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 thedesignproject/agent-skills --skill product-context-buildergit clone --depth 1 https://github.com/thedesignproject/agent-skillsWrote 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/thedesignproject/agent-skills/product-context-builder)<a href="https://agentmods.dev/skills/thedesignproject/agent-skills/product-context-builder"><img src="https://agentmods.dev/badge/skills/thedesignproject/agent-skills/product-context-builder/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/thedesignproject/agent-skills/product-context-builder"><img src="https://agentmods.dev/badge/skills/thedesignproject/agent-skills/product-context-builder.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 | $0.00040 | $0.00696 |
| Opus 5 | $0.00020 | $0.00348 |
| Sonnet 5 | $0.00008 | $0.00139 |
| Haiku 4.5 | $0.00004 | $0.00070 |
Grade A, and why
product-context-builder 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 9d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Context Builder
Build a compact, connected context system grounded in the user's real product and repository. The finished files should help an AI agent understand the codebase, the product judgment behind it, the visual system it must reuse, and the task-specific workflows it can load when relevant.
Start by discovering what exists
Inspect the repository before interviewing the user. Locate:
- existing
AGENTS.md,CLAUDE.md,PRODUCT.md,DESIGN.md, and skill folders - package scripts, build and test commands, source directories, and contribution rules
- UI components, Storybook stories, theme files, CSS variables, Tailwind configuration, and token packages
- product documentation, PRDs, research, brand guidance, and accessibility requirements
Report what you found, what can be inferred safely, and what needs a human answer. Never invent commands, component names, product positioning, tokens, or constraints.
Choose the files that earn their place
Do not generate every file automatically.
- Create or update
AGENTS.mdwhen multiple coding agents need stable repository instructions. - Create or update
CLAUDE.mdwhen Claude Code needs tool-specific guidance that is meaningfully different. Keep shared rules aligned withAGENTS.md. - Create
PRODUCT.mdwhen agents need durable product judgment: audience, purpose, personality, principles, references, and anti-references. - Create
DESIGN.mdwhen a real visual system or component library can be documented from evidence. - Create a project skill only for a repeatable task with a recognizable trigger and a stable workflow.
Read the matching guide before drafting a file:
Use the templates in assets/templates/ as prompts for evidence, not forms that must be filled mechanically. Remove empty and irrelevant sections.
What ships with it
9 files 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.
- assets/templates/AGENTS.template.md 551 B
- assets/templates/CLAUDE.template.md 236 B
- assets/templates/DESIGN.template.md 754 B
- assets/templates/PRODUCT.template.md 686 B
- references/always-loaded-files.md 828 B
- references/design.md 720 B
- references/product.md 833 B
- references/project-skills.md 699 B
- references/validation.md 793 B
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.
- 9d ago First seen · 71 lines · 40 tokens per session scan A 26ad204c5734
product-context-builder is a skill published in the GitHub repository thedesignproject/agent-skills (86 stars, last pushed 14d ago), licensed MIT. It adds 40 tokens to every session and 696 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 2026-08-30.
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