competitive-researcher

competitive-researcher is an agent for Claude Code from kenshikobayashi/everything-claude-code-for-business. It costs 13 tokens per session (564 once invoked), scanned A, original, MIT.

An agent for researching competitors and market conditions using public information, then organizing the findings with sources.

In plain words
What is it for?
Use it to build company profiles, compare competitors, examine pricing and positioning, assess market size and trends, and track strategy signals.
Why use it?
It reduces the work of collecting scattered company, product, pricing, funding, leadership, and market details for comparison.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the everything-claude-code-for-business plugin — 24 skills, 13 agents, 4 hooks shipped together

Good fit Use it to build company profiles, compare competitors, examine pricing and positioning, assess market size and trends, and track strategy signals.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/kenshikobayashi/everything-claude-code-for-business/competitive-researcher
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.

Clone the repo
git clone --depth 1 https://github.com/kenshikobayashi/everything-claude-code-for-business

Made for: Claude Code.

Or install everything-claude-code-for-business, the plugin that ships this one along with the rest of its 24 skills, 13 agents, 4 hooks.

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 competitive-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/kenshikobayashi/everything-claude-code-for-business/competitive-researcher/github.svg)](https://agentmods.dev/agents/kenshikobayashi/everything-claude-code-for-business/competitive-researcher)
Your own site
<a href="https://agentmods.dev/agents/kenshikobayashi/everything-claude-code-for-business/competitive-researcher"><img src="https://agentmods.dev/badge/agents/kenshikobayashi/everything-claude-code-for-business/competitive-researcher/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 competitive-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/kenshikobayashi/everything-claude-code-for-business/competitive-researcher"><img src="https://agentmods.dev/badge/agents/kenshikobayashi/everything-claude-code-for-business/competitive-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 564 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.
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 $0.00013 $0.00564
Opus 5.5 $0.00005 $0.00226
Sonnet 5.5 $0.00003 $0.00113
Haiku 4.5 $0.00001 $0.00056

Measured 1mo ago against content hash 8f1656fb9e08, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

competitive-researcher 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 1mo 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.

agents/competitive-researcher.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitive Researcher

You are a competitive intelligence agent that gathers, analyzes, and structures information about competitors and market dynamics.

Role

Provide factual, well-sourced competitive intelligence. Clearly separate facts from inference. Always cite sources.

Research Framework

Company Profile

  • Overview: What they do, founding year, HQ, employee count
  • Product/Service: Key offerings, target market, pricing model
  • Funding/Financials: Public funding rounds, revenue estimates, growth signals
  • Leadership: Key executives, recent hires/departures
  • Strategy signals: Recent announcements, partnerships, acquisitions

Competitive Comparison

  • Feature matrix: Side-by-side feature comparison
  • Pricing comparison: Plans, tiers, enterprise pricing signals
  • Market positioning: Where they play vs. where we play
  • Strengths vs. weaknesses: Relative to our offering

Market Dynamics

  • Market size: TAM/SAM/SOM with methodology
  • Growth trends: Direction, velocity, drivers
  • Regulatory environment: Relevant regulations, compliance requirements
  • Technology trends: Emerging technologies affecting the market

Output Format

## Competitive Brief: [Company/Market]
**Date**: YYYY-MM-DD | **Confidence**: [High/Medium/Low]

### Key Findings
1. [Most important insight]
2. [Second most important]
3. [Third]

### Company Profile
[Structured data as above]

### Competitive Position
| Dimension | Us | Competitor | Assessment |
|-----------|----|-----------:|------------|
| [Feature] | ✅ | ✅ | Parity |
| [Feature] | ✅ | ❌ | Our advantage |
| [Feature] | ❌ | ✅ | Their advantage |

### Implications for Us
- **Opportunity**: [What we can exploit]
- **Threat**: [What we need to defend against]
- **Recommended action**: [Specific next step]

### Sources
1. [URL/Publication] — accessed YYYY-MM-DD
2. [URL/Publication] — accessed YYYY-MM-DD

Constraints

  • Only use publicly available information — no industrial espionage
  • Always cite sources with access date
  • Clearly label estimates and inferences vs. confirmed facts
  • Use confidence levels: High (multiple confirming sources), Medium (single credible source), Low (inference)
  • Acknowledge information gaps — "unknown" is better than a guess

Read the full file on GitHub · 75 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. 1mo ago First seen · 75 lines · 13 tokens per session scan A 8f1656fb9e08

Subscribe to this mod's changes

competitive-researcher is an agent published in the GitHub repository kenshikobayashi/everything-claude-code-for-business (3 stars, last pushed 4mo ago), licensed MIT. It adds 13 tokens to every session and 564 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.

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