competitor-scan

competitor-scan is a skill for Claude Code, Codex from aakashg/pm-github-workflow-repo. It costs 47 tokens per session (646 once invoked), scanned A, original, MIT.

A research workflow for examining a competitor using its website, pricing, reviews, news, and other public evidence. It produces a structured comparison of the competitor's product, strengths, weaknesses, and user sentiment.

In plain words
What is it for?
Use it to research a named competitor, check product features and pricing, summarize customer praise and complaints, and assess overlap with your own product.
Why use it?
It gathers scattered market information into one evidence-backed view. It also records when information such as pricing or company details is not public instead of guessing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

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 skills/aakashg/pm-github-workflow-repo/competitor-scan
Any agent
npx skills add aakashg/pm-github-workflow-repo --skill competitor-scan
Clone the repo
git clone --depth 1 https://github.com/aakashg/pm-github-workflow-repo

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-scan

README.md
[![agentmods](https://agentmods.dev/badge/skills/aakashg/pm-github-workflow-repo/competitor-scan.svg)](https://agentmods.dev/skills/aakashg/pm-github-workflow-repo/competitor-scan)
Your own site
<a href="https://agentmods.dev/skills/aakashg/pm-github-workflow-repo/competitor-scan"><img src="https://agentmods.dev/badge/skills/aakashg/pm-github-workflow-repo/competitor-scan.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 646 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 $0.00047 $0.00646
Opus 5 $0.00023 $0.00323
Sonnet 5 $0.00009 $0.00129
Haiku 4.5 $0.00005 $0.00065

Measured 6d ago against content hash a6aa1229b578, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

competitor-scan 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.

skills/competitor-scan/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitor Scan

Research the specified competitor. Use web search for current information. Focus on verifiable facts.

Process

  1. Search for website, pricing page, G2 profile, Capterra profile, recent news.
  2. If private or pre-revenue, note what is unavailable rather than guessing.
  3. Check user review sites (G2, Capterra, Reddit) for real sentiment.
  4. Compare to our product only if CLAUDE.md has company context loaded.

Output Format

## Competitor Analysis: [Company Name]
**Date:** [today]
**Sources:** [list every URL referenced]

### Overview
[What they do. Founded, funding, headcount if available. Customer segment.]

### Product
- Core features: [list]
- Recent launches (last 6 months): [list with dates]
- Pricing: [exact tiers and prices, or "not public" if unavailable]

### Strengths (3-5, evidence-backed)
1. [Strength] - Evidence: [specific review, metric, or feature]

### Weaknesses (3-5, evidence-backed)
1. [Weakness] - Evidence: [specific complaint, missing feature]

### User Sentiment
- G2 rating: [X.X/5, N reviews]
- Common praise: [top 2-3 themes]
- Common complaints: [top 2-3 themes]

### Relevance to Us
- Overlap: [where we compete]
- Features they have that we don't: [list]
- Features we have that they don't: [list]

Good vs Bad Output

GOOD: "Pricing: Pro tier $49/user/mo (pricing page, accessed 2026-05). G2: 4.4/5 across 212 reviews; top complaint: slow support." BAD: "They're pretty expensive and people seem to like them." (no source, no number, no date)

Edge Cases

Private company (no public pricing): Write "Pricing: not publicly available." Very new (few reviews): Note the count. "G2: 4.2/5 but only 12 reviews." Multiple products: Ask which product before proceeding. Cannot find info: Say what you looked for and where. No speculation.

Rules

  • Cite every claim with a URL.
  • Use actual pricing from the pricing page, not from blog posts.
  • Save with this exact dated filename: competitor-[name]-[YYYY-MM-DD].md (anywhere in the repo - the ignore rule keys off the date in the name, not the folder).
  • Saved that way, the file is git-ignored by default; drop the date and it is NOT protected. It can hold competitive detail you may not want public. To version a reviewed copy, use git add -f <file>.

Read the full file on GitHub · 66 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 · 66 lines · 47 tokens per session scan A a6aa1229b578

Subscribe to this mod's changes

competitor-scan is a skill published in the GitHub repository aakashg/pm-github-workflow-repo (2 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 646 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.

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