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aipoch-ai

Post-doc Fellowship Matcher

by AIpoch · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install postdoc-fellowship-matcher
Description
Filter and match postdoctoral fellowship opportunities based on applicant nationality, years since PhD, and research field from a curated database.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install postdoc-fellowship-matcher
  3. After installation, invoke the skill by name or use /postdoc-fellowship-matcher
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug postdoc-fellowship-matcher
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Post-doc Fellowship Matcher?

Filter and match postdoctoral fellowship opportunities based on applicant nationality, years since PhD, and research field from a curated database. It is an AI Agent Skill for Claude Code / OpenClaw, with 96 downloads so far.

How do I install Post-doc Fellowship Matcher?

Run "/install postdoc-fellowship-matcher" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Post-doc Fellowship Matcher free?

Yes, Post-doc Fellowship Matcher is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Post-doc Fellowship Matcher support?

Post-doc Fellowship Matcher is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Post-doc Fellowship Matcher?

It is built and maintained by AIpoch (@aipoch-ai); the current version is v1.0.0.

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