Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cnfeat/top-pm-skills --skill engineering-hiring-rubricgit clone --depth 1 https://github.com/cnfeat/top-pm-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cnfeat/top-pm-skills/engineering-hiring-rubric)<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/engineering-hiring-rubric"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/engineering-hiring-rubric/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/engineering-hiring-rubric"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/engineering-hiring-rubric.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00080 | $0.04752 |
| Opus 5 | $0.00040 | $0.02376 |
| Sonnet 5 | $0.00016 | $0.00950 |
| Haiku 4.5 | $0.00008 | $0.00475 |
Grade A, and why
engineering-hiring-rubric scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engineering Hiring Rubric
Produce a complete hiring rubric and interview scorecard for evaluating software engineers at a specific role and level. The rubric must be specific enough that two interviewers who have never compared notes will score the same candidate within one level of each other. That requires: explicit behavioral anchors (what does "Strong Hire" look like vs. "Hire" for each competency), calibrated technical questions with written evaluation criteria, and a structured debrief format that surfaces signal rather than recency bias. Include calibration notes to help interviewers recognize and counter common evaluation biases.
Required Inputs
Ask for these if not already provided:
- Role — backend, frontend, fullstack, SRE/platform, data, ML, or mobile engineer
- Level — junior (L3/IC2), mid (L4/IC3), senior (L5/IC4), or staff (L6/IC5); clarify the company's level naming if different
- Team context — what the team builds, team size, and what problems this hire will work on in the first year
- Tech stack — primary languages and frameworks for the technical questions; list the stack explicitly
- Interview format — which rounds are used (phone screen, coding, system design, behavioral, take-home); if not specified, produce a recommended format
Output Format
Engineering Hiring Rubric: [Role] — [Level]
Role: [e.g., Senior Backend Engineer] Level equivalent: [e.g., L5 / IC4 / Senior] Team: [Team name and one-sentence description of what they build] Tech stack: [Languages and frameworks] Interview loop: [List the rounds in order]
1. Role Definition and Level Expectations
What This Role Does
[2–3 sentences describing the scope of work: what systems they'll own, what problems they'll solve, and who they'll work with. Make this specific to the team context provided.]
Level Bar
Define the minimum bar for a Hire recommendation at this level. This is not the ideal candidate description — it is the floor.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 347 lines · 80 tokens per session scan A b63475ae48e0
engineering-hiring-rubric is a skill published in the GitHub repository cnfeat/top-pm-skills (48 stars, last pushed 3mo ago), licensed MIT. It adds 80 tokens to every session and 4,752 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.