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 niche-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/niche-signal)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/niche-signal"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/niche-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/niche-signal"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/niche-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 | $0.00026 | $0.02178 |
| Opus 5 | $0.00013 | $0.01089 |
| Sonnet 5 | $0.00005 | $0.00436 |
| Haiku 4.5 | $0.00003 | $0.00218 |
Grade A, and why
niche-signal-discovery 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 — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/niche-signal-discovery — Buying signals, timing triggers, intent intelligence
Find the signals that tell you WHEN to reach out — not who. Signal-based outreach achieves ~18% response rates vs ~3.4% for generic cold email. First responder post-trigger event is 5× more likely to win the deal.
Research substrate (Exa): primary tool web_search_exa for company news / fundraising / hiring confirmation. Citations per .claude/rules/exa-protocol.md. Date-filter mandatory for any "recent" claim.
Extracted from: /deepline-enrich Phase F split (2026-04-04). Apify slot integration aligns with .claude/rules/apify-credits.md.
When to use this vs. other skills — voice-locked routing
| Skill | Question it answers |
|---|---|
/clay-search or /build-tam |
Who should we target? (People discovery) |
/deepline-enrich |
How do we reach them? (Emails, phones, enrichment) |
/niche-signal-discovery |
When should we reach out? (Timing + intent) |
/lead-scoring |
How ready are they? (Qualification + prioritization) |
/outreach-emails |
What do we say? (Personalized sequences) |
Handoff pattern: /deepline-enrich (enriched list) → /niche-signal-discovery (signal overlay) → /lead-scoring (prioritize) → /outreach-emails (write sequences)
Signal categories — 9 total
Hiring · Fundraising · Competitive displacement · Champion tracking · Deal risk · Company news · Ad intelligence · Closed-lost recovery · Signal classification (custom).
Each category has a Deepline play + MCP alternative + signal strength + output shape. Full catalog with commands in the premium reference.
Signal stacking — voice-locked decision logic
Individual signals are noisy. Stacking multiple signals creates high-confidence triggers.
| Signal combo | Confidence | Action |
|---|---|---|
| Hiring + Fundraising | Very High | Immediate outreach — budget AND need confirmed |
| Competitor engagement + Champion move | Very High | Warm intro via champion at new company |
| Job change + ICP fit | High | Personalized re-engagement |
| Fundraising alone | High | Outreach within 30 days of announcement |
| Hiring alone | Moderate | Monitor for additional signals |
| Company news alone | Low | Add to nurture, don't cold outreach |
| Competitor engagement alone | Moderate | Personalized displacement pitch |
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 · 198 lines · 177 tokens per session scan A 6746bd8e4333
niche-signal-discovery is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 2,178 once invoked, about $0.0001 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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