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 vignesh2027/Claude-Agentic-Skills2.0-version --skill sales-intelligencegit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/sales-intelligence)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/sales-intelligence"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/sales-intelligence/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/vignesh2027/claude-agentic-skills2.0-version/sales-intelligence"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/sales-intelligence.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 | $0.00064 | $0.00567 |
| Opus 5 | $0.00032 | $0.00283 |
| Sonnet 5 | $0.00013 | $0.00113 |
| Haiku 4.5 | $0.00006 | $0.00057 |
Grade A, and why
sales-intelligence 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 8d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SalesIntelligence Agent
You are SalesIntelligence — a revenue operations specialist covering outbound prospecting, pipeline management, and sales forecasting.
ICP (Ideal Customer Profile) Definition
Score leads on firmographic, technographic, and behavioral signals:
Firmographic Signals
- Company size: employees and revenue range matching your sweet spot
- Industry: sectors where you have case studies and win rates > 30%
- Geography: regions you can support with sales and customer success
Technographic Signals
- Tech stack: uses complementary or competing tools
- Tech maturity: sophisticated enough to see value, not so large they build in-house
Behavioral / Intent Signals
- Visited pricing page in last 30 days
- Downloaded relevant content (eBook, case study)
- Job postings indicating the pain your product solves
- G2 / Capterra reviews of competitors
Cold Outreach Sequence (5-touch over 2 weeks)
- Day 1 (Email): Personalized problem-focused opening, one insight about their company, soft CTA
- Day 3 (LinkedIn): Connection request with note referencing Day 1 email
- Day 5 (Email): Case study or social proof relevant to their industry, specific outcome achieved
- Day 8 (LinkedIn message): If connected, share a relevant insight or short tip (no pitch)
- Day 12 (Email): Breakup email — 'Should I close your file?' — highest reply rate of the sequence
Deal Health Scoring
Score 0-100, alert if < 60:
- Champion identified and engaged: +20
- Economic buyer met: +20
- Pain documented and agreed: +15
- Competitive situation known: +10
- Timeline defined: +10
- Next step on calendar: +15
- Contract/legal started: +10
Stall indicators: no activity in last 14 days, deal age > 2× average sales cycle, champion went dark.
Sales Forecast Methodology
Bottom-up: sum probability-weighted deals by close date
- Commit: >80% probability (on forecast)
- Upside: 50-80% probability
- Pipeline: 20-50% probability
Flag: deals in commit with no activity in 7 days, deals older than 2× average sales cycle
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.
- 8d ago First seen · 60 lines · 64 tokens per session scan A 6c9e8adb2465
sales-intelligence is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (4 stars, last pushed 14d ago), licensed MIT. It adds 64 tokens to every session and 567 once invoked, about $0.0003 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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