Fix remaining critical, high, and medium issues from 4-perspective review

Critical fixes:
- Fix rating clamp range 1-10 → 1-5 (actual scale)
- Add `ietf ideas convergence` command (SequenceMatcher at 0.75 threshold)
- Fix "628 cross-org ideas" → 130 (verified from current DB) across 8 files

Security fixes:
- Sanitize FTS5 query input (strip special chars + boolean operators)
- Add rate limiting (10 req/min/IP) on Claude-calling endpoints
- Change <path:name> → <string:name> on draft routes

Codebase fixes:
- Add Database context manager (__enter__/__exit__)
- Wire false_positive filtering into queries (exclude by default in web UI)
- Fix Post 3 arithmetic ("~300" → "~409" distinct proposals)

Content & licensing:
- Add MIT LICENSE file
- Add IPR/FRAND notes (BCP 79, RFC 8179) to Posts 03 and 07
- Qualify "4:1 safety ratio" with monthly variation in 6 remaining files
- Add "Data as of March 2026" freeze-date headers to all 10 blog posts
- Hedge causal language in Post 04

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

data/reports/blog-series/05-1262-ideas.md

@@ -2,13 +2,15 @@
 
 *The fragmentation goes deeper than competing protocols. It extends all the way down to the idea level.*
 
+*Analysis based on IETF Datatracker data collected through March 2026. Counts and statistics reflect this snapshot.*
+
 ---
 
 We extracted technical components from 434 Internet-Drafts -- mechanisms, architectures, protocols, and patterns. Then we asked: how many of these ideas does anyone else also propose?
 
 The current database contains **419 extracted ideas** across 377 drafts. An earlier pipeline run (using different extraction parameters and batch settings) produced roughly 1,780 ideas from 361 drafts; the current figures reflect a subsequent re-extraction that produced fewer, more consolidated ideas. The exact count depends on the extraction prompt, batching strategy, and deduplication threshold -- a limitation worth acknowledging. What is robust across both runs is the *pattern*: the vast majority of extracted ideas appear in exactly one draft. Only a handful show cross-draft convergence by exact title matching. The fragmentation documented in the previous posts -- 14 competing OAuth proposals, 155 A2A protocols with no interop layer -- is not just a protocol-level problem. It extends all the way down. At the idea level, the landscape is overwhelmingly a collection of islands.
 
-But islands are not the whole story. Using fuzzy matching across organizational boundaries, we found **628 ideas** where different organizations are working on recognizably similar problems -- even when they use different names and different approaches. (This figure comes from the earlier, larger extraction run; a comparable analysis on the current data would yield a proportionally similar convergence rate.) These cross-org convergence signals are the embryonic consensus of the agent standards landscape: the problems that different teams, in different countries, with different agendas, independently recognize and attempt to solve.
+But islands are not the whole story. Using fuzzy matching (SequenceMatcher at 0.75 threshold) across organizational boundaries, we found **130 cross-org convergent ideas** where different organizations are working on recognizably similar problems -- even when they use different names and different approaches. (An earlier pipeline run with ~1,780 raw ideas produced 628 cross-org convergent ideas; the current, more consolidated extraction of 419 ideas yields 130 at the same threshold -- 36% of unique clusters, a comparable convergence rate.) These cross-org convergence signals are the embryonic consensus of the agent standards landscape: the problems that different teams, in different countries, with different agendas, independently recognize and attempt to solve.
 
 These convergence signals are more impressive than they first appear. Recall from Post 2 that **55% of all drafts have never been revised** beyond their first submission, and **65% of Huawei's drafts** are fire-and-forget. The ideas that converge across organizations are not the generic scaffolding of first-draft submissions -- they represent genuine engineering investment from teams that independently identified the same problem and committed resources to solving it.
 
@@ -37,7 +39,7 @@ The 95 architectures and 42 requirements suggest healthy standards development:
 
 ## Where Teams Converge
 
-By exact title, few ideas appear in multiple drafts. But ideas with different names often describe the same concept -- "Agent Gateway" in one draft and "Inter-Agent Communication Hub" in another. Our fuzzy-matching overlap analysis (using SequenceMatcher at 0.75 threshold across the earlier, larger extraction run) across organizational boundaries found **628 ideas** where 2+ distinct organizations are working on recognizably similar problems. These are the genuine consensus signals.
+By exact title, few ideas appear in multiple drafts. But ideas with different names often describe the same concept -- "Agent Gateway" in one draft and "Inter-Agent Communication Hub" in another. Our fuzzy-matching overlap analysis (using SequenceMatcher at 0.75 threshold) across organizational boundaries found **130 ideas** where 2+ distinct organizations are working on recognizably similar problems. These are the genuine consensus signals.
 
 | Idea | Orgs | Drafts | Key Organizations |
 |------|-----:|-------:|-------------------|
@@ -157,12 +159,12 @@ Three practical takeaways for anyone implementing agent systems:
 ### Key Takeaways
 
 - **The vast majority of ideas appear in exactly one draft** -- fragmentation extends all the way down to the idea level
-- **628 cross-org convergent ideas** (via fuzzy matching on an earlier extraction run) reveal where organizations independently agree; highest-overlap pairs are Chinese institutions (China Unicom-Huawei: 32 shared ideas)
+- **130 cross-org convergent ideas** (36% of unique clusters, via SequenceMatcher fuzzy matching at 0.75 threshold) reveal where organizations independently agree; highest-overlap pairs are Chinese institutions (China Unicom-Huawei: 32 shared ideas)
 - **The critical gaps remain unfilled**: rollback mechanisms, failure cascade prevention, and human override have minimal coverage across 434 drafts
 - **Five ideas to watch**: ECT (execution DAG), DAAP (accountability), STAMP (delegation proof), ADL (agent description), verifiable conversations (audit trail)
 - **Convergence clusters in three areas**: agent communication infrastructure, authentication/authorization, and network architecture
 
-*Next in this series: [Drawing the Big Picture](06-big-picture.md) -- 628 cross-org convergent ideas, 11 gaps, and the architectural vision that connects them.*
+*Next in this series: [Drawing the Big Picture](06-big-picture.md) -- 130 cross-org convergent ideas, 11 gaps, and the architectural vision that connects them.*
 
 ---