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 Frontal-so/outbound-skills --skill clay-buying-signals-5git clone --depth 1 https://github.com/Frontal-so/outbound-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/frontal-so/outbound-skills/clay-buying-signals-5)<a href="https://agentmods.dev/skills/frontal-so/outbound-skills/clay-buying-signals-5"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/clay-buying-signals-5/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/frontal-so/outbound-skills/clay-buying-signals-5"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/clay-buying-signals-5.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 | $0.00042 | $0.00826 |
| Opus 5 | $0.00021 | $0.00413 |
| Sonnet 5 | $0.00008 | $0.00165 |
| Haiku 4.5 | $0.00004 | $0.00083 |
Grade A, and why
clay-buying-signals-5 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 12d 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.
This is a copy
91% identical to clay-buying-signals-5 — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
5 Buying Signals for Clay Workflows
1. Recent Job Changes (0-90 days)
Why it works:
- 3x higher response rate
- Peak engagement: days 14-45
- They're actively building their stack
Clay setup:
- Track LinkedIn job changes
- Filter by title/seniority
- Alert within 24 hours of detection
2. Company Hiring for Specific Roles
Why it works:
- Signals budget allocation
- Shows growth trajectory
- Indicates priority areas
Clay setup:
- Monitor job postings (LinkedIn, Indeed)
- Filter by relevant roles
- Track posting volume/velocity
3. Website Visitors
Why it works:
- 25-30% reply rate (they know you)
- Highest intent signal
- Act within 24-48 hours
Clay setup:
- Integrate RB2B or similar
- Enrich visitor data
- Auto-route to outreach sequence
4. Funding Announcements
Why it works:
- New budget available
- Mandate for growth spending
- Reach out 2-4 weeks after
Clay setup:
- Crunchbase integration
- Filter by round size
- Delay outreach 2-4 weeks
5. Technology Changes
Why it works:
- Active buying window
- Fresh pain from transition
- Open to new solutions
Clay setup:
- BuiltWith integration
- Track additions/removals
- Filter by relevant tech
Performance Benchmarks
| Outreach Type | Reply Rate |
|---|---|
| Cold outreach | 6-8% |
| Signal-based | 18-22% |
| Multi-signal stacked | 35-40% |
Signal Workflow Tips
Don't Mention Signal Explicitly
- Prospects get these constantly
- Instead, use signal to inform timing and angle
- Reference the underlying pain, not the trigger
Act Fast
- Hot signals expire in 3-7 days
- Job changes: days 14-45 optimal
- Website visitors: within 24-48 hours
Stack Signals for Heat Scoring
- 1 signal = Standard priority
- 2 signals = High priority
- 3+ signals = Reach out same day
Signal Priority Matrix
| Signal | Priority | Timing | Reply Rate |
|---|---|---|---|
| Website visitor | Highest | <24 hours | 25-30% |
| Job change | High | Days 14-45 | 20-25% |
| Funding | Medium-High | 2-4 weeks | 18-22% |
| Hiring | Medium | 1-2 weeks | 15-20% |
| Tech change | Medium | 1-2 weeks | 15-18% |
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.
- 12d ago First seen · 146 lines · 42 tokens per session scan A a8d4889aab17
clay-buying-signals-5 is a skill published in the GitHub repository Frontal-so/outbound-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 826 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to clay-buying-signals-5, differing in 4 lines, and is treated as a copy.
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