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/strategic-communication-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/strategic-communication-analysis)<a href="https://agentmods.dev/skills/hack23/european-parliament-mcp-server/strategic-communication-analysis"><img src="https://agentmods.dev/badge/skills/hack23/european-parliament-mcp-server/strategic-communication-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/strategic-communication-analysis"><img src="https://agentmods.dev/badge/skills/hack23/european-parliament-mcp-server/strategic-communication-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 | $0.00023 | $0.01264 |
| Opus 5 | $0.00012 | $0.00632 |
| Sonnet 5 | $0.00005 | $0.00253 |
| Haiku 4.5 | $0.00002 | $0.00126 |
Grade A, and why
strategic-communication-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 12d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic Communication Analysis Skill
Context
This skill applies when:
- Analyzing narratives and framing in European Parliament plenary debates and committee hearings
- Monitoring media coverage of EU legislative processes and EP political dynamics
- Assessing communication strategies of EP political groups on key policy dossiers
- Evaluating influence networks through parliamentary question patterns and debate contributions
- Studying discourse framing in EP resolutions, reports, and adopted texts
- Tracking public communication by MEPs through official EP channels (speeches, written declarations)
- Analyzing how EP positions are communicated to national publics across 24 official EU languages
- Assessing the effectiveness of EP institutional communication (press releases, social media)
This skill supports transparent analysis of public parliamentary communications, aligned with Hack23 ISMS documentation and attribution standards.
Rules
- Public Sources Only: Analyze only publicly available EP communications — plenary speeches, committee hearing transcripts, official documents, press releases, and public statements accessible through MCP Server data
- Discourse Analysis Rigor: Apply established discourse analysis frameworks (Fairclough CDA, Hajer argumentative discourse analysis) to EP texts — avoid impressionistic interpretation
- Multilingual Awareness: Recognize that EP operates in 24 official languages — framing effects may differ across language versions of the same document; identify translation-induced meaning shifts
- Frame Identification: Systematically identify policy frames (diagnostic, prognostic, motivational) in EP debates — track which frames dominate across political groups and policy areas
- Attribution Precision: Distinguish between individual MEP positions, political group positions, committee positions, and EP institutional positions — these are different levels of communication authority
- Temporal Tracking: Monitor narrative evolution through legislative stages — framing at Commission proposal stage may differ significantly from adopted text, revealing EP's communication influence
- Influence Metrics: Measure communication influence through observable indicators — amendment adoption rates, media pickup of EP positions, citation in subsequent Commission proposals
- Audience Differentiation: Recognize that EP communications target multiple audiences simultaneously — EU institutions, national governments, media, civil society, and citizens across 27 states
- Bias Transparency: Explicitly acknowledge analytical perspective and potential biases when interpreting EP communications — no analysis is value-free
- GDPR and Data Ethics: Handle MEP communication data in compliance with GDPR — public speeches are public data, but systematic profiling of individual MEP communication patterns requires proportionality assessment per Hack23 Privacy Policy
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.
- 12d ago First seen · 97 lines · 23 tokens per session scan A 718e6d654c3c
strategic-communication-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 23 tokens to every session and 1,264 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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