Digital Government Studies
Query RIA studies, analyses, and overviews for digital-government operational evidence and policy context.
Install
$ agentstack add skill-taivop-marketplace-digital-government-studies ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-taivop-marketplace-digital-government-studies) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Digital Government Studies (RIA)
Use when
- You need official studies/analyses on state digital systems and governance.
- You need contextual evidence for operational-government assessments.
Avoid when
- You need transactional system data instead of analytical publications.
Inputs
- Topic keywords and date range.
Outputs
- Publication index with metadata and links.
Primary endpoint
- Studies/analyses page: https://www.ria.ee/en/authority-news-and-contact/news-media-contact/studies-analyses-overviews
Workflow
- Collect study/overview entries by topic/date.
- Extract titles, dates, and downloadable links.
- Tag each entry by domain (cyber, services, infrastructure, etc.).
- Return structured publication table.
Human setup (when needed)
- If files are embedded behind UI components, guide user through download steps and continue from local files.
Quality checks
- Keep publication date and source institution.
- Avoid mixing RIA studies with unrelated news posts.
Access reality
- Public access type: UI page with direct downloadable files.
- Verification run: 2026-02-24.
- https://www.ria.ee/en/authority-news-and-contact/news-media-contact/studies-analyses-overviews (HTTP 200, text/html;, file links detected: 1)
Request contract
- Use the listed primary endpoints as authoritative entry points.
- If API/query parameters are only visible in-browser, preserve exact request URL, params, and headers in output metadata.
- If endpoint is UI-only, document click path and extraction method used.
Output schema expectations
- Keep at least: source URL, retrieval timestamp, publication/update date (if available), title/record label, and extracted governance-relevant fields.
- Preserve original field names when present in downloadable/API output.
Limits and caveats
- Confirm whether data is open-download, UI-only, or authenticated before claiming full access.
- Separate narrative/guidance text from measurable records.
Verification hooks
- Validate endpoint reachability and content type before extraction.
- Validate that each extracted claim is linked to a concrete source URL.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: taivop
- Source: taivop/marketplace
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.