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Use Hypothesis and invariant-driven tests to harden SoulMap AI parsers, normalizers, and small deterministic helpers without creating flaky or slow suites.
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基于 SOC 职业分类
SoulMap, a reflective companion that helps people stop abandoning themselves. Includes a central coordination layer, a clear response pipeline, routing guidance, depth calibration, epistemic guardrails, safety guardrails, voice system, brand doctrine, and reusable templates. Mirror, not guide.
Build and maintain Python detector modules that identify framework selection signals in conversation history.
SoulMap reflective response frameworks covering emotional de-escalation, grief, existential reflection, inner parts, life direction, shadow work, synthesis, and relational inquiry. Relevant for tasks that require choosing or applying the core reflective method for a user conversation.
SoulMap safety and boundary rules covering crisis handling, dependency prevention, trauma-informed language, prompt injection defense, and scope control. Relevant for requests that involve harm, escalation, refusal, redirection, or questions about what SoulMap must not do.
SoulMap symbolic spiritual materials covering brand-safe numerology, chakra policy, healing metaphors, and archetypal language. Relevant for tasks that involve spiritual framing within SoulMap's grounded, non-predictive, non-grandiose boundaries.
SoulMap brand doctrine, positioning, message hierarchy, surface-specific rules, and strategic direction. Relevant for tasks that concern what SoulMap is, what it is not, how it sounds in public, or how brand language stays aligned across product surfaces.
| name | property-based-hardening |
| description | Use Hypothesis and invariant-driven tests to harden SoulMap AI parsers, normalizers, and small deterministic helpers without creating flaky or slow suites. |
Use this skill when a Python surface benefits from invariants over example-by-example tests, especially for parsing, normalization, serialization, and boundary-safe helper logic.
testing-strategy-revieweval-suite-maintainercode-quality-reviewStrengthen small but important Python contracts with compact, deterministic property-based tests that still run cleanly in SoulMap's local and CI workflows.
pyproject.tomltests/unit/../rules/python-tooling.mdpytest -n autoState the property being protected in plain language.
Summarize the Hypothesis strategy or helper change that made the contract safer.
State which targeted and broad tests were run.
The hardened surface should be:
pytest -n auto