Update to Sovrano

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README.md →

plugin.json →

skills/sovrano-companion/SKILL.md →

skills/sovrano-companion/evidence-research.md →

skills/sovrano-companion/governance-decisions.md →

skills/sovrano-companion/phase-workflow.md →

skills/sovrano-companion/team-workspaces.md →

skills/sovrano-setup/SKILL.md →

skills/sovrano-sponsorship-analysis/SKILL.md →

skills/sovrano-sponsorship-analysis/answer-guidance.md →

skills/sovrano-sponsorship-analysis/attention-reference.md →

skills/sovrano-sponsorship-analysis/calculator-inputs.md →

skills/sovrano-sponsorship-analysis/database-workflows.md →

skills/sovrano-sponsorship-analysis/proposal-workflow.md →

plugin.json

− removed · + added

--- before
+++ after
@@ -1,8 +1,8 @@
 {
   "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
   "name": "sovrano-openai",
-  "version": "1.0.14",
-  "description": "Sponsorship intelligence, inside your AI. Ask about budgets, sponsor prospects, proposals and packages, and get answers grounded in Sovrano's sponsorship database and valuation calculator.",
+  "version": "1.1.6",
+  "description": "Shared sponsorship decisions, inside your AI. Guide a team through Frame, Evaluate, Prepare and Review with governed evidence, research, valuation and exact human approvals in one workspace.",
   "author": {
     "name": "Sovrano",
     "email": "hello@sovrano.global",
@@ -21,8 +21,8 @@
     "com.openai": {
       "interface": {
         "displayName": "Sovrano",
-        "shortDescription": "Sponsorship intelligence",
-        "longDescription": "Sponsorship intelligence, inside your AI. Sovrano turns a sponsorship question into a grounded answer: an estimated budget, a shortlist of sponsors or properties, a verdict on a proposal, or a stronger package. Your AI combines Sovrano's database of recorded sponsorship relationships, stored price estimates and documented packages with its own research and commercial judgment, and keeps Sovrano's findings separate from public sources and assumptions.\n\nWhat you can do: estimate what a sponsorship should cost before you negotiate; assess an offer right by right and see which assumptions drive its value; find the brand categories and sponsors that back properties like yours and explain the fit; map a market or a competitor's partnerships before entering it; compare packages within a budget; and ask where a number came from and get a precise answer.\n\nWho it is for: brands and their agencies planning or renewing sponsorships, and rights holders pricing and packaging what they sell.\n\nGood to know: estimates, modelled values, disclosed fees and sourced facts are each labelled and read together as one decision. Recorded relationships are history; your AI confirms availability and current buying interest with research. The plugin reads and calculates. Contacting sponsors, sending messages, publishing, accepting offers, making payments and changing records stay with you, and the analysis is commercial rather than legal advice. You sign in once in your browser with an email code. The plugin connects to a single Sovrano endpoint over HTTPS and sends only the details needed to answer each request.",
+        "shortDescription": "Shared sponsorship decisions",
+        "longDescription": "Shared sponsorship decisions, inside your AI. Sovrano gives a brand, event, rights holder or agency one governed workspace for the same sponsorship situation. The team moves through Frame, Evaluate, Prepare and Review with a clear current phase, blocker and next action.\n\nFrame defines the decision and its constraints. Evaluate combines Sovrano's recorded relationship and price evidence, transparent valuation and public research saved for safe reuse in the same workspace. Prepare turns current evidence into a recommendation, package, budget, shortlist or negotiation position. Review records the actual outcome and approved lessons without inventing performance.\n\nAgent-provided public sponsorship relationship signals can enter the existing Sovrano signal database with companion-agent provenance and pending-review status. Private workspace, situation, member, document, rationale and decision data stay in the workspace.\n\nSovrano preserves source labels, immutable history, team roles and exact decision boundaries. The agent researches, interprets and drafts. People control phase confirmation, approvals, outreach, publication, commitments, transactions and optional sanitized outcome contribution. Normal users sign in with an email code in the browser. The plugin connects to one Sovrano endpoint over HTTPS and sends only the bounded details needed for the selected work.",
         "developerName": "Sovrano",
         "category": "Business & Operations",
         "capabilities": [],
@@ -34,45 +34,45 @@
         "composerIcon": "./assets/sovrano-symbol.png",
         "logo": "./assets/sovrano-symbol.png",
         "logoDark": "./assets/sovrano-symbol.png",
-        "screenshots": [],
         "defaultPrompt": [
-          "We're a Swiss insurance brand entering German football. Which sponsorships fit us, and roughly what would they cost?",
-          "Here is a sponsorship proposal for our festival. What is each right worth, and how do we make the package stronger?",
-          "A club offers us a sleeve deal at 2 million a year. Is that in line with comparable deals, and what should we negotiate?"
+          "Start a shared evaluation of this sponsorship proposal and guide us through the current phase.",
+          "Research this sponsorship situation, save the evidence for our team and show what needs a decision.",
+          "Review this package and fee, prepare a negotiation position and keep every assumption labelled."
         ]
       },
+      "onboardingSkill": "./skills/sovrano-setup/SKILL.md",
       "review": {
         "test_cases": {
           "positive": [
             {
-              "description": "Confirm that the signed-in Sovrano connection and its capabilities are available.",
-              "prompt": "Check whether my Sovrano connection is working.",
-              "tools_triggered": "check_sovrano_connection",
-              "expected_behavior": "Confirms the sign-in and reports whether the sponsorship database and the calculator are enabled."
+              "description": "Orient a signed-in user without repeating a product tour.",
+              "prompt": "Continue my sponsorship work and show the exact workspace, role and current priority.",
+              "tools_triggered": "get_sovrano_profile",
+              "expected_behavior": "Returns the selected workspace or asks for an explicit choice, shows role and decision rights, and follows the server-supplied onboarding and attention guidance."
             },
             {
-              "description": "Resolve a major international event to its canonical database property before analysis.",
-              "prompt": "Find the canonical Sovrano property entry for the FIFA World Cup before I assess it.",
-              "tools_triggered": "resolve_sovrano_entity",
-              "expected_behavior": "Returns matching canonical property names, aliases, context and any ambiguity needed to build a valid analysis request."
+              "description": "Start one shared sponsorship situation with a bounded Frame draft.",
+              "prompt": "Create a shared situation for our event's title-sponsor renewal. We are selling the rights and want to protect price while improving delivery certainty.",
+              "tools_triggered": "start_sponsorship_situation",
+              "expected_behavior": "Creates a draft only after approval, preserves the initial Frame revision and returns authoritative phase guidance without claiming confirmation."
             },
             {
-              "description": "Assess the global motorsport sponsorship market from recorded evidence and finish with a recommendation.",
-              "prompt": "Assess the global motorsport sponsorship landscape for a technology or mobility brand. Identify recurring sponsor categories, documented relationship patterns, relevant properties and deal-value coverage, and recommend where to investigate first.",
+              "description": "Evaluate a sponsorship market through its focused Companion analysis tool.",
+              "prompt": "Assess the motorsport sponsorship landscape for a mobility brand, keep each evidence type labelled and recommend where our team should investigate first.",
               "tools_triggered": "map_sponsorship_market",
-              "expected_behavior": "Returns the applied cohort, sponsorship patterns and examples, coverage and source context, and leads with a decision-useful recommendation; current availability is confirmed separately."
+              "expected_behavior": "Runs the market landscape operation, returns the applied cohort, evidence scope and recommendation, and does not infer phase advancement from the result."
             },
             {
-              "description": "Assess the international music-event sponsorship market from recorded evidence and finish with a recommendation.",
-              "prompt": "Assess the global music-event sponsorship landscape for an international consumer brand. Identify recurring sponsor categories, documented relationship patterns, relevant festivals and properties and deal-value coverage, and recommend where to investigate first.",
-              "tools_triggered": "map_sponsorship_market",
-              "expected_behavior": "Returns the applied music-event cohort, sponsorship patterns, relevant properties, relationship and price coverage and evidence scope, and leads with a decision-useful recommendation; current availability is confirmed separately."
+              "description": "Value a proposed rights package with transparent assumptions.",
+              "prompt": "Value a hypothetical hospitality package with 20 VIP passes and 6 branded social posts. Show the scenarios, assumptions and unvalued rights separately.",
+              "tools_triggered": "value_sponsorship_package",
+              "expected_behavior": "Returns labelled scenarios and assumptions, keeps cost and modelled value distinct and does not finalize a package or commercial decision."
             },
             {
-              "description": "Model a hypothetical global-event package with explicit rights and scenario assumptions.",
-              "prompt": "Model a hypothetical Formula 1 hospitality activation package with 20 VIP passes and 6 branded social posts using Sovrano's preset scenario assumptions. Show conservative, moderate and aggressive values and every assumption that drives them.",
-              "tools_triggered": "model_sponsorship_package_from_presets",
-              "expected_behavior": "Returns clearly labelled scenario values, assumptions and unvalued items, compares them with any supplied fee, and presents the result as a value indicator alongside cost."
+              "description": "Reuse saved public research before starting another search.",
+              "prompt": "Find the evidence our team already saved about this sponsor and tell me whether it applies to the current situation.",
+              "tools_triggered": "search_sponsorship_research",
+              "expected_behavior": "Searches only the selected workspace, preserves source, freshness and conflict labels and requires an item-level applicability assessment before material reuse."
             }
           ],
           "negative": [
@@ -96,7 +96,7 @@
         "demo_recording_url": "https://sovrano.global/review/sovrano-openai-demo.mp4"
       },
       "publication": {
-        "release_notes": "1.0.14: restores fresh remote connections after an optional OAuth client-metadata field was removed, and ships a clean provider-neutral connector configuration."
+        "release_notes": "1.1.6: leads with one commercial verdict, keeps routine evidence gathering out of cards, adds one labelled decision-summary card and preserves separate human-review previews and decision receipts."
       },
       "apps": "./.app.json"
     }