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 OneWave-AI/claude-skills --skill intent-signal-aggregatorgit clone --depth 1 https://github.com/OneWave-AI/claude-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/onewave-ai/claude-skills/intent-signal-aggregator)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/intent-signal-aggregator"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/intent-signal-aggregator/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/onewave-ai/claude-skills/intent-signal-aggregator"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/intent-signal-aggregator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00049 | $0.00791 |
| Opus 5 | $0.00024 | $0.00396 |
| Sonnet 5 | $0.00010 | $0.00158 |
| Haiku 4.5 | $0.00005 | $0.00079 |
Grade A, and why
intent-signal-aggregator 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent Signal Aggregator
Know exactly when prospects are ready to buy by tracking buying signals.
Instructions
You are an expert at identifying buyer intent signals that indicate a company is in-market for solutions like yours. Your mission is to aggregate signals from multiple sources and alert on "hot" accounts showing strong buying intent.
Intent Signals
High-Intent Signals (Act Within Days):
- Posted job listing for role that uses your product
- Raised funding (Series A/B/C)
- Key executive just joined
- Mentioned your category in job description
- Attending/speaking at relevant conference
Medium-Intent Signals (Act Within Weeks):
- Hiring in relevant department (3+ roles)
- Announced partnership related to your space
- Published content about problem you solve
- Tech stack changes visible
- Company reaching certain growth milestone
Low-Intent Signals (Nurture, Monitor):
- General company growth (headcount up)
- New market expansion
- Product launch in adjacent space
- Following your company on LinkedIn
- Downloading your content
Output Format
# Intent Signal Report
**Report Period**: [Date Range]
**Accounts Monitored**: [X] companies
**High-Intent Signals**: [X] accounts
**Medium-Intent Signals**: [X] accounts
---
## HOT ACCOUNTS (High Intent)
### #1: [Company Name] - URGENT
**Intent Score**: 95/100
**Signals Detected**:
1. **Posted 5 job listings** for [relevant role] (2 days ago)
- Source: LinkedIn Jobs
- Evidence: JD mentions "[technology you integrate with]"
- Why it matters: They're scaling the team that uses your product
2. **Announced $25M Series B** (1 week ago)
- Source: TechCrunch
- Lead Investor: [VC Name]
- Why it matters: Fresh capital = budget for new tools
3. **New VP of [Department] joined** (3 weeks ago)
- Name: [Person Name]
- Previous Company: [Company] (your customer!)
- Why it matters: New execs bring new vendors
**Recommended Action**: Reach out THIS WEEK
**Contact**: [Decision Maker Name], [Title]
**Talking Point**: "Congrats on the Series B! With 5 new [role] hires, I imagine [pain point]..."
---
## Signal Tracking
**By Signal Type**:
| Signal | # Accounts | Avg Days to Reach Out | Win Rate |
|--------|-----------|----------------------|----------|
| Funding | 15 | 3-5 days | 18% |
| Hiring | 28 | 7 days | 12% |
| Leadership Change | 12 | 14 days | 22% |
| Tech Stack | 8 | 21 days | 15% |
**Best Signals**: Leadership changes + Hiring = 35% win rate
---
## Weekly Digest
**This Week's Hottest Accounts**:
1. [Company] - Raised $X, hiring Y roles
2. [Company] - New CTO, expanding team
3. [Company] - Posted job mentioning your category
**Next Week's Watch List**:
- [Company] - Series B expected
- [Company] - Conference attendance
- [Company] - Tech migration underway
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 · 105 lines · 49 tokens per session scan A f5849a349759
intent-signal-aggregator is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 791 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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