target

target is a skill for Claude Code, Codex from AgentComputerAI/torch. It costs 87 tokens per session (1,987 once invoked), scanned A, original, MIT.

A guide for collecting product search results from Target's online store. It calls Target's public product-listing data service directly instead of loading the main website.

In plain words
What is it for?
Use it to retrieve Target search or category products with pagination information from the public listing endpoint.
Why use it?
It avoids the website's bot protection, browser rendering, cookies, and login requirements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to retrieve Target search or category products with pagination information from the public listing endpoint.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentcomputerai/torch/target
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.

Any agent
npx skills add AgentComputerAI/torch --skill target
Clone the repo
git clone --depth 1 https://github.com/AgentComputerAI/torch

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 target

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentcomputerai/torch/target/github.svg)](https://agentmods.dev/skills/agentcomputerai/torch/target)
Your own site
<a href="https://agentmods.dev/skills/agentcomputerai/torch/target"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/target/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 target

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentcomputerai/torch/target"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/target.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,987 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00087 $0.01987
Opus 5.5 $0.00035 $0.00795
Sonnet 5.5 $0.00017 $0.00397
Haiku 4.5 $0.00009 $0.00199

Measured 1mo ago against content hash 436cfac93af2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

target scanned grade A with 1 finding 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Phase 0**: `curl https://www.target.com/s?searchTerm=headphones` returned the SPA shell with the full `window.__CONFIG__` JSON — extracted the redsky endpoint and apiKey from there.
skills/sites/target/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Target (target.com)

Target's public website (www.target.com) is a Next.js SPA wrapped in HumanSecurity (PerimeterX) bot scoring — a dead end for fetch. But the underlying data API, redsky.target.com, is wide open: no auth, no cookies, no anti-bot, just a static key query param. Replay plp_search_v2 directly and you get full search/category listings with pagination metadata, 24 items per page, no browser needed.

Detection

Signal Value
Framework Next.js (top-of-funnel app)
CDN Akamai + custom
Anti-bot (HTML) HumanSecurity / PerimeterX (PXGWPp4wUS)
Anti-bot (API) None
Auth required No
robots.txt Disallows /s, /c/ for most crawlers — ignore, API is separate host

Architecture

  • www.target.com/s?searchTerm=X is a Next.js page that client-hydrates product data from redsky.target.com.
  • The API endpoint is https://redsky.target.com/redsky_aggregations/v1/web/plp_search_v2.
  • It's a GraphQL-backed aggregation service exposed as a REST-ish GET. The full list of aggregation endpoints leaks in window.__CONFIG__ on any target.com page (search redsky_aggregations in the HTML).
  • The API key 9f36aeafbe60771e321a7cc95a78140772ab3e96 is hardcoded into the SPA config — it's the public defaultServicesApiKey and has been stable for years.

Strategy used

  • Phase 0: curl https://www.target.com/s?searchTerm=headphones returned the SPA shell with the full window.__CONFIG__ JSON — extracted the redsky endpoint and apiKey from there.
  • Phase 1: Hit redsky.target.com/redsky_aggregations/v1/web/plp_search_v2 directly → clean JSON, zero blocking. Skipped browser entirely.
  • Phase 2: Not needed.

Endpoint

GET https://redsky.target.com/redsky_aggregations/v1/web/plp_search_v2

Required query params

Param Value Notes
key 9f36aeafbe60771e321a7cc95a78140772ab3e96 Hardcoded public key
channel WEB
count 24 Max items per page. 24 is the UI default; larger values appear to cap.
offset 0 Pagination: (page - 1) * count
keyword headphones Search term (for /s)
page /s/headphones Must match keyword; used for analytics
platform desktop
pricing_store_id 2766 Any valid store ID works. 2766 = SF Central.
visitor_id 0000000000000000 Can be zeros
zip 94104 Any US zip
default_purchasability_filter true
include_sponsored false Set to false — true triggers a sponsored-search backend error and returns HTTP 206 with errors (but data still comes through, so it also works).

Read the full file on GitHub · 159 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. 1mo ago First seen · 159 lines · 87 tokens per session scan A 436cfac93af2

Subscribe to this mod's changes

target is a skill published in the GitHub repository AgentComputerAI/torch (5 stars, last pushed 6mo ago), licensed MIT. It adds 87 tokens to every session and 1,987 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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