stakeholder-map

stakeholder-map is a skill for Claude Code, Codex from Waddling-Penguin/mogkit. It costs 3 tokens per session (1,258 once invoked), scanned A, original, MIT.

A decision-mapping skill that lists each stakeholder's stated position, likely incentives, and the real point of disagreement. It identifies the conversations most likely to unblock the decision.

In plain words
What is it for?
Use it for product or project decisions involving several people, especially when disagreements need diagnosis rather than persuasion scripts.
Why use it?
It helps explain why a decision is stalled when the visible debate does not reflect the people’s underlying concerns.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for product or project decisions involving several people, especially when disagreements need diagnosis rather than persuasion scripts.

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Install with agentmods
npx agentmods add skills/waddling-penguin/mogkit/stakeholder-map
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.

Any agent
npx skills add Waddling-Penguin/mogkit --skill stakeholder-map
Clone the repo
git clone --depth 1 https://github.com/Waddling-Penguin/mogkit

Made for: Claude Code, Codex.

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-map

README.md
[![agentmods](https://agentmods.dev/badge/skills/waddling-penguin/mogkit/stakeholder-map.svg)](https://agentmods.dev/skills/waddling-penguin/mogkit/stakeholder-map)
Your own site
<a href="https://agentmods.dev/skills/waddling-penguin/mogkit/stakeholder-map"><img src="https://agentmods.dev/badge/skills/waddling-penguin/mogkit/stakeholder-map.svg" alt="Measured on agentmods" height="20"></a>
Per session 3 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,258 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00003 $0.01258
Opus 5 $0.00002 $0.00629
Sonnet 5 $0.00001 $0.00252
Haiku 4.5 $0.00000 $0.00126

Measured 7d ago against content hash ed8c22b7d203, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

stakeholder-map 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 7d 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.

skills/standalone/stakeholder-map/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

A stalled decision usually isn't a logic problem; it's a stakeholder problem. Each person around the table is responding to a different set of incentives, and they often disagree about something other than what they say they disagree about. This skill maps that landscape so the PM can see where the real fault line runs and which two or three conversations would actually unblock the situation.

It does NOT script what to say. It does not produce talking points, framing language, or "how to convince X" tactics. Naming a person's incentive honestly is useful diagnosis; scripting how to leverage it is manipulation, and that violates both the brand and the craft. The PM understands the room; the PM walks into the room as themselves.

Procedure

  1. Read the decision and the stakeholder list. If a stakeholder is listed by role only and the dynamic depends on the specific person, note that the map will be coarse and the PM should refine it with what they know.
  2. For each stakeholder, record their stated position in one line — what they are publicly arguing for or against on this decision. Use the words they (likely) use, not your reframing.
  3. For each stakeholder, infer their likely underlying interest — the incentive structure they are responding to. Frame it as a role-level incentive ("Engineering lead is on the hook for the platform's reliability quarter; new surface area costs them"), not a personal attack. If the PM has named specifics about a person, those can sharpen the interest; if not, stay at the role level.
  4. Identify the real fault line — the underlying dimension along which the room actually divides. Often this is not the surface argument. Common patterns: it looks like a build-vs-buy argument and is actually a control argument; it looks like a timing argument and is actually a trust argument. State the fault line plainly.
  5. Identify the alignment map: who is genuinely aligned with whom on the real fault line (which is sometimes a different grouping than the surface). Note any stakeholders whose stated position and underlying interest diverge — they are arguing for X but their incentive points toward Y. That gap is often where the unblock lies.
  6. Identify the minimum unblock set — the two or three conversations that, if held well, would move the situation. Each conversation framed as: who, what to surface (the interest, the gap, the real fault line — not a tactic), and what a good outcome of that conversation looks like.
  7. Emit the output contract. Do not script what to say in any conversation.

Read the full file on GitHub · 112 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. 7d ago First seen · 112 lines · 3 tokens per session scan A ed8c22b7d203

Subscribe to this mod's changes

stakeholder-map is a skill published in the GitHub repository Waddling-Penguin/mogkit (5 stars, last pushed 3mo ago), licensed MIT. It adds 3 tokens to every session and 1,258 once invoked, about $0.0000 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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