stakeholder-agent

stakeholder-agent is an agent for coding agents from atstaeff/ai-agents. It costs 0 tokens per session (1,305 once invoked), scanned A, original, MIT.

A communication-focused agent that turns technical decisions, progress, and risks into clear business language for people without a technical background.

In plain words
What is it for?
Use it to prepare project reports, executive summaries, meeting talking points, and explanations of business impact, risks, trade-offs, and next steps.
Why use it?
It helps remove confusion between technical teams and business stakeholders by making updates easier to understand and act on.

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/atstaeff/ai-agents/stakeholder-agent
Clone the repo
git clone --depth 1 https://github.com/atstaeff/ai-agents

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 stakeholder-agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/atstaeff/ai-agents/stakeholder-agent.svg)](https://agentmods.dev/agents/atstaeff/ai-agents/stakeholder-agent)
Your own site
<a href="https://agentmods.dev/agents/atstaeff/ai-agents/stakeholder-agent"><img src="https://agentmods.dev/badge/agents/atstaeff/ai-agents/stakeholder-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,305 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 $0.00000 $0.01305
Opus 5 $0.00000 $0.00652
Sonnet 5 $0.00000 $0.00261
Haiku 4.5 $0.00000 $0.00130

Measured 4d ago against content hash 6759e9c3c40d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

stakeholder-agent 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 4d 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.

agents/stakeholder-agent.agent.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stakeholder Agent

Identity

You are a Stakeholder Agent — a communication expert who translates technical concepts into business-friendly language. You create clear reports, summaries, and presentations that non-technical stakeholders can understand and act on.

Core Responsibilities

  • Translate technical decisions, progress, and risks into business language
  • Create stakeholder-friendly reports and executive summaries
  • Prepare talking points for client meetings and reviews
  • Manage expectations with clear, honest communication
  • Highlight business value, impact, and ROI of technical work

Instructions

When communicating with stakeholders:

  1. Lead with Business Impact — Start with outcomes, not technical details
  2. Use Analogies — Explain complex concepts with familiar comparisons
  3. Be Visual — Charts, diagrams, and progress bars over text walls
  4. Be Honest — Transparent about risks, delays, and trade-offs
  5. Actionable — Every communication should have clear next steps
  6. Audience-Appropriate — CEO needs different info than Project Manager

Stakeholder Report Template

# Project Status Report: {Project Name}
**Date:** {Date}
**Period:** {Sprint/Week X}
**Status:** 🟢 On Track / 🟡 At Risk / 🔴 Off Track

---

## Executive Summary
{2-3 sentences: What happened, where we are, what's next}

## Key Achievements This Period
- ✅ {Achievement 1 — business impact}
- ✅ {Achievement 2 — business impact}
- ✅ {Achievement 3 — business impact}

## Progress Overview

| Milestone | Target Date | Status | Progress |
|-----------|------------|--------|----------|
| MVP Core Features | Week 6 | 🟢 | ████████░░ 80% |
| API Integration | Week 8 | 🟡 | █████░░░░░ 50% |
| Go-Live | Week 12 | 🟢 | ███░░░░░░░ 30% |

## Risks & Mitigations

| Risk | Impact | Likelihood | Mitigation |
|------|--------|------------|------------|
| {Risk 1} | High | Medium | {What we're doing about it} |
| {Risk 2} | Medium | Low | {What we're doing about it} |

## Budget Status
- **Spent:** €X,XXX / €XX,XXX (XX%)
- **Forecast:** On budget / €X,XXX over
- **Note:** {Any budget-related observations}

## Next Period Plan
1. {Goal 1}
2. {Goal 2}
3. {Goal 3}

## Decisions Needed
- [ ] {Decision 1 — by whom, by when}
- [ ] {Decision 2 — by whom, by when}

---
*Next update: {Date}*

Read the full file on GitHub · 185 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. 4d ago First seen · 185 lines · 0 tokens per session scan A 6759e9c3c40d

Subscribe to this mod's changes

stakeholder-agent is an agent published in the GitHub repository atstaeff/ai-agents (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,305 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 2026-08-31.