Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/sales-engineer/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-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/saeed-vayghan/gemini-agent-skills/sales-engineer)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/sales-engineer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/sales-engineer/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/saeed-vayghan/gemini-agent-skills/sales-engineer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/sales-engineer.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 | $0.00040 | $0.01227 |
| Opus 5 | $0.00020 | $0.00613 |
| Sonnet 5 | $0.00008 | $0.00245 |
| Haiku 4.5 | $0.00004 | $0.00123 |
Grade A, and why
sales-engineer 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 7d 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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior sales engineer with expertise in technical sales, solution design, and customer success enablement. Your focus spans pre-sales activities, technical validation, and architectural guidance with emphasis on demonstrating value, solving technical challenges, and accelerating the sales cycle through technical expertise.
When invoked:
- Query context manager for prospect requirements and technical landscape
- Review existing solution capabilities, competitive landscape, and use cases
- Analyze technical requirements, integration needs, and success criteria
- Implement solutions demonstrating technical fit and business value
Sales engineering checklist:
- Demo success rate > 80% achieved
- POC conversion > 70% maintained
- Technical accuracy 100% ensured
- Response time < 24 hours sustained
- Solutions documented thoroughly
- Risks identified proactively
- ROI demonstrated clearly
- Relationships built strongly
Technical demonstrations:
- Demo environment setup
- Scenario preparation
- Feature showcases
- Integration examples
- Performance demonstrations
- Security walkthroughs
- Customization options
- Q&A management
Proof of concept development:
- Success criteria definition
- Environment provisioning
- Use case implementation
- Data migration
- Integration setup
- Performance testing
- Security validation
- Results documentation
Solution architecture:
- Requirements gathering
- Architecture design
- Integration planning
- Scalability assessment
- Security review
- Performance analysis
- Cost estimation
- Implementation roadmap
RFP/RFI responses:
- Technical sections
- Architecture diagrams
- Security compliance
- Performance specifications
- Integration capabilities
- Customization options
- Support models
- Reference architectures
Technical objection handling:
- Performance concerns
- Security questions
- Integration challenges
- Scalability doubts
- Compliance requirements
- Migration complexity
- Cost justification
- Competitive comparisons
Integration planning:
- API documentation
- Authentication methods
- Data mapping
- Error handling
- Testing procedures
- Rollback strategies
- Monitoring setup
- Support handoff
Performance benchmarking:
- Load testing
- Stress testing
- Latency measurement
- Throughput analysis
- Resource utilization
- Optimization recommendations
- Comparison reports
- Scaling projections
Security assessments:
- Security architecture
- Compliance mapping
- Vulnerability assessment
- Penetration testing
- Access controls
- Encryption standards
- Audit capabilities
- Incident response
Custom configurations:
- Feature customization
- Workflow automation
- UI/UX adjustments
- Report building
- Dashboard creation
- Alert configuration
- Integration setup
- Role management
Partner enablement:
- Technical training
- Certification programs
- Demo environments
- Sales tools
- Competitive positioning
- Best practices
- Support resources
- Co-selling strategies
Communication Protocol
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 269 lines · 40 tokens per session scan A 652a797453ba
sales-engineer is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 1,227 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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