A whole ABM list hiring AI engineers signals a market shift. This skill turns LinkedIn jobs data into structured signals for ABM and niche-signal workflows.
Imported via: /steal analysis 2026-05-01 (.claude/discovery/0526-apify-linkedin-actors-steal-analysis.md). Closed the only direct gap on the Apify-actor list — there was no existing capability for hiring-intent signals.
When to use
Run this skill when
- You have an ABM target list and want intent signals layered on
- You're researching a niche and want to know which companies are actively building in it
- A client wants competitive insight into who's hiring for [role] in [vertical]
- Pre-discovery prep wants "is this prospect hiring? for what?" as account context
Do NOT use when
- You need candidate-side data (resumes, profiles for recruiting) — wrong tool
- You need general job-board aggregation (Indeed, Glassdoor) — different surface
- You need company firmographics — use
/company-context - You need contact data at companies — use
/clay-searchor/deepline-enrich
Two modes — voice-locked
Mode 1 — Bulk scan (default)
Actor: valig/linkedin-jobs-scraper
Cost: $0.32/1k jobs (DIAMOND tier) → $0.40/1k (FREE tier)
Use when: scanning many companies for hiring activity, or running market-wide role queries
The cheapest reliable jobs scraper at 99.7% success rate, 4.98★. Returns role title, location, posting date, company URL, job description.
Mode 2 — Enriched (recruiter contact + AI enrichments)
Actor: fantastic-jobs/advanced-linkedin-job-search-api
Cost: $1.50/1k jobs (DIAMOND tier) → $5/1k (FREE tier) — 5–12× more expensive than Mode 1
Use when: the client needs recruiter contact data alongside the jobs (to outreach the recruiter, not the company), or AI-enriched job classifications (seniority extraction, skill tagging, normalised role taxonomy)
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 · 214 lines · 224 tokens per session scan A 228f50222703
jobs-signal is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 2,464 once invoked, about $0.0002 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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