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临床研究评估与证据追溯

为汇总层面的临床研究整理证据、评价、模型和治理材料,提供 GRADE 资料与逻辑追溯检查;适用研究用途。

开源精选医疗业务31 个文件50,135 Stars浏览次数 0K-Dense-AI/scientific-agent-skills MIT版本 a1043ef
开始使用

适用环境:Python 3.11+; local files only; bundled scripts use the standard library and require no network, credentials, API keys, LLMs, or image services.

输入资料
汇总或原文允许的研究材料 预先明确的研究问题与评价目标 阅读本节完整说明
交付内容
研究评价与证据资料 来源、限制与人工复核清单 阅读本节完整说明
  1. 获取完整包,保留配套文件的目录结构。
  2. 按照原文准备所需工具、依赖与输入资料。
  3. 阅读对应使用步骤与输入输出说明,在自己的环境中验证结果。

使用提示摘自原文,配套文件保留来源版本;实际运行条件以各包说明为准。

正文

获取原文件

references/security_validation.md

Validation date: 2026-07-23 (local project date).

Baseline

The repository SECURITY.md section recorded 11 findings:

  • 3 CRITICAL findings for cross-file environment-variable/network exfiltration behavior;
  • 1 HIGH finding for transmitting a credential to an external service;
  • 5 MEDIUM findings for command chaining, credential flow, undeclared network use, and environment harvesting;
  • 2 LOW findings for mandatory cross-skill invocation and dependency concerns.

The affected external schematic wrappers were the now-deleted files generate_schematic.py and generate_schematic_ai.py.

Remediation

  • Deleted both schematic-generation scripts.
  • Removed all external service, LLM, image, credential, and environment-variable behavior.
  • Removed mandatory figures and cross-skill calls.
  • Replaced unsafe person-level classification and care-pathway helpers with aggregate or planning-only tools.
  • Added bounded local JSON handling, person-level-key rejection, output limits, and deterministic schemas.
  • Added static AST tests that reject network libraries, dynamic code execution, credential access, and executable serialization.

Historical July 2026 Scan Results

  • Direct behavioral scan: SAFE, 0 findings.
  • Pull-request gate with --fail-on HIGH: passed with 0 CRITICAL and 0 HIGH. Repeated LLM-assisted runs returned 2–3 LOW findings because the analyzer is nondeterministic.

Accepted LOW Findings

Across repeated runs, the nondeterministic analyzer reported different subsets of these LOW observations:

  1. Optional allowed-tools field absent — accepted as informational. The Agent Skills specification does not require it; compatibility and runtime instructions explicitly prohibit network and credential access.
  2. Broad description — accepted. The scope intentionally covers the related research-evaluation artifacts requested for this safety refresh, while the frontmatter and first body section explicitly exclude care and live operation.
  3. Person-level key filtering uses a denylist — accepted as a documented limitation, not a privacy guarantee. Input is contractually restricted to synthetic or aggregate schemas, common person-level fields are rejected as defense in depth, and the documentation repeatedly requires qualified privacy review. The filter cannot detect every identifier name or sensitive value and is never presented as de-identification.
  4. Occasional missing-file report — accepted as an analyzer false positive. Some runs invented a templates/ directory and nonexistent assets/*.md references. The deterministic test_documented_local_paths_exist check resolves every documented local path and passes.

None of the accepted findings permits network access, sensitive-data handling, or clinical action.

September 2026 Maintenance

The 2.4 refresh keeps all runtime helpers offline. Invalid aggregate/matrix inputs now withhold results or exports; denominator checks run before suppression; undefined balanced accuracy stays null; CSV text is escaped and dangling output symlinks are rejected. Synthetic regression tests cover these cases and the updated GRADE imprecision label. The July scanner results above are historical, not a claim about a new scan of version 2.4.

Reproduction

uv run skill-scanner scan skills/clinical-decision-support --use-behavioral

uv run python scan_pr_skills.py \
  --fail-on HIGH \
  --output /tmp/clinical-decision-support-pr-scan.md \
  skills/clinical-decision-support

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