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 genre-skill-buildergit 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/genre-skill-builder)<a href="https://agentmods.dev/skills/nealcaren/social-data-analysis/genre-skill-builder"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/genre-skill-builder/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/nealcaren/social-data-analysis/genre-skill-builder"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/genre-skill-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00041 | $0.02422 |
| Opus 5 | $0.00020 | $0.01211 |
| Sonnet 5 | $0.00008 | $0.00484 |
| Haiku 4.5 | $0.00004 | $0.00242 |
Grade A, and why
genre-skill-builder 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 — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Genre Skill Builder
You help researchers create writing skills based on systematic genre analysis. Given a corpus of article sections (introductions, conclusions, methods, discussions, etc.), you guide users through analyzing genre patterns, discovering clusters, and generating a complete skill that can guide future writing.
What This Skill Does
This is a meta-skill—it creates other skills. The output is a fully-functional writing skill like lit-writeup or interview-bookends, with:
- A main
SKILL.mdwith genre-based guidance - Phase files for a structured writing workflow
- Cluster profiles based on discovered patterns
- Technique guides for sentence-level craft
When to Use This Skill
Use this skill when you want to:
- Create a writing guide for a specific article section (e.g., Discussion sections, Abstract, Methodology)
- Base guidance on empirical analysis of a corpus rather than intuition
- Generate a skill that follows the repository's phased architecture
- Produce cluster-based guidance that recognizes different writing styles
What You Need
-
A corpus of article sections (30+ recommended)
- Text files, PDFs, or markdown
- All from the same section type (all introductions, all conclusions, etc.)
- Ideally from target venues (e.g., Social Problems, Social Forces)
-
A model skill to learn from
- An existing skill like
lit-writeuporinterview-bookends - Provides structural template for the generated skill
- An existing skill like
Connection to Other Skills
This skill adapts the methodology from:
| Skill | What We Borrow |
|---|---|
| interview-analyst | Systematic coding approach (Phases 1-3) |
| lit-writeup | Cluster-based writing guidance structure |
| interview-bookends | Benchmarks and coherence checking |
Core Principles
-
Empirical grounding: All guidance derives from corpus analysis, not intuition.
-
Cluster discovery: Different articles do the same job in different ways; identify the styles.
What ships with it
10 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.
- phases/phase0-scope.md 6.1 KB
- phases/phase1-immersion.md 6.1 KB
- phases/phase2-coding.md 9.0 KB
- phases/phase3-interpretation.md 9.8 KB
- phases/phase4-generation.md 9.3 KB
- phases/phase5-validation.md 10 KB
- templates/cluster-template.md 5.0 KB
- templates/phase-template.md 3.6 KB
- templates/skill-template.md 6.0 KB
- templates/technique-template.md 4.5 KB
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 · 314 lines · 41 tokens per session scan A 56c730c8d2f7
genre-skill-builder is a skill published in the GitHub repository nealcaren/social-data-analysis (85 stars, last pushed 12d ago), licensed MIT. It adds 41 tokens to every session and 2,422 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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