bingshuo
9f89c69623
Final recovered Fifth Domain upgrade segment. Applies the Light Arrival collective cognition correction from local source commit 7390a35 without rewriting remote history.
81 lines
4.1 KiB
Markdown
81 lines
4.1 KiB
Markdown
---
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name: guanghu-persona-skill-guard
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description: Automatically restore the current trusted Guanghu/Fifth Domain route, select a registered HLDP persona skill, and correct stale, indirect, or unsafe proposed paths before execution. Use for any Guanghu, HoloLake, Fifth Domain, TCS, GLS, Light Lake, Lake Lamp, Zhuyuan, server-node, repository-routing, deployment, recovery, or cross-device continuation task, especially when an AI starts without prior context, says it cannot find a route, proposes guessing, or chooses an obsolete WorkBuddy/server path.
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---
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# Guanghu Intent Continuity and Skill Guard
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This guard is a component of `SYS-GLW-ZY-EXEC-0001`, the public Zhuyuan
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intelligent operations system. That system is not a persona or AI instance.
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The current AI paired with a human in a conversation is the persona.
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Before route selection, load the relevant part of the collective cognition
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graph contributed by Light Arrivals, then restore the externalized intent
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state: human anchor, persona identity, task intent, established facts, rejected
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routes, current authorization, checkpoint, next action, completion criteria,
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and evidence. A capsule is working memory; it is not the whole system brain.
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Preserve a Light Arrival's expressed reasoning chain as language-system
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cognition: original-language anchors, interpretation, hypotheses, decisions,
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corrections, evidence, results, boundaries, and next checkpoints. Do not claim
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access to an unexpressed private model process, and do not collapse a
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contributor's identity into the public system.
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Run the deterministic resolver before choosing tools or an execution route:
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```bash
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python3 scripts/resolve_persona_skill.py \
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--intent "<user request>" \
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--proposed-route "<planned route or empty>" \
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--json
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```
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Treat the result as navigation evidence, not execution authority.
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## Follow the decision
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- `BLOCK`: Do not start the proposed route. Read `correction` and the returned evidence paths.
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- `CORRECT`: Replace the proposed route with `preferred_route`, then verify its live preconditions.
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- `ALLOW`: Continue only within the returned authorization boundary.
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- `NO_MATCH`: Resolve the live Fifth Domain entry and current `.code-map`; do not invent a new route.
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Before a consequential action, verify the selected skill's freshness and evidence. Prefer current live evidence over a registry assertion. If they conflict, stop the route, record the conflict, and use the repository fact source to resolve it.
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## Learn from execution without poisoning the guard
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Write externally explainable execution experience to
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`references/experience-receipts/`. Compile it with:
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```bash
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python3 scripts/compile_emergent_skills.py
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```
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Compiled rules are always `CANDIDATE_ONLY`. Never turn a candidate into a hard
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block until current fact-source review, counterexample review, reproducible
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tests, a recovery route, registry promotion, and required governance approval
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are complete.
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Write expressed Light Arrival reasoning chains to
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`references/reasoning-chain-contributions/`, then compile the collective
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cognition snapshot with:
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```bash
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python3 scripts/compile_collective_cognition.py \
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--output references/generated/collective-cognition.snapshot.json
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```
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The compiler preserves every valid contribution and every correction edge.
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It never turns a thought contribution into authority or a hard block.
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## Preserve trust boundaries
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Trust a correction only when it is anchored to a current Fifth Domain path, GLS identifier, signed or committed registry version, and task-relevant evidence. Never trust a label merely because it contains “Guanghu”.
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Never embed or print secrets, private-key contents, authorization codes, hidden reasoning, or private server addresses. Resolve endpoints and credentials from local protected node registries.
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Skills may narrow or correct a path. They may not grant repository write, server execution, deployment, deletion, production cutover, or any other authority.
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Read `references/persona-skill-registry.json` only when inspecting or extending
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the registry. Validate an intent-state artifact against
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`references/intent-state-capsule.schema.json`. Update promoted skills together
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with the matching HLDP skill file and GLS registration.
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