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 Stijnman/grok-custom-skills --skill research-interview-synthesisgit clone --depth 1 https://github.com/Stijnman/grok-custom-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/stijnman/grok-custom-skills/research-interview-synthesis)<a href="https://agentmods.dev/skills/stijnman/grok-custom-skills/research-interview-synthesis"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/research-interview-synthesis/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/stijnman/grok-custom-skills/research-interview-synthesis"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/research-interview-synthesis.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 | $0.00043 | $0.00443 |
| Opus 5 | $0.00022 | $0.00221 |
| Sonnet 5 | $0.00009 | $0.00089 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
research-interview-synthesis 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.
What it actually says
Research Interview Synthesis
Purpose
Turn multiple user-research conversations into a traceable synthesis that distinguishes what participants said from the team’s interpretation and recommendations.
Workflow
- Confirm the research question, participant count, recruitment context, and available materials.
- Remove or replace direct identifiers unless they are essential and authorized for the requested audience.
- Code observations by topic while preserving participant IDs and source references.
- Identify recurring patterns, notable exceptions, and areas of disagreement; do not treat frequency as proof of importance.
- Draft insights that state the evidence, interpretation, confidence, and limitations separately.
- Propose research or product actions that tie back to specific findings.
- Deliver a research overview, themes, representative attributed excerpts, insights, recommendations, and limitations.
Evidence rules
Use verbatim quotations only when they are present in the source and safe to share. Do not fabricate quotes, merge comments into a false quotation, or infer prevalence from a small convenience sample. Label tentative findings clearly.
Output format
For each theme, include: evidence, interpretation, confidence, representative participant IDs, and implication. End with open questions and the recommended next research step.
Error handling
| Situation | Response |
|---|---|
| Fewer than three research conversations | Produce an exploratory summary, not a pattern claim. |
| Notes are incomplete | Separate direct evidence from inference and list the missing data. |
| Sensitive personal data is present | Redact or generalize it before preparing a shareable report. |
| Stakeholders request certainty not supported by data | State the limitation and propose a validation method. |
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 · 44 lines · 43 tokens per session scan A 4000b4bed0b5
research-interview-synthesis is a skill published in the GitHub repository Stijnman/grok-custom-skills (9 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 443 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 2026-09-03.
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