Show HN: Agenda Intel MD – schemas and CLI to audit LLM strategic-risk briefs
Agenda Intelligence MD is an open-source toolkit designed to audit and validate the structure of AI-generated strategic-risk briefs, ensuring they meet rigorous evidence and reasoning standards. It provides a protocol, JSON schemas, CLI tools, and an MCP server to help AI agents produce auditable, evidence-backed outputs rather than plausible-sounding summaries. The toolkit targets engineers building policy, geopolitical risk, and regulatory intelligence agents that must withstand analyst review.
- ▪Agenda Intelligence MD includes a markdown protocol, JSON schemas, CLI tools, and an MCP server for validating and scoring strategic-risk briefs.
- ▪It ensures AI outputs are structurally sound, evidence-labeled, and decision-focused, but does not verify factual accuracy.
- ▪The toolkit supports domains like sanctions, export controls, and regional analysis in Central Asia, the Gulf, and the Middle East.
- ▪It comes with a benchmark set of five cases, including the EU AI Act and Red Sea shipping, achieving 100% schema validity and evidence packing.
- ▪Agenda Intelligence MD is not a factuality checker, source retriever, or autonomous news agent, and does not replace human analyst judgment.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,366 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/vassiliylakhonin/agenda-intelligence-md |
| Publication time | Sat, 16 May 2026 15:12:02 +0000 |
| Retrieval time | 2026-05-16T15:15:18.844Z |
| Last seen | 2026-05-16T15:15:18.844Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | oiY8nJXzNQQs |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Agenda Intelligence MD CI / MCP / EVIDENCE-AUDIT LAYER FOR STRATEGIC INTELLIGENCE AGENTS — protocol, JSON schemas, CLI and MCP server for validating, scoring and auditing the structure of strategic-risk agent output. The evidence-discipline surface for markdown-first reasoning skills (Global Think Tank Analyst, Central Asia + Caspian, Gulf + Middle East). Open-source. Evidence & eval layer for strategic intelligence agents. A protocol, JSON-schema set, CLI, and MCP-compatible toolkit that helps AI agents move from unsupported summaries to auditable strategic-risk briefs: what changed why it matters what is evidence-backed what is uncertain who gains or loses leverage what scenarios are plausible what to watch next It is built for engineers shipping policy, sanctions, regulation,…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.