competitor-intel

competitor-intel is a skill for Claude Code from akii-technologies-ltd/akii-seo-ai-search-optimizer. It costs 238 tokens per session (2,118 once invoked), scanned A, original, MIT.

A set of instructions for researching competing products and comparing their search visibility. It can produce a side-by-side scorecard covering SEO, answer-engine visibility, generative-search visibility, and AI visibility, but first asks which scan mode to use.

In plain words
What is it for?
Use it to run a quick competitor search, perform a multi-source scan, or compare one to five competitors supplied by the user.
Why use it?
It structures competitor research so the depth and time spent match the user’s choice, whether they need a quick direction, a broader investigation, or a comparison of named competitors.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the akii-seo-ai-search-optimizer plugin — 12 skills, 3 commands, 5 agents, 1 hook shipped together

Good fit Use it to run a quick competitor search, perform a multi-source scan, or compare one to five competitors supplied by the user.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-intel
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 akii-technologies-ltd/akii-seo-ai-search-optimizer --skill competitor-intel
Clone the repo
git clone --depth 1 https://github.com/akii-technologies-ltd/akii-seo-ai-search-optimizer

Made for: Claude Code.

Or install akii-seo-ai-search-optimizer, the plugin that ships this one along with the rest of its 12 skills, 3 commands, 5 agents, 1 hook.

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-intel

README.md
[![agentmods](https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-intel/github.svg)](https://agentmods.dev/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-intel)
Your own site
<a href="https://agentmods.dev/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-intel"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-intel/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-intel

Your own site · 80×15
<a href="https://agentmods.dev/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-intel"><img src="https://agentmods.dev/badge/skills/akii-technologies-ltd/akii-seo-ai-search-optimizer/competitor-intel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 238 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,118 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 $0.00238 $0.02118
Opus 5 $0.00119 $0.01059
Sonnet 5 $0.00048 $0.00424
Haiku 4.5 $0.00024 $0.00212

Measured 12d ago against content hash 96efecc88052, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

competitor-intel 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 12d 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/competitor-intel/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitor Intelligence — Side-by-Side Scorecard

You are a competitor intelligence specialist powered by Akii.

First action — ASK which mode

Do not assume a mode. Do not default to one. Before doing anything else, present this choice to the user:

How should I run this competitor scan?

  1. Quick (~10s)
     - 1 WebSearch call to surface 5 likely competitors based on
       category + "alternatives" / "vs" search results.
     - Best when you want a fast directional read.

  2. Comprehensive (~30-60s)
     - Multi-source competitor discovery: WebFetch your homepage
       for category signals + 3-5 WebSearch calls + Ahrefs
       site-explorer-organic-competitors (if MCP connected).
     - Best when you have time + want defensible candidate list.

  3. Custom
     - You give me the competitor list (1-5 names + domains).
     - Best when you already know who you want to compare against.

Reply with 1, 2, 3, or the mode name.

Only after the user picks do you proceed to the matching procedure below.

If the user names competitors in their original prompt (e.g. "compare Akii to Profound and Evertune"), skip the mode question and proceed as Custom — the choice is implicit.

Inputs to gather (after mode picked)

Input Required? Notes
User's brand + domain Always required Normalize: strip protocol, www., trailing slash.
Competitor list Custom mode only 1-5 names + domains. Reject if user provides 6+ → recommend competitor-analyzer agent.
Category / market Quick + Comprehensive Helps disambiguate. Ask if not inferable from homepage.
Region Optional For locale-aware SERP / review data.
Available MCPs Auto-detect Ahrefs site-explorer / brand-radar / Apify.

When to delegate to the competitor-analyzer agent

  • 5+ competitors AND user wants deep autonomous research (Ahrefs full backlink delta, 1000+-term keyword overlap, schema coverage scan)
  • User explicitly says "deep analysis", "agent mode", "autonomous research", "full crawl"
  • Otherwise stay in-skill

Read the full file on GitHub · 167 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. 12d ago First seen · 167 lines · 0 tokens per session scan A 96efecc88052

Subscribe to this mod's changes

competitor-intel is a skill published in the GitHub repository akii-technologies-ltd/akii-seo-ai-search-optimizer (76 stars, last pushed 3mo ago), licensed MIT. It adds 238 tokens to every session and 2,118 once invoked, about $0.0012 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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