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/legislative-monitoring/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/legislative-monitoring)<a href="https://agentmods.dev/skills/hack23/european-parliament-mcp-server/legislative-monitoring"><img src="https://agentmods.dev/badge/skills/hack23/european-parliament-mcp-server/legislative-monitoring/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/legislative-monitoring"><img src="https://agentmods.dev/badge/skills/hack23/european-parliament-mcp-server/legislative-monitoring.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 | $0.00020 | $0.01349 |
| Opus 5 | $0.00010 | $0.00674 |
| Sonnet 5 | $0.00004 | $0.00270 |
| Haiku 4.5 | $0.00002 | $0.00135 |
Grade A, and why
legislative-monitoring 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Legislative Monitoring Skill
Context
This skill applies when:
- Tracking dossiers through the ordinary legislative procedure (Art. 294 TFEU) from Commission proposal to adoption
- Analyzing committee voting patterns and rapporteur effectiveness in shaping legislative outcomes
- Monitoring trilogue negotiations between EP, Council, and Commission on pending legislation
- Evaluating amendment success rates by political group, committee, and individual MEP
- Tracking legislative output metrics: time-to-adoption, first-reading agreement rates, conciliation frequency
- Comparing EP legislative priorities across terms by analyzing dossier volumes and policy domain distribution
- Assessing committee workload distribution and resource allocation across 20 standing committees
- Monitoring implementation follow-up: EP oversight of Commission delegated and implementing acts
This skill enables systematic legislative oversight using EP MCP Server data, aligned with Hack23 ISMS data integrity and audit requirements.
Rules
- Procedure Identification: Always identify the applicable legislative procedure first (ordinary, consent, consultation, budget) — this determines EP's power and the relevant decision-making stages to monitor
- Stage-by-Stage Tracking: Monitor each procedural stage separately — committee referral, committee vote, plenary first reading, Council position, second reading, conciliation — each stage has different dynamics
- Amendment Tracking: Systematically track amendments from tabling through committee to plenary — amendment survival rates reveal where legislative power actually resides
- Voting Coalition Analysis: Identify the majority coalition for each significant vote — grand coalition (EPP+S&D), centre-right (EPP+Renew+ECR), or progressive (S&D+Greens+Left) — different coalitions dominate different policy areas
- Committee Effectiveness Metrics: Measure committee performance through objective indicators — percentage of committee position adopted by plenary, amendment adoption rates, dossier throughput, and inter-committee coordination (associated committees under Rule 57)
- Trilogue Transparency: Monitor trilogue outcomes by comparing EP first-reading position with final adopted text — the EP Briefing database and conciliation committee reports provide key data points
- Rapporteur Influence Assessment: Evaluate rapporteur effectiveness by comparing draft report provisions with final legislative text — control for political group size and committee power dynamics
- Temporal Benchmarking: Compare legislative output across EP terms (EP5–EP10) — account for external factors (COVID, Ukraine war, enlargement) that affect legislative productivity
- Data Completeness: Flag when MCP Server data may be incomplete for pending procedures — trilogue negotiations are partially confidential, and Council positions require cross-referencing external sources
- Audit Trail: Maintain complete records of legislative monitoring queries and analytical methodology per ISMS audit requirements — document data sources, filters, and analytical assumptions
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 · 104 lines · 20 tokens per session scan A c8dcb305cdfa
legislative-monitoring is a skill published in the GitHub repository Hack23/European-Parliament-MCP-Server (28 stars, last pushed yesterday), licensed Apache-2.0. It adds 20 tokens to every session and 1,349 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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