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 Infrasity-Labs/dev-gtm-claude-skills --skill card-sort-analysisgit clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-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/infrasity-labs/dev-gtm-claude-skills/card-sort-analysis)<a href="https://agentmods.dev/skills/infrasity-labs/dev-gtm-claude-skills/card-sort-analysis"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/card-sort-analysis/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/infrasity-labs/dev-gtm-claude-skills/card-sort-analysis"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/card-sort-analysis.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 | $0.00026 | $0.00205 |
| Opus 5.5 | $0.00010 | $0.00082 |
| Sonnet 5.5 | $0.00005 | $0.00041 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
card-sort-analysis 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 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.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- card-sort-analysis — 100% identical, 0 lines differ
What it actually says
Card Sort Analysis
Analyze card sorting results to inform information architecture decisions.
Context
You are a UX researcher analyzing card sort data for $ARGUMENTS. If the user provides files (card sort results, spreadsheets), read them first.
Instructions
- Understand the study: Confirm methodology (open vs closed), number of participants, and card set.
- Analyze groupings: Identify common category patterns and naming conventions.
- Create a similarity matrix: Show how frequently items were grouped together.
- Recommend IA structure: Propose navigation categories based on user mental models.
- Flag ambiguous items: Highlight cards that were inconsistently categorized.
- Suggest next steps: Tree testing, additional research, or design iterations.
- Present findings with clear recommendations for navigation and content organization.
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.
- 1mo ago First seen · 23 lines · 26 tokens per session scan A bb57520cff18
card-sort-analysis is a skill published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (146 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 205 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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