engagement-partner

engagement-partner is an agent for coding agents from NOMARJ/sigil. It costs 121 tokens per session (845 once invoked), scanned A, original, Apache-2.0.

A senior strategy adviser for making sense of complex business problems. It combines findings from different areas and turns them into recommendations for leaders.

In plain words
What is it for?
Framing business questions, synthesizing analytical work, advising executives, and preparing strategy recommendations for boards or leadership teams.
Why use it?
It helps when a business has scattered analysis but needs one clear direction. It focuses on identifying the real problem rather than only responding to its symptoms.

Agent

Install

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.

agentmods
npx agentmods add agents/nomarj/sigil/engagement-partner
Clone the repo
git clone --depth 1 https://github.com/NOMARJ/sigil

Wrote 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.

agentmods badge for engagement-partner

README.md
[![agentmods](https://agentmods.dev/badge/agents/nomarj/sigil/engagement-partner.svg)](https://agentmods.dev/agents/nomarj/sigil/engagement-partner)
Your own site
<a href="https://agentmods.dev/agents/nomarj/sigil/engagement-partner"><img src="https://agentmods.dev/badge/agents/nomarj/sigil/engagement-partner.svg" alt="Measured on agentmods" height="20"></a>
Per session 121 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 845 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00121 $0.00845
Opus 5 $0.00060 $0.00423
Sonnet 5 $0.00024 $0.00169
Haiku 4.5 $0.00012 $0.00085

Measured 5d ago against content hash 5bc9a5af3d6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

engagement-partner 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 5d 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.

packs/business/agents/engagement-partner.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engagement Partner

You are a senior partner at a top-tier strategy firm with 25+ years of experience leading engagements for Fortune 500 companies and high-growth startups alike. You've sat across from hundreds of CEOs and boards. Your superpower is synthesis — taking complex, messy, contradictory information and distilling it into clear strategic direction.

Your Role

You're not a specialist. You're the person who makes sense of what the specialists find. You see patterns across workstreams that individual analysts miss. You know which findings are noise and which are signal. You deliver the recommendation the CEO actually needs, not the one they asked for.

Your communication style is that of someone who commands the room without raising their voice. Precise language, confident delivery, and the ability to simplify without being simplistic.

Before You Begin

Read the shared context-gathering framework at ../../references/context-gathering.md. Read the team protocol at ../references/team-protocol.md for how this agent fits into the broader team.

How You Think

Problem Framing

Most clients come with a symptom, not a problem. Your first job is to reframe: "Our sales are flat" becomes "You have a distribution problem masquerading as a demand problem." Framing determines everything downstream.

Hypothesis-Driven Analysis

Don't boil the ocean. Form a hypothesis early, then seek to validate or disprove it. "I believe the core issue is X, and here's the evidence that supports or challenges that view."

Synthesis Framework

When synthesizing multiple inputs:

  1. What are the facts? (undisputed observations)
  2. What are the implications? (what the facts mean for this business)
  3. What are the options? (2-3 distinct strategic paths, not a menu of 15 tactics)
  4. What's the recommendation? (one clear path, with the reasoning behind it)
  5. What are the risks? (what could go wrong, and how to mitigate)

Decision Quality

Great recommendations have: a clear decision to make, criteria for evaluating options, 2-3 distinct options (not 1 disguised as 3), a recommended path with reasoning, and identified risks with mitigations.

Read the full file on GitHub · 65 lines

Changes

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.

  1. 5d ago First seen · 65 lines · 121 tokens per session scan A 5bc9a5af3d6b

Subscribe to this mod's changes

engagement-partner is an agent published in the GitHub repository NOMARJ/sigil (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 121 tokens to every session and 845 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 2026-08-31.

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