feat(skill): add "Setting the narrative?" lens for company/product topics

Comparison tables gain a narrative axis judging whether each entity's
community conversation is about what the entity pitches or about
something else (pricing, rivals, an incident). Backed by a new
mandatory Step 0.55 research item that fetches each entity's CURRENT
first-party positioning (RESOLVED_POSITIONING) instead of relying on
memory, and a narrative-check synthesis beat for single-entity company
runs. The mismatch is the signal: companies usually don't control
their own conversation.

skills/last30days/scripts/lib/render.py

@@ -531,9 +531,12 @@ def _render_comparison_scaffold(topic: str) -> list[str]:
     Returns empty list if topic is not a comparison query. When present,
     the block is bracketed so the synthesizer can detect it and pass through.
 
-    Axes match the April 9 launch-video exemplar (9 axes suited to AI-tool
-    comparisons). For non-AI-tool comparisons, the synthesizer writes N/A
-    or topic-appropriate substitutes in irrelevant rows.
+    Axes are the 9 from the April 9 launch-video exemplar (suited to AI-tool
+    comparisons) plus "Setting the narrative?", which asks whether each entity's
+    community conversation is about what the entity itself pitches, or about
+    something else (pricing, rivals, incidents). For comparisons where an axis
+    does not apply, the synthesizer writes N/A or a topic-appropriate substitute
+    in that row.
     """
     entities = _parse_comparison_entities(topic)
     if not entities:
@@ -543,10 +546,11 @@ def _render_comparison_scaffold(topic: str) -> list[str]:
     header = "| Dimension | " + " | ".join(entities) + " |"
     # Separator row matching column count
     separator = "|" + "|".join(["---"] * (len(entities) + 1)) + "|"
-    # 9 axes from the April 9 exemplar. Model fills with topic-appropriate
-    # content; irrelevant axes get "N/A" rather than invented data.
+    # 9 axes from the April 9 exemplar plus "Setting the narrative?" (pitch vs.
+    # what the community actually talks about). See the function docstring.
     axes = [
         "What it is",
+        "Setting the narrative?",
         "GitHub stars",
         "Philosophy",
         "Skills",
@@ -558,10 +562,23 @@ def _render_comparison_scaffold(topic: str) -> list[str]:
     ]
     body = [f"| {axis} | " + " | ".join([" "] * len(entities)) + " |" for axis in axes]
 
+    # Generic fill rules plus guidance for "Setting the narrative?" - the one
+    # axis that needs a judgement, not a lookup.
+    fill_instructions = (
+        "Fill each cell based on the research above. Keep cells short (5-15 words). "
+        "Use ' - ' (hyphen with spaces) not em-dashes. Write N/A for axes that do not apply to this topic class. "
+        "For the \"Setting the narrative?\" row, judge whether each entity's community conversation is about "
+        "what the entity itself pitches: start the cell with Yes / Partly / No / Unclear, then name the topic "
+        "the community is ACTUALLY on, anchored to a real item (e.g. \"No - pitches uptime, but the top thread "
+        "is friendly-fraud (323pt HN)\"). Use Unclear when evidence is thin or polluted with unrelated "
+        "brand-name matches; do NOT infer a verdict from vibes. Write N/A for entities with no public pitch "
+        "(people, abstract concepts). This scaffold matches the April 9 launch-video exemplar shape."
+    )
+
     return [
         "## Head-to-Head",
         "",
-        "Fill each cell based on the research above. Keep cells short (5-15 words). Use ' - ' (hyphen with spaces) not em-dashes. Write N/A for axes that do not apply to this topic class. This scaffold matches the April 9 launch-video exemplar shape.",
+        fill_instructions,
         "",
         header,
         separator,