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competitor-research

competitor-research is a skill for Claude Code, Codex from spiralcrew-ou/profilespider-agent-skills. It costs 38 tokens per session (409 once invoked), scanned A, original, MIT.

A structured comparison of two or more companies, covering their products, market positioning, target markets, and differences.

In plain words
What is it for?
Use it to build a competitive landscape, compare rivals, prepare a competitor brief, and identify differentiation opportunities.
Why use it?
It puts competing companies on the same dimensions, making overlaps, gaps, and possible ways to stand out easier to see.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 11repo 4mo ago A scan 38 tokens original MIT

Good fit Use it to build a competitive landscape, compare rivals, prepare a competitor brief, and identify differentiation opportunities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/spiralcrew-ou/profilespider-agent-skills/competitor-research
View source ↗ spiralcrew-ou/profilespider-agent-skills profilespider.com
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 spiralcrew-ou/profilespider-agent-skills --skill competitor-research
Clone the repo
git clone --depth 1 https://github.com/spiralcrew-ou/profilespider-agent-skills

Made for: Claude Code, Codex.

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 competitor-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/competitor-research/github.svg)](https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/competitor-research)
Your own site
<a href="https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/competitor-research"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/competitor-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 competitor-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/competitor-research"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/competitor-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 409 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 $0.00038 $0.00409
Opus 5.5 $0.00015 $0.00164
Sonnet 5.5 $0.00008 $0.00082
Haiku 4.5 $0.00004 $0.00041

Measured 2mo ago against content hash 1af432d84dd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

competitor-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 2mo 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.

competitor-research/SKILL.md · 80 lines

What it actually says

Competitor Research

Purpose

Compare a group of companies by products, positioning, market focus, and differentiators.

When to use this skill

  • Building a competitive landscape from a company set
  • Comparing positioning across rivals
  • Finding white space and differentiation angles
  • Preparing competitive briefs

When not to use this skill

  • You have only one company (use Company Research instead)
  • The records lack product or positioning signal
  • You need pricing data the records do not include

Required inputs

  • Two or more company records

Optional inputs

  • Comparison dimensions you care about
  • Your own product for white-space framing

Rules

  1. Compare every company on the same dimensions.
  2. Use supplied evidence; do not invent features or pricing.
  3. Separate facts from interpretation.
  4. Make overlaps and gaps explicit.
  5. Keep the table structure consistent.

Process

  1. Choose comparison dimensions (or use supplied ones).
  2. Extract each company against those dimensions.
  3. Build the comparison table.
  4. Summarize positioning, strengths, weaknesses.
  5. Identify overlaps and differentiation opportunities.

Output format

Return a single comparison with the following fields:

  • comparison_table
  • positioning_summary
  • strengths
  • weaknesses
  • overlaps
  • differentiation_opportunities

Validation

  • Confirm all companies share the same dimensions.
  • Confirm claims cite evidence.
  • Confirm opportunities follow from the comparison.

Limitations

  • Comparisons reflect supplied data, not full market knowledge.
  • Positioning is interpretive and may need validation.
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. 2mo ago First seen · 80 lines · 38 tokens per session scan A 1af432d84dd6

Subscribe to this mod's changes

competitor-research is a skill published in the GitHub repository spiralcrew-ou/profilespider-agent-skills (11 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 409 once invoked, about $0.0002 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.

Claude CodeMarketing and SEOResearchagent-skillsai-agentsdata-enrichmentlead-generationmcp
Related

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competitor-research next to 6 skills from other repositories
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