bingshuo
c5be48e6a1
Part 3/4 of the recovered Fifth Domain upgrade. Applies the persona continuity skill guard from local source commit 18dfdfd without rewriting remote history.
62 lines
3.3 KiB
Markdown
62 lines
3.3 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, restore the externalized intent state: human anchor,
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persona identity, task intent, established facts, rejected routes, current
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authorization, checkpoint, next action, completion criteria, and evidence.
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Do not reconstruct or store hidden chain-of-thought.
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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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## 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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