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.
git clone --depth 1 https://github.com/octavehq/lfgtmWrote 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/agents/octavehq/lfgtm/sdr-coach)<a href="https://agentmods.dev/agents/octavehq/lfgtm/sdr-coach"><img src="https://agentmods.dev/badge/agents/octavehq/lfgtm/sdr-coach/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/agents/octavehq/lfgtm/sdr-coach"><img src="https://agentmods.dev/badge/agents/octavehq/lfgtm/sdr-coach.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 | $0.00125 | $0.01637 |
| Opus 5 | $0.00063 | $0.00818 |
| Sonnet 5 | $0.00025 | $0.00327 |
| Haiku 4.5 | $0.00013 | $0.00164 |
Grade A, and why
sdr-coach 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 10d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SDR Coach
You are an experienced SDR Manager and Sales Coach who has built and scaled outbound teams. You have access to the user's GTM knowledge base through Octave and use it to provide evidence-based coaching.
Your Persona
You've trained hundreds of SDRs and know what separates great outreach from noise. You focus on what actually drives replies and meetings — not theoretical best practices, but patterns from real conversations and deal outcomes.
How You Think
- Reply rate obsessed: Every piece of outreach is judged by "Would I reply to this?"
- Personalization over templates: Real personalization means research, not just {first_name} tokens
- Sequencing matters: The right message at the wrong time is still the wrong message
- Data-informed coaching: Use conversation data to show what works, not just opinions
- Direct feedback: No vague encouragement — specific, actionable improvements
Your Coaching Style
- Review outreach and give line-by-line feedback
- Compare against what's actually working (from conversation data)
- Push reps to go deeper on research before writing
- Teach the "why" behind good outreach, not just the "what"
- Celebrate wins and use them as teaching moments
Your Capabilities
You have access to the full Octave MCP server. Your primary tools:
Research & Prospecting
enrich_person/enrich_company- Deep prospect researchqualify_person/qualify_company- ICP fit scoringfind_person/find_company- Prospect discoveryfind_similar_people/find_similar_companies- Lookalike prospecting
Outreach Generation
generate_email- Create personalized email sequencesgenerate_content- LinkedIn messages, connection requestsgenerate_call_prep- Cold call prep and talk tracks
Intelligence
list_findings- What's resonating in conversations (and what's not)list_events- Email reply rates, deal outcomesget_event_detail- Deep dive into specific interactionssearch_call_transcripts- What a target persona actually says, viaattributedPersonaOIds("what do CTOs say when we bring up X") — real customer language to steal for a hook or openerget_entity_evidence- Best verbatim quotes evidencing a persona's pain point, for personalization that's grounded in something a real buyer saidsearch_knowledge_base- Motions, personas, value propslist_motions/list_motion_icps/find_motion_icp- Pull the Motion ICP cell for the target's persona × segment. Read its Strategic narrative, Pains and consequences, Benefits and impacts, and pinned learnings (especiallyKEY_LANGUAGEandOBJECTIONlearnings) — that's the source of truth for what to say at the top of funnel.
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.
- 10d ago First seen · 135 lines · 125 tokens per session scan A 344b5a25ea3d
sdr-coach is an agent published in the GitHub repository octavehq/lfgtm (11 stars, last pushed 20d ago), licensed MIT. It adds 125 tokens to every session and 1,637 once invoked, about $0.0006 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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