Public-safe documentary index

README.md

Project-AI README (master) frames the repository as "The United Sovereign Stack," integrating a "Trinity of Sovereignty" — Cerberus Ω (governance intelligence), Thirsty-Lang/TARL (immutable policy layer), and the Project-AI Monolith (execution environment) — under one signed constitution. This portal treats the README's civilizational/mythic framing as narrative vision, not a verified operational claim. A separate `github_release_branch` (not yet merged to master) additionally describes a v0.0.3 offline-first Windows release with signed-installer verification; that content is not yet part of the default branch this portal cites.

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README.md

Thirsty-Lang 0.9.0 is a governance-first Python language family. The pinned release documents priority corrections and general-purpose foundations: enums, structs, dictionaries and tuple/bytes helpers. prepare_context() normalizes equivalent dotted, nested and mixed inputs into canonical nested JSON; conflicts fail closed. Durable audit persistence requires an attached archive and explicit required-audit configuration. The UTF 101 manual integrates all seven CLIs and source/test references. Robotics and swarms remain deferred.

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docs/STATUS.md

The 0.9.0 status document maps implementation and deferred work to tests and DEVELOPMENT_PLAN.md. Its Bootstrap Competence Register preserves critical FAIL entries for context coherence and resolution integrity. Repairs shipped in 0.8.6 and remain pending independent acceptance; publication does not clear positive-authority restrictions. Optional Z3 checks require the analysis extra. This portal summarizes the source and does not independently accept the upstream runtime.

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docs/THREAT_MODEL.md

The 0.9.0 threat model covers policy, authority, proof, audit and effect boundaries. Equivalent dotted/nested/mixed JSON is normalized; conflicting or malformed context fails closed. Strict verifier configuration, live credential checks and explicit durable-audit settings matter. Capability mediation is not proof of complete OS isolation. Remote-package integrity, external egress and build-tool boundaries remain documented limitations. Historical context-repair acceptance remains pending.

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pyproject.toml

Pinned Python release metadata declares thirsty-lang 0.9.0, Python >=3.11, Apache-2.0 and Development Status :: 3 - Alpha. Seven entry points: thirsty, thirst-of-gods, tarl, tarl-lsp, shadow-thirst, tscg and tscg-b. PyPI independently confirms publication on 2026-09-06. GitHub default master still points to the older 0.8.6 lineage.

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README.md

TAAR README defines a local-first governed taskforce with reader/writer separation, append-only audit spine, classification model, workflow guardian, and report-only first swarm boundaries.

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pyproject.toml

pyproject.toml declares package `taar-agent-taskforce` version 0.1.0 with Alpha development status.

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README.md

Cerberus README describes a guardian/hub security framework with four guardian types, input validation surfaces, and documented coverage/testing claims.

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pyproject.toml

pyproject.toml declares package `cerberus-guard-bot` version 0.1.0 with Development Status classifier `2 - Pre-Alpha`.

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README.md

Thirstys-waterfall README states Standard v3 in-progress acceptance, privacy-first scope, and explicit caution that full deployment claims remain gated by acceptance matrix evidence.

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docs/operations/README_CLAIM_ACCEPTANCE.md

README_CLAIM_ACCEPTANCE.md marks status as in progress, cites local deployment verification evidence, and lists unresolved external deployment, TLS boundary, backend, and platform evidence requirements.

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pyproject.toml

pyproject.toml declares package `thirstys-waterfall` version 1.0.3 with Beta development status.

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README.md

Thirsty Skill Library README describes a governed, composable library of 79 specialist skills for Thirstys Workshop (ChatGPT Skills format). Every skill shares one constitutional baseline — provenance, uncertainty, reversibility, approval, and handoff rules — injected from shared/ at build time, and ships as a self-contained skill.zip. CI (validate.ps1, check-evals.ps1, build.ps1) runs on every push and PR.

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CATALOG.json

CATALOG.json is the machine-readable index of every skill's identity, objective, outputs, group, class, version, maturity, and validation record. Maturity runs UNASSESSED to DRAFT to EXPERIMENTAL to REVIEWED to VALIDATED to STABLE; STABLE additionally requires evidence of real use. Maturity may not claim more than the recorded structural checks, evaluations, and review actually show.

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README.md

README describes DICPS as a privacy-preserving attribute-verification service using zero-knowledge proofs (age, license, or clearance checks without revealing underlying data). The repo ships extensive architecture and security documentation — threat model, security-proof notes, audit-chain design — alongside a TypeScript implementation, but those proofs are the maintainer's own write-up and were not independently re-verified by this portal.

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package.json

package.json declares `digital-identity-capability-proof-service` version 1.0.0, MIT licensed, with snarkjs/circomlib/circomlibjs as core zero-knowledge dependencies and a Jest test script.

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README.md

README frames Civic Attest as cryptographic infrastructure for origin authenticity and public transparency (Ed25519 signatures, Merkle-tree public ledger, RFC 3161 timestamps) aimed at government and public-institution use. It explicitly lists non-guarantees: it does not validate truthfulness, intent, or coercion, and claims neutrality only for the system itself, not its usage.

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go.mod

go.mod declares module `github.com/IAmSoThirsty/civic-attest` targeting Go 1.21, with cbor, blake3, and golang.org/x/crypto as direct dependencies.

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README.md

README describes the Genesis Microservices Generator as a 15-component infrastructure scaffolding tool that emits Terraform, Kubernetes, RBAC, Vault policy, Prometheus alerts, and a 5-gate CI/CD pipeline from a service spec, replacing an earlier template-based generator.

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README.md

README describes the Energetic Epicenter Detector as a computer-vision tool that triangulates the origin point of energetic events (impacts, explosions, shockwaves) in video by computing divergence, curl, and strain tensors from Farneback optical flow, distinguishing a true energetic source from ordinary motion.

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README.md

README presents the Mental Health Escalation Router as a crisis-detection and routing system with a 4-layer security pipeline, sub-second inference, and mandatory human-in-the-loop review for critical cases — it explicitly states it is never autonomous for critical escalations. The repo's own status badge marks it "Development", not production.

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pyproject.toml

pyproject.toml declares package `mental-health-escalation-router` version 0.1.0, MIT licensed, author Jeremy Karrick, with numpy/pydantic as runtime dependencies and pytest/mypy/black in the dev extras.

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README.md

README describes OAKD as a knowledge-extraction engine that turns research papers into structured, provenance-tracked knowledge graphs, citing deterministic processing, hash-chain provenance, and GDPR-oriented compliance controls for policy and scientific-evidence use cases.

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README.md

README presents Codex-workflow ("Thirty's Monolith / Schematic Guardian") as a GitHub Action that patrols a repository on every push: enforces a fixed src/.github folder layout, requires a matching test file per code file, standardizes commits to Conventional Commits, and auto-corrects formatting.

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pyproject.toml

pyproject.toml declares package `codex-workflow` version 1.0.0, MIT licensed, Beta development status, exposing a `codex-guardian` console script and a pytest/bandit/mypy dev toolchain.

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README.md

README describes the Global Incident Early Warning Aggregator as a multi-source telemetry pipeline (seismic, epidemiological, climate, satellite) that normalizes signals and runs an ensemble of statistical anomaly detectors — Z-score, IQR, moving average, rate-of-change — to emit confidence-scored alerts.

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README.md

README describes TS4-IIMP-001 as an adopted standard under Thirsty's Codex / Standards V4+ defining an evidence-governed pathway AI systems must follow before assigning emotional, motive, or safety significance to forceful or intense communication. It ships Python and TypeScript reference engines plus an executable conformance suite.

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CHANGELOG.md

CHANGELOG records the normative standard reaching version 1.1.0 on 2026-08-04 (nine-stage deliberation pathway, six-criterion conformance model, reference Python engine), followed same-day by a 1.1.0-repository.1 packaging release that added real Draft 2020-12 JSON Schema validation and a live CI conformance badge, replacing a prior syntax-only check.

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README.md

Status: experimental prototype — not production-ready. A Flask simulation of a spatial office metaphor for software work: typed entities, an optional HMAC-tagged audit JSONL, language floors, a template-based code-generation pipeline, a jailed workspace / no-shell terminal API, a browser editor, and a small PWA shell. Reports code pin fdd9762. Independent pytest: 1,573 passed, 1 skipped. Coverage 7,494 / 7,749 (96.71%). Score 9 hold / 6 partial / 1 inflated / 3 false of 19. Production ready remains false.

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LIMITATIONS.md

Status: experimental prototype. World state is in-memory. IDE API is open unless MO_IDE_TOKEN is set. Python generation is an identity transform (result = data); non-Python tests are not executed. 28 toy floor directories. No WebXR. Audit HMAC is optional. Docker is a compose healthcheck, not a hardened stack (in-memory world, chmod 777 in CD). Fresh pytest --cov=src is 7,494 / 7,749 imported statements (96.71%). Do not treat IMPLEMENTATION_COMPLETE or PRODUCTION_READY.md as status.

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packages/taar/README.md

Project-AI integrates TAAR as a report-only agent runner. The package produces hash-sealed evidence bundles, cites source evidence hashes, and keeps an append-only JSONL audit spine. The first swarm cannot merge, push, deploy, delete, or mutate inspected repository state. This is the integrated Project-AI package at the pinned github_release_branch revision, not only the standalone TAAR repository.

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skills/CONTINUITY.md

Project-AI carries the standalone Thirstys Skills library under skills/. Its continuity record states that the 79-entry CATALOG.json was copied into the repository and checked one-to-one against the vendored skill directories, with no missing or extra entries. The skills tree is therefore part of the integrated Project-AI source surface while remaining independently packaged for adoption.

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docs/security.md

Project-AI security documentation describes HMAC-SHA256-authenticated tokens, hash-linked tamper-evident chains, and bounded security and API controls. The integrated implementation uses standard-library primitives such as secrets, hashlib, hmac, pathlib, json, re, and subprocess alongside focused security packages, with tests and verification tools exposing the security boundary for inspection and reproduction.

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