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evidence-case-viewer

Live evidence case pipeline viewer with NVIS sentence markup and agent chat well. Shows gates firing, entity grounding, QRA evidence, and verdicts in real-time. Chat well connects to /subagent-service for human-agent course correction.

Quellinformationen

Repository
grahama1970/agent-stack-public
Letzte Quellaktivität
24. September 2026 um 15:51
Erkannte Sprache von SKILL.md
Englisch
Sterne
0
Forks
0

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
evidence-case-viewer
description
Live evidence case pipeline viewer with NVIS sentence markup and agent chat well. Shows gates firing, entity grounding, QRA evidence, and verdicts in real-time. Chat well connects to /subagent-service for human-agent course correction.
triggers
["evidence case viewer","show evidence pipeline","view evidence case","launch evidence viewer"]
provides
["evidence-visualization","pipeline-monitoring","human-agent-collaboration"]
composes
["create-evidence-case","scillm","extract-entities","memory","agentic-evals"]
disciplines
["compliance-security","ui-design-engineering"]
> STOP. READ THIS ENTIRE SKILL.MD BEFORE CALLING ANY ENDPOINT. # Evidence Case Viewer KDE/QML app (EmbryStyle) that shows the evidence case pipeline running live, with an agent chat well for real-time human course correction. ## Usage ```bash # Open viewer (tail mode — watches for pipeline events) ./run.sh # Open viewer and evaluate a question immediately ./run.sh -q "How does SV-AC-2 protect avionics bus from spoofing?" # Connect to a specific subagent container ./run.sh --subagent-url http://localhost:8621 # Headless: run pipeline, write NDJSON events only ./run.sh --emit-only "How does X23-MUSTARD protect avionics?" ``` ## Architecture ``` events.py NDJSON event emitter (pipeline wrapper) ↓ writes /tmp/evidence-case-events.jsonl ↑ tails bridge.py PySide6 QObject (signals + properties + chat client) ↓ binds ↕ SSE stream qml/EvidenceCaseViewer.qml /subagent-service :8620 [Pipeline Panels] POST /chat/stream [Agent Chat Well] GET /health ``` ## Panels - **Sentence Markup** — NVIS color-coded entity chips (RED/AMBER/YELLOW/GREEN) - **Pipeline Gates** — gates firing in sequence with pass/fail and reasons - **Evidence QRAs** — top QRA matches from /memory recall - **Verdict** — final verdict badge with grade and reason - **Agent Chat Well** — talk to the evidence case agent via /subagent-service ## Chat Well The chat well connects to a `/subagent-service` container (default `localhost:8620`). The agent receives full pipeline context (current question, entity markup, gate statuses, QRA results, verdict) with each message, so it can reason about the evidence case being built. Example interactions: - "Reject X23-MUSTARD — it's fabricated" - "Why did step_2_recall pass? The QRAs don't match the question." - "Override the verdict to not_satisfied" - "What's the closest real control to X23-MUSTARD?" Start a subagent before launching the viewer: ```bash /subagent-service run.sh start --port 8620 ``` ## NVIS Colors (MIL-STD-3009) | Color | Hex | Meaning | |-------|-----|---------| | RED | #e74c3c | Fabricated entity — not in corpus | | AMBER | #e67e22 | Fuzzy match / misspelling | | YELLOW | #f39c12 | Not found anywhere | | GREEN | #2ecc71 | Confirmed entity |
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