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在 OpenClaw 中安装
/install postdoc-fellowship-matcher
功能描述
Filter and match postdoctoral fellowship opportunities based on applicant nationality, years since PhD, and research field from a curated database.
安全使用建议
This skill is not malicious, but it is inconsistent: SKILL.md promises field normalization and a richer curated database, while scripts/main.py ignores the 'field' parameter and uses a small hard-coded fellowship list with different eligibility details. Before installing or relying on results, consider: (1) Do not use this output as authoritative — verify eligibility and deadlines on official sites. (2) If you expect field-based matching, inspect or update scripts/main.py to implement normalization and to load references/fellowships.md (or confirm why it was omitted). (3) Note small inconsistencies in eligibility (e.g., NIH years and NSF nationality differ between code and references); ask the author for clarification or fix the code. If you lack the ability to review/patch the code, treat outputs as a very rough filter only.
功能分析
Type: OpenClaw Skill
Name: postdoc-fellowship-matcher
Version: 1.0.0
The postdoc-fellowship-matcher skill is a well-documented and safe tool designed to filter fellowship opportunities based on user-provided criteria. The core logic in scripts/main.py is a simple, self-contained Python script that performs basic filtering without any network access, file system manipulation, or use of dangerous functions like eval(). The SKILL.md instructions include clear scope boundaries and safety guidelines, explicitly directing the agent to avoid out-of-scope tasks like application writing or accessing live databases.
能力评估
Purpose & Capability
The skill claims to normalize free-text research fields and return ranked matches from a curated database (SKILL.md + references/fellowships.md). The included script (scripts/main.py) accepts a field parameter but does not use it for filtering or normalization; it only filters by nationality and years. The SKILL.md and references list more fellowships and different eligibility rules (e.g., Marie Curie, Schmidt Science Fellows, and specific eligibility text) than the small FELLOWSHIPS list embedded in the code. These mismatches mean the implemented capability is materially weaker than advertised.
Instruction Scope
Runtime instructions are narrowly scoped and safe to run (compile and run the script), and SKILL.md points to references/fellowships.md as the database. However, the instructions imply behavior (field normalization, using the full database, match rationale) that the code does not implement. The mismatch between documented workflow and actual runtime behavior is the main scope concern.
Install Mechanism
No install spec or external downloads; the skill is instruction-only with a small local Python script and local reference file. No third-party packages or network installs are requested.
Credentials
The skill requests no environment variables, no credentials, and references only local files. There is no indication of unnecessary credential or environment access.
Persistence & Privilege
The skill does not request persistent/always-on presence, does not modify other skills or agent-wide settings, and uses only local files. No elevated privileges are requested.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install postdoc-fellowship-matcher - 安装完成后,直接呼叫该 Skill 的名称或使用
/postdoc-fellowship-matcher触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of postdoc-fellowship-matcher.
- Filters and matches postdoctoral fellowship opportunities based on applicant nationality, years since PhD, and research field.
- Uses a curated fellowship database (NIH F32, NSF, HFSP, EMBO, Marie Curie, Schmidt Science Fellows).
- Handles free-text input for research fields with built-in normalization and alias recognition.
- Returns a ranked list of eligible fellowships, deadlines, requirements, and relevant notes.
- Includes clear workflow steps, scope boundaries, stress-case rules, and robust input validation.
- Responds with explicit guidance if requests are outside the documented scope.
元数据
常见问题
Post-doc Fellowship Matcher 是什么?
Filter and match postdoctoral fellowship opportunities based on applicant nationality, years since PhD, and research field from a curated database. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 96 次。
如何安装 Post-doc Fellowship Matcher?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install postdoc-fellowship-matcher」即可一键安装,无需额外配置。
Post-doc Fellowship Matcher 是免费的吗?
是的,Post-doc Fellowship Matcher 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Post-doc Fellowship Matcher 支持哪些平台?
Post-doc Fellowship Matcher 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Post-doc Fellowship Matcher?
由 AIpoch(@aipoch-ai)开发并维护,当前版本 v1.0.0。
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