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/intelligence-analysis-techniques/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/intelligence-analysis-techniques)<a href="https://agentmods.dev/skills/hack23/european-parliament-mcp-server/intelligence-analysis-techniques"><img src="https://agentmods.dev/badge/skills/hack23/european-parliament-mcp-server/intelligence-analysis-techniques/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/intelligence-analysis-techniques"><img src="https://agentmods.dev/badge/skills/hack23/european-parliament-mcp-server/intelligence-analysis-techniques.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 | $0.01310 |
| Opus 5 | $0.00011 | $0.00655 |
| Sonnet 5 | $0.00004 | $0.00262 |
| Haiku 4.5 | $0.00002 | $0.00131 |
Grade A, and why
intelligence-analysis-techniques 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 10d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intelligence Analysis Techniques for EU Parliament
Context
This skill applies when:
- Performing structured analysis of EU legislative outcomes and political dynamics
- Evaluating competing hypotheses about MEP voting behavior or political group strategy
- Conducting SWOT analysis of political group positioning in the European Parliament
- Applying Devil's Advocacy to challenge assumptions about EU policy trajectories
- Using structured analytic techniques to reduce cognitive bias in parliamentary analysis
- Forecasting legislative procedure outcomes (first reading, conciliation, rejection)
- Assessing political coalition feasibility for specific policy dossiers
- Analyzing trilogue negotiation dynamics between EP, Council, and Commission
This skill supports evidence-based analysis aligned with Hack23 ISMS data integrity and quality requirements.
Rules
- Apply Structured Techniques: Use established analytic frameworks (ACH, SWOT, Key Assumptions Check, Indicators & Warnings) rather than intuitive judgment alone
- Evidence-Based Analysis: Ground all analytical conclusions in verifiable data from the EP MCP Server — cite specific votes, documents, and procedures
- Hypothesis Pluralism: Generate at least three competing hypotheses before evaluation — avoid anchoring on the first plausible explanation
- Cognitive Bias Mitigation: Actively counter confirmation bias, availability heuristic, and mirror imaging when analyzing MEP motivations and political group strategies
- Distinguish Fact from Inference: Clearly separate observed data (MEP voted "Yes" on dossier X) from analytical judgments (MEP supports policy direction Y)
- Confidence Levels: Assign and communicate confidence levels (low/medium/high) with supporting rationale for all analytical assessments
- Temporal Framing: Specify the time horizon of analysis — short-term (current plenary), medium-term (legislative term), long-term (institutional evolution)
- Document Analytical Process: Record the technique used, evidence considered, alternatives evaluated, and reasoning chain per ISMS audit requirements
- Update Continuously: Treat analysis as iterative — revise conclusions when new EP data becomes available through MCP Server queries
- Peer Review: Subject significant analytical products to Devil's Advocacy or Red Team challenge before final assessment
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.
- 10d ago First seen · 114 lines · 22 tokens per session scan A 02f67917b66e
intelligence-analysis-techniques 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 1,310 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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