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.
npx skills add AlpacaLabsLLC/skills-for-architects --skill product-pairgit clone --depth 1 https://github.com/AlpacaLabsLLC/skills-for-architectsWrote 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.
[](https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/product-pair)<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/product-pair"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/product-pair/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.
<a href="https://agentmods.dev/skills/alpacalabsllc/skills-for-architects/product-pair"><img src="https://agentmods.dev/badge/skills/alpacalabsllc/skills-for-architects/product-pair.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.01595 |
| Opus 5 | $0.00026 | $0.00797 |
| Sonnet 5 | $0.00010 | $0.00319 |
| Haiku 4.5 | $0.00005 | $0.00160 |
Grade A, and why
product-pair scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/as:product-pair — Product Pairing
Harness note: use
/as:<skill>on Claude Code and$<skill>on Codex. Resolve<skill-root>as the directory containing this loadedSKILL.mdand<plugin-root>as the plugin root that containsskills/, and use equivalent native tools when host tool names differ.
"What goes with this?" Takes a product and suggests complementary items across different categories — a side table for a sofa, a floor lamp for a reading chair, a rug for a dining table. Returns 5-8 pairings with reasoning rooted in design principles.
When to Use
- Building out a room or vignette from a hero piece
- Designer has a key product and needs to complete the palette
- Presenting a coordinated product package to a client
- Filling gaps in an FF&E schedule by category
Step 1: Accept Input
By name:
/as:product-pair Blu Dot Diplomat Sofa
By name + context:
/as:product-pair Blu Dot Diplomat Sofa for a tech office lounge
By product details:
/as:product-pair
Name: Diplomat Sofa
Brand: Blu Dot
Materials: Steel frame, fabric upholstery
Color: Edwards Navy
Style: Contemporary, minimal
Price: $2,499
Context: Corporate lounge, 6-person seating area
Step 2: Analyze the Source Product
Identify the product's design DNA:
- Style language: Mid-century, Scandinavian, industrial, contemporary, etc.
- Material palette: Wood type, metal finish, upholstery type
- Color family: Warm neutrals, cool tones, bold accent, monochrome
- Scale: Compact/apartment, standard, generous/commercial
- Price tier: Budget (<$500), mid-range ($500-$2,000), premium ($2,000-$5,000), luxury ($5,000+)
- Market: Residential, contract, hospitality
Step 3: Determine Pairing Categories
Based on the source product's category, identify what typically pairs with it:
| Source Category | Pair With |
|---|---|
| Sofa | Coffee table, side table, floor lamp, throw pillow, rug, ottoman |
| Lounge Chair | Side table, floor lamp, ottoman, throw |
| Dining Table | Dining chairs, pendant light, sideboard, rug |
| Desk | Task chair, desk lamp, monitor arm, desk organizer |
| Bed | Nightstands, table lamps, bench, rug, dresser |
| Conference Table | Conference chairs, credenza, pendant/linear light |
| Task Chair | Desk, monitor arm, task light |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 161 lines · 52 tokens per session scan A 096d17160337
product-pair is a skill published in the GitHub repository AlpacaLabsLLC/skills-for-architects (353 stars, last pushed 8d ago), licensed MIT. It adds 52 tokens to every session and 1,595 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 2026-08-30.
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