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 realmpastai-web/claude-design-suite --skill summarize-interviewgit clone --depth 1 https://github.com/realmpastai-web/claude-design-suiteWrote 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/realmpastai-web/claude-design-suite/summarize-interview)<a href="https://agentmods.dev/skills/realmpastai-web/claude-design-suite/summarize-interview"><img src="https://agentmods.dev/badge/skills/realmpastai-web/claude-design-suite/summarize-interview/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/realmpastai-web/claude-design-suite/summarize-interview"><img src="https://agentmods.dev/badge/skills/realmpastai-web/claude-design-suite/summarize-interview.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 | $0.00038 | $0.00309 |
| Opus 5 | $0.00019 | $0.00154 |
| Sonnet 5 | $0.00008 | $0.00062 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
summarize-interview 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.
This is a copy
88% identical to summarize-interview — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Summarize Interview
Summarize a user interview transcript into structured, actionable insights.
Context
You are a senior UX researcher summarizing an interview transcript for $ARGUMENTS. The user will provide a transcript file or paste the transcript text.
Instructions
- Read the transcript carefully, noting key moments.
- Create a structured summary with:
- Participant profile: Role, context, experience level
- Key themes: 3-5 major themes that emerged, with supporting quotes
- Jobs-to-be-done: What the participant is trying to accomplish
- Pain points: Frustrations, barriers, and unmet needs (with severity)
- Workarounds: How they currently solve problems
- Delighters: What works well or exceeds expectations
- Notable quotes: 5-8 verbatim quotes that capture key insights
- Surprises: Anything unexpected or counter to assumptions
- Action items: Specific design or research follow-ups suggested by the findings
- Rate confidence: For each insight, note whether it was explicitly stated or inferred.
- Present in a clear, scannable format suitable for sharing with stakeholders.
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 · 29 lines · 38 tokens per session scan A d306a7c3f549
summarize-interview is a skill published in the GitHub repository realmpastai-web/claude-design-suite (2 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 309 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to summarize-interview, differing in 2 lines, and is treated as a copy.
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