* docs(resilience): PR 4a — SWF classification rubric (tiers + precedents, no manifest changes)
PR 4a of cohort-audit plan 2026-04-24-002. First half of the plan's PR 4
(full-manifest re-rate) split into:
- PR 4a (this): pure documentation — central rubric defining tiers
+ concrete precedents per axis. No manifest changes.
- PR 4b (deferred): apply the rubric to revise specific coefficients
in `scripts/shared/swf-classification-manifest.yaml`. Behaviour-
changing; belongs in a separate PR with cohort snapshots and
methodology review.
This split addresses the plan's concern that PR 4 "may not be outcome-
predetermined" by separating the evaluative framework from its
application. PR 4a makes every current manifest value evaluable against
a benchmark; PR 4b applies the benchmark.
Shipped
- `docs/methodology/swf-classification-rubric.md` — new doc.
Sections:
1. Introduction + scope (rubric vs manifest boundary)
2. Access axis: 5 named tiers (0.1, 0.3, 0.5, 0.7, 0.9) w/
concrete precedents per tier, plus edge cases for
fiscal-rule caps (Norway GPFG) and state holding
companies (Temasek)
3. Liquidity axis: 6 tiers (0.1, 0.3, 0.5, 0.7, 0.9, 1.0) w/
precedents + listed-vs-directly-owned real-estate edge case
4. Transparency axis: 6 tiers grounded in LM Transparency
Index + IFSWF membership + annual-report granularity, plus
edge cases for LM=10 w/o holdings-level disclosure and
sealed filings (KIA)
5. Current manifest × rubric alignment — 24 coefficients reviewed;
6 flagged as "arguably higher/lower under the rubric" with
directional-impact analysis marked INFORMATIONAL, not
motivation for revision
6. How-to-use playbook for manifest-edit PRs (add/revise/rubric-
revise workflows)
Findings (informational only — no PR changes)
Six ratings flagged as potentially under-/over-stated against the
rubric. Per the plan's anti-pattern note (rank-targeted acceptance
criteria), the flags are INFORMATIONAL: a future manifest-edit PR
should revise only when the rubric + cited evidence support the
change, not to hit a target ranking.
Flagged (with directional impact if revised upward):
- Mubadala access 0.4 → arguably 0.5; transparency 0.6 → 0.7
(haircut 0.12 → 0.175, +46% access × transparency product)
- PIF access 0.4 → arguably 0.5; liquidity 0.4 → arguably 0.3
(net small effect — opposite directions partially cancel)
- KIA transparency 0.4 → arguably 0.5 (haircut +25%)
- QIA access 0.4 → arguably 0.5; transparency 0.4 → arguably 0.5
(haircut +56%)
- GIC access 0.6 → arguably 0.7 (haircut +17%)
Not flagged: GPFG, ADIA, Temasek (all 9 coefficients align with
their rubric tiers).
Verified
- `npm run test:data` — 6694 pass / 0 fail (unchanged — pure docs PR)
- `npm run typecheck` / `typecheck:api` — green
- `npm run lint:md` — clean
Not in this PR
- Manifest coefficient changes (PR 4b)
- Cohort-sanity snapshot before/after (PR 4b)
- Live-data audit of IFSWF engagement + LM index current values
(requires web fetch — not in scope for a doc PR)
* fix(resilience): PR 4a review — resolve GIC/ADIA rubric contradictions + flag-count
Addresses P1 + 2 P2 Greptile findings on #3376 (draft).
1. **P1 — GIC tier contradiction.** GIC was listed as a canonical 0.7
("Explicit stabilization with rule") precedent AND rated 0.6 in
the alignment table with an "arguably 0.7" note. That inconsistency
makes the rubric unusable as-is for PR 4b review. Removed GIC from
the 0.7 precedent list and explicitly marked it as a 0.7 *candidate*
(pending PR 4b evaluation), not a 0.7 *precedent*. KIA General
Reserve Fund stays as the canonical 0.7 example; Norway GPFG
remains the borderline case for fiscal-rule caps.
2. **P2 — ADIA liquidity midpoint inconsistency.** Methodology text
said the rubric uses "midpoint" for ranged disclosures and cited
ADIA 55-70% → 0.7 tier. But midpoint(55-70) = 62.5%, which sits
in the 0.5 tier band (50-65%). Fixed the methodology to state the
rubric uses the **upper-bound** of a disclosed range (fund's own
statement of maximum public-market allocation), which keeps ADIA
at 0.7 tier (70% upper bound fits 65-85% band). Added forward-
compatibility note: if future ADIA disclosures tighten the range
so the upper bound drops below 65%, the rubric directs the rating
to 0.5.
3. **P2 — Flag-count header.** "(6 of 24 coefficients)" was wrong;
the enumeration below lists 8 coefficients across 5 funds.
Corrected to "8 coefficients across 5 funds" with the fund-by-fund
count inline so the header math is self-verifying.
Verified
- `npm run lint:md` — clean
- `npm run typecheck` — green (pure docs PR, no behaviour change)
This PR remains in draft pending #3380 (PR 3A — net-imports denominator)
merge per the plan's PR 4 → after PR 3A sequencing.
World Monitor
Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.
Documentation · Releases · Contributing
What It Does
- 500+ curated news feeds across 15 categories, AI-synthesized into briefs
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- Cross-stream correlation — military, economic, disaster, and escalation signal convergence
- Country Intelligence Index — composite risk scoring across 12 signal categories
- Finance radar — 92 stock exchanges, commodities, crypto, and 7-signal market composite
- Local AI — run everything with Ollama, no API keys required
- 5 site variants from a single codebase (world, tech, finance, commodity, happy)
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For the full feature list, architecture, data sources, and algorithms, see the documentation.
Quick Start
git clone https://github.com/koala73/worldmonitor.git
cd worldmonitor
npm install
npm run dev
Open localhost:5173. No environment variables required for basic operation.
For variant-specific development:
npm run dev:tech # tech.worldmonitor.app
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See the self-hosting guide for deployment options (Vercel, Docker, static).
Tech Stack
| Category | Technologies |
|---|---|
| Frontend | Vanilla TypeScript, Vite, globe.gl + Three.js, deck.gl + MapLibre GL |
| Desktop | Tauri 2 (Rust) with Node.js sidecar |
| AI/ML | Ollama / Groq / OpenRouter, Transformers.js (browser-side) |
| API Contracts | Protocol Buffers (92 protos, 22 services), sebuf HTTP annotations |
| Deployment | Vercel Edge Functions (60+), Railway relay, Tauri, PWA |
| Caching | Redis (Upstash), 3-tier cache, CDN, service worker |
Full stack details in the architecture docs.
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Contributing
Contributions welcome! See CONTRIBUTING.md for guidelines.
npm run typecheck # Type checking
npm run build:full # Production build
License
AGPL-3.0 for non-commercial use. Commercial license required for any commercial use.
| Use Case | Allowed? |
|---|---|
| Personal / research / educational | Yes |
| Self-hosted (non-commercial) | Yes, with attribution |
| Fork and modify (non-commercial) | Yes, share source under AGPL-3.0 |
| Commercial use / SaaS / rebranding | Requires commercial license |
See LICENSE for full terms. For commercial licensing, contact the maintainer.
Copyright (C) 2024-2026 Elie Habib. All rights reserved.
Author
Elie Habib — GitHub
Contributors
Security Acknowledgments
We thank the following researchers for responsibly disclosing security issues:
- Cody Richard — Disclosed three security findings covering IPC command exposure, renderer-to-sidecar trust boundary analysis, and fetch patch credential injection architecture (2026)
See our Security Policy for responsible disclosure guidelines.
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