research

research is a skill for Claude Code from andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-. It costs 64 tokens per session (828 once invoked), scanned A, original, MIT.

A company research brief prepared before a job application or interview. It can cover what the company does, its finances, recent news, workplace culture, leadership, teams, contacts, and interview questions.

In plain words
What is it for?
Use it to investigate a prospective employer, identify recruiters or likely hiring managers, understand the relevant team, and prepare informed interview questions.
Why use it?
It brings scattered company information into one preparation document. Current facts such as news, reviews, and team changes may require web search; otherwise they are marked as potentially outdated.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the career-ops-plugin-do-not-fork-currently-updating-v2- plugin — 10 skills, 2 commands, 1 agent shipped together

Good fit Use it to investigate a prospective employer, identify recruiters or likely hiring managers, understand the relevant team, and prepare informed interview questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/research
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.

Any agent
npx skills add andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2- --skill research
Clone the repo
git clone --depth 1 https://github.com/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-

Made for: Claude Code.

Or install career-ops-plugin-do-not-fork-currently-updating-v2-, the plugin that ships this one along with the rest of its 10 skills, 2 commands, 1 agent.

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 research

README.md
[![agentmods](https://agentmods.dev/badge/skills/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/research/github.svg)](https://agentmods.dev/skills/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/research)
Your own site
<a href="https://agentmods.dev/skills/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/research"><img src="https://agentmods.dev/badge/skills/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/research/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.

agentmods 80×15 button for research

Your own site · 80×15
<a href="https://agentmods.dev/skills/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/research"><img src="https://agentmods.dev/badge/skills/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 828 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00064 $0.00828
Opus 5 $0.00032 $0.00414
Sonnet 5 $0.00013 $0.00166
Haiku 4.5 $0.00006 $0.00083

Measured 13d ago against content hash 53553abf99bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

research 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 13d 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.

skills/research/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Company Research

Build an intelligence brief on a target company.

Step 1: Gather Data

Use WebSearch to find:

  1. Company basics: What they do, size, founded, HQ, funding/revenue
  2. Recent news (last 6 months): Product launches, layoffs, acquisitions, leadership changes, funding rounds
  3. Culture signals: Glassdoor rating + recurring themes, any "best places to work" lists or notable controversies
  4. Team/department: Who leads the department you'd join? Likely hiring manager? Team size?
  5. Tech/tools/methodology: What does this team use? (Check job postings, tech blog, team member LinkedIn profiles via web search)

If WebSearch is unavailable:

"I can share what I know about {company}, but for the latest info (recent news, Glassdoor reviews, team changes), enable web search in your settings. Here's what I can tell you from general knowledge:"

Then provide what you know, clearly labeled as potentially outdated.

Step 2: Find Contacts

Search for likely hiring contacts:

  • Hiring manager (head of the relevant department)
  • Recruiter (search "{company} recruiter {department}")
  • Team members (potential peers for informational outreach)

For each contact found: Name, Title, and where you found them.

Note: Do NOT scrape LinkedIn profiles directly. Use web search results and public company pages only.

Step 3: Check for Existing Evaluation

Read data/evaluations/ for any evaluation at this company. If found, reference it to add context to the brief.

Step 4: Output

## Company Brief: {Company Name}

### Overview
| Field | Detail |
|---|---|
| **Industry** | {industry} |
| **Size** | {employee count range} |
| **Founded** | {year} |
| **HQ** | {location} |
| **Revenue/Funding** | {if available} |
| **Website** | {URL} |

### Recent News (Last 6 Months)
- {headline} ({source}, {date})
- ...
(If no news found: "No major recent news found.")

### Culture Snapshot
**Glassdoor:** {rating}/5 ({review count} reviews)
**Positive themes:** {what employees like}
**Negative themes:** {common complaints}
**Work style:** {remote/hybrid/in-office, hours culture}

### Key Contacts
| Name | Title | Source |
|---|---|---|
| {name} | {title} | {where found} |

### Interview Intelligence
- **Company values/mission:** {what they emphasize}
- **Current priorities:** {what they're working on now}
- **Smart questions to ask:**
  1. {question based on recent news or strategy}
  2. {question about team/culture}
  3. {question about role's impact}
- **Topics to handle carefully:** {any sensitive items}

Read the full file on GitHub · 107 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. 13d ago First seen · 107 lines · 64 tokens per session scan A 53553abf99bd

Subscribe to this mod's changes

research is a skill published in the GitHub repository andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2- (490 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 828 once invoked, about $0.0003 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.

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