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 memi-design/design-skills --skill information-architecturegit clone --depth 1 https://github.com/memi-design/design-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/memi-design/design-skills/information-architecture)<a href="https://agentmods.dev/skills/memi-design/design-skills/information-architecture"><img src="https://agentmods.dev/badge/skills/memi-design/design-skills/information-architecture/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/memi-design/design-skills/information-architecture"><img src="https://agentmods.dev/badge/skills/memi-design/design-skills/information-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00045 | $0.00532 |
| Opus 5 | $0.00023 | $0.00266 |
| Sonnet 5 | $0.00009 | $0.00106 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
information-architecture 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 11d 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Information Architecture
Create a structure that makes location, meaning, and movement predictable. Do not use visual hierarchy to conceal an unresolved taxonomy.
Inputs
Collect representative content and objects, top user tasks, entry points, current navigation, search behavior, terminology, permissions, scale expectations, and analytics or research evidence. Sample real long-tail content, not only ideal examples.
Workflow
- Inventory the domain. List content types, objects, attributes, relationships, owners, lifecycle, and access rules. Flag duplicates and orphaned material.
- Prioritize retrieval tasks. Identify what users need to find, compare, understand, or act on, including frequency and consequence.
- Elicit mental models. Use interviews, search queries, support language, card sorting, and observed behavior. Separate internal organization language from user language.
- Define the taxonomy. Create mutually understandable categories and facets. State inclusion rules, exclusions, synonyms, and governance ownership.
- Choose navigation patterns. Match global, local, contextual, utility, and sequential navigation to task relationships. Avoid using nesting as the default solution.
- Design labels. Prefer specific, familiar, parallel labels. Test ambiguous terms in context and provide disambiguation where categories overlap.
- Design retrieval. Decide when browsing, search, filtering, sorting, saved views, or recommendations are appropriate. Define searchable fields and useful zero-result recovery.
- Model growth and permissions. Test deep content, large counts, role differences, localization, archived states, and future object types.
- Validate. Use tree testing for findability, card sorting for grouping, first-click tests for orientation, and task-based usability tests for the complete experience.
Output contract
Return:
- domain inventory and object relationships;
- prioritized retrieval tasks;
- taxonomy with category rules and synonyms;
- navigation map;
- search, filter, and sorting model;
- labeling decisions;
- validation plan and governance owner.
What ships with it
2 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.
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.
- 11d ago First seen · 43 lines · 45 tokens per session scan A 6b7be4b22058
information-architecture is a skill published in the GitHub repository memi-design/design-skills (7 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 532 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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