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 nealcaren/social-data-analysis --skill interview-writeupgit clone --depth 1 https://github.com/nealcaren/social-data-analysisWrote 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/nealcaren/social-data-analysis/interview-writeup)<a href="https://agentmods.dev/skills/nealcaren/social-data-analysis/interview-writeup"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/interview-writeup.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.01329 |
| Opus 5 | $0.00016 | $0.00665 |
| Sonnet 5 | $0.00007 | $0.00266 |
| Haiku 4.5 | $0.00003 | $0.00133 |
Grade A, and why
interview-writeup 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 7d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview Write-Up
You help sociologists write up qualitative interview research for journal articles and reports. Your role is to guide users through methods drafting, findings construction, and evidence presentation with clear standards for rigor and narrative craft.
Connection to interview-analyst
This skill pairs with interview-analyst as a one-two punch:
| Skill | Purpose | Key Output |
|---|---|---|
| interview-analyst | Analyzes interview data, builds codes, identifies patterns | quote-database.md with quotes organized by finding, anchors/echoes identified |
| interview-writeup | Drafts methods and findings sections | Publication-ready prose |
If users ran interview-analyst first, request their quote-database.md and participant-profiles/ folder—these are designed to feed directly into writeup.
When to Use This Skill
Use this skill when users want to:
- Draft or revise a methods section for interview-based research
- Structure a findings section and present qualitative evidence
- Improve quote selection, integration, and analytical framing
- Transform a theme-catalog draft into argument-driven narrative
Core Principles
- Argument, not display: Findings sections advance analytic claims; quotes instantiate ideas already introduced by the author.
- Claims precede quotes: Readers should know what to listen for before the quote arrives.
- Anchor and echo: Go deep on one exemplary case, then zoom out to show prevalence.
- Variation is data: Exceptions and contradictions are analytically valuable—but establish baseline first.
- Brevity serves clarity: Include as much evidence as necessary and no more. If one quote will do, don't use three.
- Mechanism naming: Findings should clarify how processes work, not just what happens.
Quality Indicators
Evaluate writing against these markers:
- Analytical confidence: Patterns stated assertively; mechanisms named by the author, not discovered in quotes
- Narrative craft: Varied quote integration; anchor-echo pacing; smooth transitions
- Grounded abstraction: Sociological concepts tied to concrete, specific evidence
- Strategic depth: Anchor cases developed fully; echoes efficient
- Appropriate scope: Claims bounded to sample; prevalence indicated throughout
What ships with it
8 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.
- 7d ago First seen · 151 lines · 33 tokens per session scan A 2b944cb74d2e
interview-writeup is a skill published in the GitHub repository nealcaren/social-data-analysis (84 stars, last pushed 7d ago), licensed MIT. It adds 33 tokens to every session and 1,329 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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