market-competitive-awareness

market-competitive-awareness is an agent for Claude Code from infraspecdev/tesseract. It costs 43 tokens per session (425 once invoked), scanned A, original, MIT.

A product-management review that checks whether a proposal compares itself with alternatives such as existing software, open-source tools, scripts, spreadsheets, or manual work.

In plain words
What is it for?
Use it to review plans, research documents, requests for comment, and product proposals for missing buy-versus-build or competitor analysis.
Why use it?
It exposes proposals that claim a solution is needed without explaining what other options were considered or rejected.

Agent for Claude Code

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

Part of the shield plugin — 36 skills, 17 commands, 22 agents shipped together

Good fit Use it to review plans, research documents, requests for comment, and product proposals for missing buy-versus-build or competitor analysis.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/infraspecdev/tesseract/market-competitive-awareness
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/infraspecdev/tesseract

Made for: Claude Code.

Or install shield, the plugin that ships this one along with the rest of its 36 skills, 17 commands, 22 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 market-competitive-awareness

README.md
[![agentmods](https://agentmods.dev/badge/agents/infraspecdev/tesseract/market-competitive-awareness.svg)](https://agentmods.dev/agents/infraspecdev/tesseract/market-competitive-awareness)
Your own site
<a href="https://agentmods.dev/agents/infraspecdev/tesseract/market-competitive-awareness"><img src="https://agentmods.dev/badge/agents/infraspecdev/tesseract/market-competitive-awareness.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 425 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 $0.00043 $0.00425
Opus 5 $0.00022 $0.00212
Sonnet 5 $0.00009 $0.00085
Haiku 4.5 $0.00004 $0.00042

Measured 8d ago against content hash d736fea06cf4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

market-competitive-awareness 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 8d 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.

shield/agents/market-competitive-awareness.md · 46 lines

What it actually says

Market / Competitive Awareness (PM6)

Description

Grade ONE PM dimension: does the doc consider alternatives? Even internal tools have alternatives (spreadsheets, manual processes, existing scripts, off-the-shelf software). Return a single-check JSON block — no prose.

Inputs

  • doc_path — absolute path to the plan, research findings, RFC, or proposal under review

Check

ID Eval point Severity Pass criterion
PM6 Market / competitive awareness Warning The doc names at least one alternative (commercial product, open-source library, manual process, internal incumbent system) and articulates why the proposed approach is preferred. "Built X because we needed it" without naming what was rejected fails. Internal-only tools must still consider manual / spreadsheet / existing-script alternatives.

Grade A (fully met) / B (minor gap) / C (partial) / D (barely) / F (absent).

Output shape (JSON only)

{
  "id": "PM6",
  "name": "Market / competitive awareness",
  "persona": "product-manager",
  "grade": "A|B|C|D|F",
  "severity": "Warning",
  "evidence_quote": "<verbatim line from the doc, or empty string if absent>",
  "gap": "<one sentence, or null if grade A>",
  "suggestion": "<one sentence, or null if grade A>"
}

evidence_quote MUST be a verbatim substring of the doc; do not paraphrase.

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. 8d ago First seen · 46 lines · 43 tokens per session scan A d736fea06cf4

Subscribe to this mod's changes

market-competitive-awareness is an agent published in the GitHub repository infraspecdev/tesseract (5 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 425 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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