s4h-social-coalition-mapping

s4h-social-coalition-mapping is a skill for Claude Code from human-avatar/skills-for-humanity. It costs 72 tokens per session (1,139 once invoked), scanned A, original, MIT.

A method for mapping the people and groups whose support a proposal needs, including supporters, opponents, and people who could be persuaded. A coalition is a group of parties that coordinate around a shared goal.

In plain words
What is it for?
Use it to identify decision-makers and stakeholders, assess current support, find persuadable parties, and plan engagement for a proposal or organisational change.
Why use it?
It makes the support required for a decision explicit instead of assuming that a good proposal will move forward on its own. It helps identify the order in which stakeholders should be approached.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the skills-for-humanity plugin — 197 skills, 1 hook shipped together

Good fit Use it to identify decision-makers and stakeholders, assess current support, find persuadable parties, and plan engagement for a proposal or organisational change.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/human-avatar/skills-for-humanity/s4h-social-coalition-mapping
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 human-avatar/skills-for-humanity --skill s4h-social-coalition-mapping
Clone the repo
git clone --depth 1 https://github.com/human-avatar/skills-for-humanity

Made for: Claude Code.

Or install skills-for-humanity, the plugin that ships this one along with the rest of its 197 skills, 1 hook.

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 s4h-social-coalition-mapping

README.md
[![agentmods](https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-social-coalition-mapping/github.svg)](https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-social-coalition-mapping)
Your own site
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-social-coalition-mapping"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-social-coalition-mapping/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.

agentmods 80×15 button for s4h-social-coalition-mapping

Your own site · 80×15
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-social-coalition-mapping"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-social-coalition-mapping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,139 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00072 $0.01139
Opus 5 $0.00036 $0.00570
Sonnet 5 $0.00014 $0.00228
Haiku 4.5 $0.00007 $0.00114

Measured 9d ago against content hash 7f243e1e493b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

s4h-social-coalition-mapping 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 9d 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/s4h-social-coalition-mapping/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Coalition Mapping

Proposals fail not because they are wrong, but because they lack the support needed to move. Coalition mapping makes the social landscape explicit: who is already on board, who is opposed, who is persuadable, and what sequence of engagement gives the best chance of success.


Your Process

Step 1: Define the Required Support What does success require? Formal approval from whom? Informal buy-in from whom? What is the minimum needed for the proposal to move?

Framing check: Confirm the specific proposal and its success conditions before continuing. State what you've identified — the actual proposal being mapped, who owns it, and what "winning" looks like — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the proposal, its goal, and the decision-making context]. Is that right?"
  • Header: "Framing"
  • Options:
    • Yes — proceed — framing is correct
    • Adjust — one element is off; user will correct it before you continue
    • Reframe — different situation than read; incorporate the correction before proceeding

Step 2: List All Relevant Stakeholders Everyone who could affect whether this succeeds — including those who are currently uninvolved.

Step 3: Map Current Stance and Intensity For each stakeholder: current position (Supportive / Neutral / Resistant / Unknown) and intensity (Strong / Mild).

Step 4: Analyse Supportive Stakeholders Who does each supporter influence? Whose support can they bring along? How can they be activated rather than staying passive?

Step 5: Analyse Resistant Stakeholders What is the specific objection driving resistance — not what you assume, but what you know or can find out? What would genuinely move them? What would they need to be true?

Step 6: Identify the Minimum Viable Coalition Before narrowing: Show the complete stakeholder list from Step 2–3 to the user first. Use AskUserQuestion:

  • Question: "I've identified [N] stakeholders. Before I select the minimum viable coalition, are there any you'd flag as especially critical, or any I've missed?"
  • Header: "Prioritise"
  • Options:
    • Proceed with your selection — the set looks right
    • Flag one — user will name a specific stakeholder to include
    • Add a missing one — user will describe them

Read the full file on GitHub · 106 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. 9d ago First seen · 106 lines · 72 tokens per session scan A 7f243e1e493b

Subscribe to this mod's changes

s4h-social-coalition-mapping is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 1,139 once invoked, about $0.0004 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 2026-09-03.

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