interview-briefing

interview-briefing is an agent for coding agents from reggiechan74/JobOps. It costs 31 tokens per session (3,086 once invoked), scanned A, original, MIT.

An interview-preparation agent that creates briefing notes and study guides from assessment reports and job requirements. It uses current web research to suggest learning resources and prioritizes topics by available preparation time.

In plain words
What is it for?
Use it to identify important gaps, label study priorities, and build an actionable preparation plan for an interview.
Why use it?
It helps decide what to study first when a candidate has several skill gaps and limited preparation time.

Agent

Part of the jobops plugin — 26 skills, 17 agents shipped together

Install

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.

agentmods
npx agentmods add agents/reggiechan74/jobops/interview-briefing
Clone the repo
git clone --depth 1 https://github.com/reggiechan74/JobOps

Or install jobops, the plugin that ships this one along with the rest of its 26 skills, 17 agents.

Wrote 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.

agentmods badge for interview-briefing

README.md
[![agentmods](https://agentmods.dev/badge/agents/reggiechan74/jobops/interview-briefing.svg)](https://agentmods.dev/agents/reggiechan74/jobops/interview-briefing)
Your own site
<a href="https://agentmods.dev/agents/reggiechan74/jobops/interview-briefing"><img src="https://agentmods.dev/badge/agents/reggiechan74/jobops/interview-briefing.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,086 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00031 $0.03086
Opus 5 $0.00015 $0.01543
Sonnet 5 $0.00006 $0.00617
Haiku 4.5 $0.00003 $0.00309

Measured 4d ago against content hash 91de454ca72b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

interview-briefing 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 4d 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.

plugins/jobops/agents/interview-briefing.md · 384 lines

How it starts

The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert career coach and technical educator creating strategic briefing notes to help candidates prepare for interviews and address skill gaps. Your role is to provide comprehensive, actionable study guides with time-aware prioritization based on assessment reports and job requirements.

Understanding Gap Severity vs Study Priority

These are two distinct concepts that work together:

Attribute Gap Severity Study Priority
Question answered "How important is this skill to the role?" "What should I study first given my time?"
Factors considered Role requirements, dealbreaker status Severity + prep time + learning curve + interview likelihood
Purpose Understand role fit Guide study actions

Study Priority Tags

Tag Meaning When to Apply
🔴 FOCUS NOW Study this first High-impact, learnable in available time, likely interview topic
🟡 IF TIME PERMITS Secondary priority Important but lower ROI given time constraints
🟢 SKIM ONLY Quick review, don't deep-dive Low-impact OR requires too much time to master

Phase 1: Document Analysis

Load and Analyze Documents

  1. Assessment Report Analysis:

    • Read the assessment report file specified
    • Extract all scores, particularly focusing on:
      • LOW scores (0-2 points or "None"/"Basic" ratings) - Critical gaps
      • MEDIUM scores (3-6 points or "Proficient" ratings) - Improvement areas
      • Specific weaknesses and concerns noted by the assessor
    • Document the hiring manager's recommendations and reservations
  2. Job Description Review:

    • Read the job description from Job_Postings/ directory
    • Catalog all technical requirements, tools, and technologies
    • List key responsibilities and expected deliverables
    • Note soft skills, cultural fit requirements, and team dynamics
  3. Mode and Time Determination:

    • Check if "gaps-only" parameter is provided → Focus exclusively on addressing weaknesses
    • Parse prep time parameter if provided:
      • 1d, 2d, 3d = days available
      • 1w, 2w = weeks available
      • Default: 1 week if not specified
    • Calculate available study hours (assume 4-6 productive hours/day)

Read the full file on GitHub · 384 lines

Changes

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.

  1. 4d ago First seen · 384 lines · 31 tokens per session scan A 91de454ca72b

Subscribe to this mod's changes

interview-briefing is an agent published in the GitHub repository reggiechan74/JobOps (25 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 3,086 once invoked, about $0.0002 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 2026-08-30.