Borrowing it
Nothing to install: this file belongs to Hack23/European-Parliament-MCP-Server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Hack23/European-Parliament-MCP-Server/main/.github/skills/electoral-analysis/SKILL.mdgit clone --depth 1 https://github.com/Hack23/European-Parliament-MCP-ServerWrote 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/skills/hack23/european-parliament-mcp-server/electoral-analysis)<a href="https://agentmods.dev/skills/hack23/european-parliament-mcp-server/electoral-analysis"><img src="https://agentmods.dev/badge/skills/hack23/european-parliament-mcp-server/electoral-analysis/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/skills/hack23/european-parliament-mcp-server/electoral-analysis"><img src="https://agentmods.dev/badge/skills/hack23/european-parliament-mcp-server/electoral-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.01200 |
| Opus 5 | $0.00011 | $0.00600 |
| Sonnet 5 | $0.00004 | $0.00240 |
| Haiku 4.5 | $0.00002 | $0.00120 |
Grade A, and why
electoral-analysis 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 11d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Electoral Analysis Skill
Context
This skill applies when:
- Forecasting European Parliament election outcomes across 27 member states
- Analyzing voter turnout patterns and demographic trends in EP elections
- Projecting seat distributions using national polling data and D'Hondt/Sainte-Laguë allocation methods
- Studying party list systems and their impact on MEP selection (open vs. closed lists)
- Comparing national party performance with transnational political group outcomes
- Evaluating the Spitzenkandidaten process and its effect on voter mobilization
- Assessing the impact of European electoral reforms (transnational lists, uniform electoral procedure proposals)
- Tracking party fragmentation and new party emergence across the EU
This skill leverages EP MCP Server data for historical election results and MEP composition, aligned with Hack23 ISMS data integrity requirements.
Rules
- Electoral System Diversity: Recognize that 27 member states use different proportional representation variants — D'Hondt (most common), Sainte-Laguë (Scandinavian states), STV (Ireland), with varying thresholds (0%–5%) and constituency structures
- Seat Allocation Accuracy: Apply the correct apportionment formula per member state when projecting seats — never assume a single method applies across the EU
- Turnout Contextualization: Analyze EP election turnout (historically 42%–51%) relative to national election turnout — account for compulsory voting (Belgium, Luxembourg, Greece) and second-order election effects
- National vs. European Dynamics: Distinguish between national political factors driving EP election results and genuine European-level campaign effects — most voters are influenced by domestic considerations
- Political Group Mapping: Map national party results to EP political group compositions — a party winning seats nationally may join different groups across terms (e.g., Fidesz EPP→NI→Patriots)
- Degressive Proportionality: Apply the EU's degressive proportionality principle (6–96 seats per state) when analyzing seat distribution fairness and representation ratios
- Historical Baselines: Compare projections against historical EP election results (1979–2024) using MCP Server data — identify structural trends vs. one-off shifts
- Margin of Error: Report projection uncertainty ranges — EP seat projections typically carry ±10–15 seat margins per political group due to aggregation of 27 national polls
- GDPR Compliance: Handle voter demographic data and individual MEP electoral performance data in compliance with GDPR per Hack23 Privacy Policy
- Attribution: Cite European Parliament Open Data Portal, Eurostat, and national electoral commissions as authoritative data sources
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.
- 11d ago First seen · 86 lines · 22 tokens per session scan A 674d28171c3d
electoral-analysis is a skill published in the GitHub repository Hack23/European-Parliament-MCP-Server (28 stars, last pushed yesterday), licensed Apache-2.0. It adds 22 tokens to every session and 1,200 once invoked, about $0.0001 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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