competitive-analysis

competitive-analysis is an agent for coding agents from Muromi-Rikka/cc-learn. It costs 47 tokens per session (3,480 once invoked), scanned A, original, no licence file.

A multi-agent process for comparing the features of Notion, Confluence, and Feishu documents. A feature matrix is a table that compares the same capabilities across products.

In plain words
What is it for?
Use it to research documentation tools in parallel, score their features, and identify areas where one product could stand out.
Why use it?
It replaces much of the manual work of researching products and applies preset scoring criteria to produce differentiated recommendations.

Agent

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.

agentmods
npx agentmods add agents/muromi-rikka/cc-learn/competitive-analysis
Clone the repo
git clone --depth 1 https://github.com/Muromi-Rikka/cc-learn

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-analysis

README.md
[![agentmods](https://agentmods.dev/badge/agents/muromi-rikka/cc-learn/competitive-analysis.svg)](https://agentmods.dev/agents/muromi-rikka/cc-learn/competitive-analysis)
Your own site
<a href="https://agentmods.dev/agents/muromi-rikka/cc-learn/competitive-analysis"><img src="https://agentmods.dev/badge/agents/muromi-rikka/cc-learn/competitive-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,480 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00047 $0.03480
Opus 5 $0.00023 $0.01740
Sonnet 5 $0.00009 $0.00696
Haiku 4.5 $0.00005 $0.00348

Measured 4d ago against content hash e09a1964cb73, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

competitive-analysis 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 4d 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.

docs/agents/competitive-analysis.md · 210 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 210 lines · 47 tokens per session scan A e09a1964cb73

Subscribe to this mod's changes

competitive-analysis is an agent published in the GitHub repository Muromi-Rikka/cc-learn (2 stars, last pushed 1mo ago), with no licence file. It adds 47 tokens to every session and 3,480 once invoked, about $0.0002 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 2026-08-31.