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 agentmods add skills/ipythoning/b2b-sdr-agent-template/quotation-generatornpx skills add iPythoning/b2b-sdr-agent-template --skill quotation-generatorgit clone --depth 1 https://github.com/iPythoning/b2b-sdr-agent-templateWhat 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 | $0.00026 | $0.00433 |
| Opus 5 | $0.00013 | $0.00217 |
| Sonnet 5 | $0.00005 | $0.00087 |
| Haiku 4.5 | $0.00003 | $0.00043 |
Grade A, and why
quotation-generator 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 2d 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.
What it actually says
Quotation Generator
Generate professional proforma invoices for B2B export deals.
Trigger
- Customer requests quote/pricing
- Owner instructs: "Send quote to [customer]"
- Stage 5 of sales pipeline
Quote Content
Each proforma invoice includes:
- Company letterhead — logo, company name, address, contact info
- Customer info — company, contact person, country
- Product table — item, specs, quantity, unit price, total
- Terms — payment terms, delivery time, shipping method, Incoterms
- Validity — quote valid for 30 days (configurable)
- Notes — special conditions, certifications, warranty
Naming Convention
{{brand_code}}-YYYYMMDD-NNN (e.g., FY-20260324-001)
Multi-Language Support
Generate quotes in customer's language:
- English (default)
- French (West/Central Africa)
- Arabic (Middle East/North Africa)
- Spanish (Latin America)
- Portuguese (Brazil, Mozambique)
Workflow
- AI drafts quote based on conversation context and product-kb
- Send draft to owner via WhatsApp for approval
- Owner approves → AI sends to customer
- Update CRM: status =
quote_sent, attach quote reference
Post-Quote Tracking
- Day 3: If no reply → Follow up asking for feedback
- Day 7: If no reply → Second follow-up with value proposition
- Day 14: If no reply → Final follow-up or move to nurture
- Reply received → Update CRM, continue negotiation (Stage 6)
Product KB Integration
Reads from product-kb/catalog.json for:
- Product specs, dimensions, weight
- FOB/CIF pricing
- MOQ (Minimum Order Quantity)
- Lead time / production time
- Available certifications
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.
- 2d ago First seen · 54 lines · 26 tokens per session scan A 8f5995a55b5a
quotation-generator is a skill published in the GitHub repository iPythoning/b2b-sdr-agent-template (170 stars, last pushed 12d ago), licensed MIT. It adds 26 tokens to every session and 433 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 2026-08-30.
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