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Agenda Intel MD

v0.8.0 Feature

This release adds 5 notable features for engineering teams evaluating rollout.

Published 15d MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

a2a a2a-protocol agenda-intelligence agent-infrastructure agentic-workflow ai-agents
+14 more
cloudflare-workers deal-risk-gate decision-grade geopolitical-intelligence geopolitical-risk json-schema mcp mcp-server model-context-protocol policy-analysis regulatory-compliance risk-analysis sanctions strategic-intelligence

Summary

AI summary

Updates Companion repositories, Unchanged, and Changed — Repository positioning across a mixed release.

Changes in this release

Breaking Medium

MCP tool count increased from 11 to 16, adding five new tools.

MCP tool count increased from 11 to 16, adding five new tools.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

Feature Medium

`analyze` tool validates request, routes geography, assembles system prompt, optionally calls Anthropic API and validates memo.

`analyze` tool validates request, routes geography, assembles system prompt, optionally calls Anthropic API and validates memo.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

Feature Medium

`validate_memo` tool checks memos against agenda-memo.schema.json.

`validate_memo` tool checks memos against agenda-memo.schema.json.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

Feature Medium

`list_signals` and `get_signal` provide read-only access to vendored Global Think Tank Analyst signal archive.

`list_signals` and `get_signal` provide read-only access to vendored Global Think Tank Analyst signal archive.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

Feature Medium

`deep_dive` tool reserved for v2, returns planned-status message directing callers to `analyze` with depth: scenario or red_team.

`deep_dive` tool reserved for v2, returns planned-status message directing callers to `analyze` with depth: scenario or red_team.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

Feature Medium

Added product request schema agenda-request.schema.json defining input contract fields.

Added product request schema agenda-request.schema.json defining input contract fields.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

Feature Medium

Added product memo schema agenda-memo.schema.json defining output contract fields.

Added product memo schema agenda-memo.schema.json defining output contract fields.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

Feature Medium

`product` block in agent-manifest.json declares request/response contract, tools, and live_source_retrieval: false flag.

`product` block in agent-manifest.json declares request/response contract, tools, and live_source_retrieval: false flag.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

Feature Medium

Vendored signal archive under data/signals/ with sync script and tests for parity.

Vendored signal archive under data/signals/ with sync script and tests for parity.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

Feature Medium

New product-shell tests covering geography routing, memo validation, LLM invocation, and signal access.

New product-shell tests covering geography routing, memo validation, LLM invocation, and signal access.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

Feature Medium

Optional LLM dependency installed via `pip install agenda-intelligence-md[llm]` enabling Anthropic API calls when ANTHROPIC_API_KEY set.

Optional LLM dependency installed via `pip install agenda-intelligence-md[llm]` enabling Anthropic API calls when ANTHROPIC_API_KEY set.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: low

Deprecation Medium

Live source retrieval remains not implemented; evidence_mode restricted to reasoning_only, user_provided, mixed.

Live source retrieval remains not implemented; evidence_mode restricted to reasoning_only, user_provided, mixed.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: low

Refactor Medium

MCP.md documents five new tools with examples and updates tool count to 16.

MCP.md documents five new tools with examples and updates tool count to 16.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: high

Refactor Medium

README.md now frames repository as Agenda Intelligence product shell with updated product positioning.

README.md now frames repository as Agenda Intelligence product shell with updated product positioning.

Source: granite4.1:8b-q6_K@2026-05-20

Confidence: low

Full changelog

v0.8.0 — Agenda Intelligence product shell

v0.8.0 turns this repository into the entry point for the Agenda Intelligence product. Five new MCP tools wrap the existing validation surface with geography routing, system-prompt assembly from bundled reasoning method and regional references, optional direct LLM invocation, and a vendored snapshot of the Global Think Tank Analyst signal archive. The validation layer remains unchanged.

Added — Product-shell MCP tools

  • analyze — full pipeline: validates the request against agenda-request.schema.json, routes geography to the relevant in-repo regional / sector references (Central Asia + Caspian, Gulf + Middle East, sanctions), assembles a system prompt from the bundled SKILL.md and reference files, and — when ANTHROPIC_API_KEY is set and the optional anthropic SDK is installed — calls the Anthropic API and validates the returned memo against agenda-memo.schema.json. Without an API key, returns a skeleton memo plus the assembled system_prompt so a host model can complete the analysis.
  • validate_memo — schema check against agenda-memo.schema.json for memos produced outside the analyze pipeline.
  • list_signals / get_signal — read-only access to a vendored snapshot of the Global Think Tank Analyst signal archive under data/signals/.
  • deep_dive — reserved for v2; returns a planned-status message directing callers to analyze with depth: scenario or red_team.

MCP tool count: 11 → 16.

Added — Product request and memo schemas

  • schemas/agenda-request.schema.json — input contract: question, decision_context, audience, geography, time_horizon, evidence_mode, depth, output_format. Draft 2020-12, strict.
  • schemas/agenda-memo.schema.json — output contract: meta (incl. modules_used, gtta_version, timestamp), risk_summary (short / detailed), decision_frame, analysis (facts / assessments / assumptions / unknowns), scenarios with probability ranges, options, recommended_actions, failure_modes, watch_next, audit (validation_score, provenance). Both schemas include validated examples.
  • Schemas are exposed in agent-manifest.json under schemas (as agenda_request and agenda_memo) and via a new product block declaring the request/response contract, the five MCP tools, and the explicit live_source_retrieval: false flag.

Added — Vendored signal archive

  • scripts/sync_signals.py copies the Global Think Tank Analyst signals/ directory into src/agenda_intelligence/data/signals/, mirror of the schemas/data/schemas/ dual-copy pattern.
  • tests/test_signal_sync.py enforces parity when a local GTTA checkout is present and is skipped on CI without it.
  • Initial snapshot: 10 individual signals plus index.json, feed.json, latest.md, TEMPLATE.md, README.md.

Added — Optional LLM dependency

  • pip install agenda-intelligence-md[llm] installs anthropic>=0.40 so analyze can call the Anthropic API directly via ANTHROPIC_API_KEY. No new hard dependency.

Added — Product-shell tests

  • tests/test_product_shell.py — 10 integration tests covering geography routing (Kazakhstan → CA-Caspian, global → GTTA only, mixed Iran/UAE → Gulf+ME), validate_memo happy and negative paths, the LLM-invocation branch with mocked Anthropic responses (JSON and non-JSON), and signals + deep_dive coverage. Tests run without network or credentials.

Changed — Repository positioning

  • README.md leads with the product framing: Agenda Intelligence is a trusted geopolitical intelligence layer for agentic workflows. Auditable, structured, decision-grade risk memos with evidence discipline that generic LLMs lack. One MCP server. Structured input/output. Built-in validation. The "What this is" section now opens with the MCP product shell. The validator's hardcoded README tagline token has been updated to match.
  • MCP.md documents the five new tools with request/response examples and tool-count update (11 → 16).

Unchanged

  • Live source retrieval is not implemented. evidence_mode is restricted to reasoning_only, user_provided, and mixed.
  • The existing 11 validation tools (validate_brief, validate_evidence, audit_claims, get_protocol, list_lenses, get_lens, source_plan, list_source_categories, source_coverage, score_output, verify_quotes) keep their contracts.
  • No legal, compliance, financial, or security advice. No autonomous decision-making. No production-grade guarantees.

Companion repositories

Each companion README now names Agenda Intelligence and documents whether the skill activates automatically (regional specialists) or sits behind the analyze tool as the reasoning method (GTTA).

Upgrade notes

Existing CLI users see no behavioral changes. Existing MCP clients see five additional tools in tools/list. The wheel installs the new product layer without requiring the Anthropic SDK; install the [llm] extra and export ANTHROPIC_API_KEY to enable direct API calls from analyze.

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