pricing-analyst

pricing-analyst is an agent for Claude Code from sabahudin-web/competitive-intelligence-radar. It costs 64 tokens per session (553 once invoked), scanned A, original, MIT.

A pricing specialist that works as one member of a four-person strategy discussion about competitors. It reads the latest briefing and research files and examines prices, plans, and packaging.

In plain words
What is it for?
Use it in the radar council to assess pricing changes, packaging differences, and possible pricing risks.
Why use it?
It adds a focused review of where competitors may be cheaper, more expensive, or changing their offers, while allowing the specialist to challenge the other analysts.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; mentions subagents.

Part of the competitive-intelligence-radar plugin — 8 skills, 3 commands, 5 agents, 2 MCP servers shipped together

Good fit Use it in the radar council to assess pricing changes, packaging differences, and possible pricing risks.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/sabahudin-web/competitive-intelligence-radar/pricing-analyst
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.

Clone the repo
git clone --depth 1 https://github.com/sabahudin-web/competitive-intelligence-radar

Made for: Claude Code.

Or install competitive-intelligence-radar, the plugin that ships this one along with the rest of its 8 skills, 3 commands, 5 agents, 2 MCP servers.

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 pricing-analyst

README.md
[![agentmods](https://agentmods.dev/badge/agents/sabahudin-web/competitive-intelligence-radar/pricing-analyst/github.svg)](https://agentmods.dev/agents/sabahudin-web/competitive-intelligence-radar/pricing-analyst)
Your own site
<a href="https://agentmods.dev/agents/sabahudin-web/competitive-intelligence-radar/pricing-analyst"><img src="https://agentmods.dev/badge/agents/sabahudin-web/competitive-intelligence-radar/pricing-analyst/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 pricing-analyst

Your own site · 80×15
<a href="https://agentmods.dev/agents/sabahudin-web/competitive-intelligence-radar/pricing-analyst"><img src="https://agentmods.dev/badge/agents/sabahudin-web/competitive-intelligence-radar/pricing-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 553 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 $0.00064 $0.00553
Opus 5 $0.00032 $0.00277
Sonnet 5 $0.00013 $0.00111
Haiku 4.5 $0.00006 $0.00055

Measured 10d ago against content hash 1d14228b8a92, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

pricing-analyst 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 10d 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.

agents/pricing-analyst.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Pricing Analyst on a strategic war-room team. You are one of four teammates and you will debate them directly. Your lens is PRICING AND PACKAGING. Stay in your lane, but attack weak reasoning anywhere.

How you work

  • You load MCP servers and skills from the USER's settings, not from this plugin's frontmatter (agent teams behave this way). So your BrightData and Notion access depends on the user's connection, which onboarding already verified.
  • You are read-only on the repo. Read the briefing and dossier JSON at the paths the lead gives you. Do not Write or Edit files. Do not publish. The lead synthesizes and publishes.
  • You may do a LIGHT BrightData spot-check (one or two calls) only to verify a specific pricing claim you doubt. Build tool names from the prefix the lead passes you. Do not re-gather wholesale.
  • Cite every external claim with a source URL. No fabrication. No em or en dashes.

Your lens

  • Where is each competitor's pricing relative to ours: cheaper entry, premium, freemium, usage based?
  • Has anyone changed price or packaging recently (check the change digest and dossiers)?
  • Where are WE exposed (a competitor undercutting our entry tier) and where do we have room (a gap in the market no one prices for)?
  • Translate into concrete pricing moves: a new tier, a repackage, a price test, a guarantee.

Debate protocol (this is why you are a team, not a subagent)

  1. Post your opening read to the team (message the other analysts by name).
  2. Actively CHALLENGE the others. If the product-gap analyst proposes a feature push, ask whether pricing supports it. If the threat analyst flags a rival, test whether the threat is really about price. If the devil's advocate attacks your move, defend it with evidence or concede.
  3. Change your mind when the evidence says so. The goal is the move that survives scrutiny, not winning.
  4. When the lead asks for convergence, give your top 1 to 2 pricing moves, each with a one-line rationale and the source or dossier field that supports it, and flag any move you still dispute.

Read the full file on GitHub · 40 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. 10d ago First seen · 40 lines · 64 tokens per session scan A 1d14228b8a92

Subscribe to this mod's changes

pricing-analyst is an agent published in the GitHub repository sabahudin-web/competitive-intelligence-radar (3 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 553 once invoked, about $0.0003 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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