candidate-scorecard
Turn interview notes into a structured candidate scorecard and hire recommendation
Install / Use
npx skills add mohitagw15856/pm-claude-skills --skill candidate-scorecardInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of candidate-scorecard
candidate-scorecard scores 79/100 on our quality scale, 2663rd of 4,140 Development & Engineering skills we index.
Its SKILL.md is 3.5 KB long, well organised into 8 sections and no code examples: a solid amount of guidance for an agent.
With 1,396 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 6 days ago, so candidate-scorecard is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
candidate-scorecard compared with similar skills
All 4 of these similar skills score higher than candidate-scorecard; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| candidate-scorecard (this skill)by mohitagw15856 | 79 | 1.4k | 6d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.6k | 1d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | today | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 8d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 8d ago | SKILL.md |
Frequently asked questions
- How do I install candidate-scorecard?
- Run
npx skills add mohitagw15856/pm-claude-skills --skill candidate-scorecard. The install tabs above show the steps for each supported agent. - Which AI agents does candidate-scorecard work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is candidate-scorecard safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is candidate-scorecard still maintained?
- The repository was last updated 6 days ago, so candidate-scorecard is actively maintained.
Skill content
View source on GitHubname: candidate-scorecard description: "Turn interview notes into a structured candidate scorecard and hire recommendation. Use when asked to write an interview scorecard, a candidate evaluation, an interview debrief, or to summarize feedback into a hire/no-hire call. Produces a per-competency assessment with evidence and ratings, an overall recommendation with confidence, and the open questions for the next round — evidence-based, bias-aware, and decision-ready."
Candidate Scorecard Skill
A scorecard converts a fuzzy "I liked them" into an evidence-based, comparable evaluation. It rates the
candidate against the same competencies the role defined, ties each rating to specific evidence from the
interview, and lands a clear recommendation — so debriefs are about evidence, not who argues hardest. (For the
role's question set and competencies, pair with interview-question-bank.)
Working from a brief
Given rough interview notes, produce the full scorecard anyway — organize the evidence under the relevant competencies and give a rating + recommendation, marking where evidence is thin (low confidence / probe next round). Never invent things the candidate said; if a competency wasn't assessed, say so rather than guessing.
Required Inputs
Ask for these only if they aren't already provided (else mark as not assessed):
- The role & competencies — what's being assessed (or use the role's interview kit).
- Interview notes — what the candidate said/did, ideally with examples.
- The interview scope — which round/competencies this interviewer covered.
- Scale — the rating scale to use (e.g. 1–4: strong no / no / yes / strong yes).
Output Format
Candidate Scorecard: [name] — [role]
- Summary — one-line read: overall rating and the headline reason.
- Per-competency assessment — for each competency assessed:
| Competency | Rating | Evidence (what they said/did) | Concern / gap | |---|---|---|---|
Mark any competency you couldn't assess as Not assessed.
- Strengths — the 2–3 clearest, evidence-backed.
- Risks / gaps — the real concerns, with the evidence (not vibes).
- Open questions for next round — what to probe to resolve uncertainty.
- Recommendation — Hire / No hire / Lean yes / Lean no, with a confidence level and the one-sentence rationale.
Quality Checks
- [ ] Every rating is tied to specific evidence from the interview, not impressions
- [ ] Competencies not actually assessed are marked "Not assessed", not guessed
- [ ] Strengths and risks are concrete and balanced — not a one-sided narrative
- [ ] The recommendation states a confidence level and what would change it
- [ ] Open questions hand the next interviewer something specific to probe
- [ ] No invented quotes/claims; bias-prone "culture fit" is replaced with job-related evidence
Anti-Patterns
- [ ] Do not rate on overall vibe — anchor each score to what the candidate actually demonstrated
- [ ] Do not invent or embellish what they said to justify a rating
- [ ] Do not score competencies you didn't test — flag them for the next round
- [ ] Do not hide low confidence behind a confident-sounding verdict — say how sure you are
- [ ] Do not lean on "culture fit" as a reason — name the specific, job-related concern
Based On
Structured-hiring practice — competency ratings anchored to evidence, calibrated recommendations with confidence, and bias-aware, decision-ready debriefs.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
