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 iPythoning/b2b-sdr-agent-template --skill telegram-toolkitgit clone --depth 1 https://github.com/iPythoning/b2b-sdr-agent-templateWrote 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/ipythoning/b2b-sdr-agent-template/telegram-toolkit)<a href="https://agentmods.dev/skills/ipythoning/b2b-sdr-agent-template/telegram-toolkit"><img src="https://agentmods.dev/badge/skills/ipythoning/b2b-sdr-agent-template/telegram-toolkit/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/ipythoning/b2b-sdr-agent-template/telegram-toolkit"><img src="https://agentmods.dev/badge/skills/ipythoning/b2b-sdr-agent-template/telegram-toolkit.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 | $0.00000 | $0.01631 |
| Opus 5.5 | $0.00000 | $0.00652 |
| Sonnet 5.5 | $0.00000 | $0.00326 |
| Haiku 4.5 | $0.00000 | $0.00163 |
Grade A, and why
telegram-toolkit 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 1mo 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
telegram-toolkit — Telegram SDR Best Practices & Templates
Bot commands, inline keyboards, large file handling, and channel-specific sales strategies for Telegram-based B2B SDR.
Why Telegram for B2B Sales
| Advantage | Impact |
|---|---|
| No 72h window | Proactive outreach anytime — nurture, follow-ups, stalled leads |
| 2GB file limit | Full product catalogs, certifications, video demos |
| Bot commands | Structured self-service (/catalog, /quote, /status) |
| Inline keyboards | One-tap BANT qualification, 3-5x faster than free-text |
| Username-based | Lower barrier — customer doesn't expose phone number |
| Free API | No per-message cost |
| No account bans | Bot API is stable, unlike WhatsApp's aggressive anti-automation |
Bot Commands
Register these commands with @BotFather using /setcommands:
start - Welcome message and product overview
catalog - Browse product catalog
quote - Request a quotation
status - Check order or quote status
contact - Speak with a human representative
language - Change conversation language
Command Behavior
/start
- Detect language from Telegram user profile
- Send welcome message with company intro (2-3 sentences max)
- Create CRM record: source =
telegram_organic, status =new - Offer product categories via inline keyboard
- Begin BANT qualification naturally
/catalog
- Check CRM for customer's product interest (if returning)
- If known interest: Send relevant product section + full catalog link
- If unknown: Send inline keyboard with product categories
- Always include: specs, MOQ, typical lead time
- File format: PDF preferred, under 20MB per file
/quote
- Check if BANT data exists in memory
- If incomplete: Trigger inline keyboard qualification flow
- If complete: Generate quote draft → send to owner for approval
- Confirm to customer: "I'm preparing your quotation, will have it ready shortly."
/status
- Read CRM for customer's active records
- Return: latest status, pending actions, next follow-up date
- If quote_sent: "Your quote was sent on [date]. Would you like to discuss it?"
- If no records: "I don't have an active order for you yet. Would you like to start one?"
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.
- 1mo ago First seen · 186 lines · 0 tokens per session scan A d709830be77b
telegram-toolkit is a skill published in the GitHub repository iPythoning/b2b-sdr-agent-template (191 stars, last pushed 18d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,631 tokens. 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.
Other skills, from other repositories
afrexai-lead-hunter
Enterprise-grade B2B lead generation, enrichment, scoring, and outreach sequencing for AI agents. Find ideal prospects, enrich with verified data, score against your ICP, and generate personalized outreach — all autonomously.
forward-deployed-selling
Operating doctrine for AI-era enterprise sales. Use when an agent works on accounts, deals, outreach, coaching, or pipeline — any revenue-affecting decision.
genudo-api-reference
Comprehensive reference for all public GenuDo REST API endpoints and remote Streamable HTTP MCP tools. Use when building custom dashboards, integrations, webhooks, or when looking up endpoint URLs, HTTP methods, headers, schemas, and payload examples.
tapac
Find and verify B2B business contacts in real time — source prospects from public company websites, Discord and Telegram, with instant email verification (2–5% bounce vs 10–35% for static databases). Use when the user wants to find business emails or phone numbers, build a cold-outreach lead list, source prospects…
build-action-webhook
Build or update an outbound HTTP action (webhook) on a Genudo pipeline or stage — to Zapier, Make, n8n, a CRM, Google Sheets, or any API. Use when the user wants the agent to register a lead, send data to an external tool, call an API, or trigger an automation. Configures method, URL, headers, payload fields mapped to…
automation-engineer
Use to build integrations and automations on a Genudo pipeline — webhook actions to Zapier, Make, n8n, CRMs, or Google Sheets, with the variables that feed them. Handles variable types, payload mapping, triggers, and action-to-action chaining. Use proactively when the user wants the agent to register leads, call an…