Phdtaketaketake

Score a PhD applicant's profile and rank candidate advisors using a connection-first 4.0-scale scoring system. Best-supported for physics / HEP and materials science (MSE), with the scoring engine extensible to chemistry, biology, CS, math, EE, ChemE, earth science (each with field-specific caveats — see references/journal_tiers.md). Use when the user wants to evaluate their PhD application chances, find matching advisors at top US programs, score a CV for graduate school, or compare candidate professors. Also triggers when the user mentions phdtaketaketake or its connection-first philosophy o

33 stars 3 forksResearch & Science

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add powerofjinbo/phdtaketaketake --skill phdtaketaketake

Manual install

git clone --depth 1 https://github.com/powerofjinbo/phdtaketaketake.git /tmp/phdtaketaketake
mkdir -p ~/.claude/skills
cp -r /tmp/phdtaketaketake/. ~/.claude/skills/phdtaketaketake

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# phdtaketaketake — Connection-first PhD advisor matcher

## ⚠️ CARDINAL RULE — REAL DATA ONLY

**Every connection edge, every candidate fact, every signal value MUST trace
back to a real source you actually fetched via web search.** Fabrication is
strictly forbidden — students use these rankings to decide where they spend
years of their life. Made-up data is worse than no data.

**The contract:**
- ✅ Verified via web search → record value + structured `EvidenceSource`
  (URL + source_type + claim + supports_fields)
- ✅ Searched but found nothing → leave the field empty / set signal to `"missing"`
- ❌ Guessed from training memory → **NOT ALLOWED**
- ❌ Inferred from name patterns / school proximity / "feels likely" → **NOT ALLOWED**
- ❌ Estimated without any web search → **NOT ALLOWED**

**Two enforcement layers:**

1. **Risk-adjusted ranking** — wide confidence bands move candidates
   *down* the sort order. The agent literally cannot get a top rank with
   unsourced claims; the band widens and `risk_adjusted_strength = strength
   − band/2` drops below better-evidenced peers.

2. **`--strict-evidence` flag** — when run with this flag, `scripts/match.py`
   rejects any candidate that has *unsourced* claims (a value set without an
   `EvidenceEntry`). Missing signals (no value, no evidence) are still
   allowed — they're honest "I couldn't verify" states. Use this when the
   user is making real application decisions.

Read the full skill on GitHub

Details

Skill name: phdtaketaketake
Repository: powerofjinbo/phdtaketaketake
License: MIT
Repo updated: 10 October 2026

FAQ

What does the Phdtaketaketake skill do?

How do I install the Phdtaketaketake skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add powerofjinbo/phdtaketaketake --skill phdtaketaketake. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Phdtaketaketake popular?

It lives in powerofjinbo/phdtaketaketake, which has 33 GitHub stars and 3 forks.

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