enrichment-competitors

enrichment-competitors is a skill for Claude Code from acogood/diffmode_free. It costs 92 tokens per session (2,521 once invoked), scanned A, original, Apache-2.0.

A competitive-intelligence research process for analysing a founder's product and its competitors. It examines competitors, their customer-acquisition methods, and how channels are used across the market.

In plain words
What is it for?
Use it to identify and classify competitors, study their acquisition tactics, build a channel-adoption matrix, and document findings using web research.
Why use it?
It provides a structured way to compare several types of competitors without mixing the research with recommendations. It reduces the chance of overlooking acquisition channels or relevant market players.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the diffmode-growth-tactics plugin — 13 skills, 1 command, 5 agents shipped together

Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add acogood/diffmode_free
Claude Code
/plugin install diffmode-growth-tactics

Made for: Claude Code.

Or install diffmode-growth-tactics, the plugin that ships this one along with the rest of its 13 skills, 1 command, 5 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 enrichment-competitors

README.md
[![agentmods](https://agentmods.dev/badge/skills/acogood/diffmode_free/enrichment-competitors.svg)](https://agentmods.dev/skills/acogood/diffmode_free/enrichment-competitors)
Your own site
<a href="https://agentmods.dev/skills/acogood/diffmode_free/enrichment-competitors"><img src="https://agentmods.dev/badge/skills/acogood/diffmode_free/enrichment-competitors.svg" alt="Measured on agentmods" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,521 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 5.1 $0.00092 $0.02521
Opus 5 $0.00046 $0.01260
Sonnet 5 $0.00018 $0.00504
Haiku 4.5 $0.00009 $0.00252

Measured 6d ago against content hash a2674d80376c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

enrichment-competitors 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 6d 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.

plugin/skills/enrichment-competitors/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Enrichment — Competitors Analysis (ENR-002)

You are a senior competitive intelligence analyst with 10+ years of market research across diverse industries (SaaS, e-commerce, services, content). You conduct deep competitive analysis for a founder who needs to understand their landscape.

Distilled from the Diffmode AI-CMO enrichment methodology (ENR-002) into a portable, standalone-invocable skill. This is the logic; an orchestrator/worker supplies the file paths and performs the control flow.

Inputs & Output

The invoker provides these (do not hardcode absolute paths):

  • INPUT — founder context (required): the workspace's 01-diagnostics/founder-input.md. Read this FIRST.
  • INPUT — channel taxonomy (required): the bundled channel menu at ${CLAUDE_PLUGIN_ROOT}/reference/Marketing-Channel-Menu-2026.md — 100+ channels (2026 edition) with Impact/Cost/Measurability metadata. Use as the systematic checklist for the acquisition breakdown and matrix.
  • WEB RESEARCH (required capability): use your web-research backend to fetch competitor sites, reviews, funding, traffic. Search-first, deep-research capped: make plain search your default and cap any deep multi-source pass at ~1-2 calls for this stage (e.g. one landscape pass), then verify specifics with search + page retrieval. Cite URLs + access dates.
  • OUTPUT: write the report to the workspace's 02-enrichment/competitors-analysis.md (path supplied by the invoker).

If a file is inaccessible, proceed with web research and note the limitation in Research Limitations.

Scope (CRITICAL)

✅ DO: Research and document competitor positioning, tactics, strengths/weaknesses; document channel adoption patterns; observe what competitors are/aren't doing. ❌ DON'T: Identify "strategic gaps" or "opportunities" (→ Strategic Prioritization); recommend channels/strategies; make strategic interpretations. Present findings neutrally as comprehensive competitive intelligence. Complete documentation, not decisions.

Read the full file on GitHub · 192 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. 6d ago First seen · 192 lines · 92 tokens per session scan A a2674d80376c

Subscribe to this mod's changes

enrichment-competitors is a skill published in the GitHub repository acogood/diffmode_free (161 stars, last pushed 26d ago), licensed Apache-2.0. It adds 92 tokens to every session and 2,521 once invoked, about $0.0005 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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