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70 lines
2.3 KiB
Python
70 lines
2.3 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Multilingual batch scan for SkillSpector.
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Community-contributed tool for scanning directories of AI agent skills
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in non-English languages. Extends SkillSpector's built-in analyzers
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with targeted LLM gap-fill for vulnerability categories that static
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English-keyword regex rules cannot detect.
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Public API
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----------
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- :func:`~.discovery.discover_skills`
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- :func:`~.detection.detect_language`
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- :func:`~.detection.detect_skill_language`
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- :func:`~.annotation.is_language_compatible`
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- :func:`~.annotation.annotate_findings`
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- :func:`~.gap_fill.run_gap_fill`
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- :func:`~.runner.run_one`
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"""
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from __future__ import annotations
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# -- .env MUST load before any skillspector import. Python imports
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# this __init__.py before executing the batch_scan module body;
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# without this early load, constants.py resolves the provider
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# with stale env vars.
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try:
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import dotenv as _dotenv
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except ImportError:
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pass
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else:
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_dotenv.load_dotenv(_dotenv.find_dotenv(usecwd=True), override=True)
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from .annotation import annotate_findings, is_language_compatible
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from .api_pool import ApiKey, ApiKeyPool, PooledChatModel, create_api_key_pool_from_env
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from .detection import detect_language, detect_skill_language
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from .discovery import discover_skills
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from .gap_fill import GapFillAnalyzer, GapFillFinding, GapFillResult, run_gap_fill
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from .runner import run_one
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__all__ = [
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"annotate_findings",
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"ApiKey",
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"ApiKeyPool",
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"create_api_key_pool_from_env",
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"detect_language",
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"detect_skill_language",
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"discover_skills",
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"GapFillAnalyzer",
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"GapFillFinding",
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"GapFillResult",
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"is_language_compatible",
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"PooledChatModel",
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"run_gap_fill",
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"run_one",
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]
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