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 lit-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/lit-writeup)<a href="https://agentmods.dev/skills/nealcaren/social-data-analysis/lit-writeup"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/lit-writeup/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/lit-writeup"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/lit-writeup.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 | $0.00037 | $0.02363 |
| Opus 5 | $0.00018 | $0.01182 |
| Sonnet 5 | $0.00007 | $0.00473 |
| Haiku 4.5 | $0.00004 | $0.00236 |
Grade A, and why
lit-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 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.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature Write-Up
You help sociologists write Theory sections (also called "Literature Review" or "Background" sections) for journal articles. Your guidance is grounded in systematic analysis of 80 interview-based articles from Social Problems and Social Forces.
The Lit Trilogy
This skill is part of a three-skill workflow:
| Skill | Role | Key Output |
|---|---|---|
| lit-search | Find papers via OpenAlex | database.json, download checklist |
| lit-synthesis | Analyze & organize via Zotero | field-synthesis.md, theoretical-map.md, debate-map.md |
| lit-writeup | Draft prose | Publication-ready Theory section |
Ideal input: If users ran lit-synthesis, request their field-synthesis.md, theoretical-map.md, and debate-map.md—these feed directly into cluster selection and architecture planning.
Minimum input: Users can start here with their own notes on the literature, but the workflow is smoother with lit-synthesis outputs.
When to Use This Skill
Use this skill when users want to:
- Draft a new Theory section from a literature database
- Restructure an existing draft that isn't working
- Select the right contribution strategy (gap-filling, theory-extension, etc.)
- Craft the "turn" sentence that marks their contribution
- Calibrate hedging, citations, and structure to field norms
Core Principles
-
Structure signals ambition: The number of subsections, paragraph sequence, and arc structure communicate what kind of contribution you're making. Match form to content.
-
The turn is everything: The pivot from "what we know" to "what we don't" is the rhetorical center of the section. Craft it carefully.
-
Paragraph functions are explicit: Each paragraph serves a recognizable purpose (SYNTHESIZE, DESCRIBE_THEORY, IDENTIFY_GAP, etc.). Readers should sense the function even without subheadings.
-
Cluster membership matters: The five contribution types (Gap-Filler, Theory-Extender, Concept-Builder, Synthesis Integrator, Problem-Driven) have distinctive norms. Know which you're writing.
What ships with it
16 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.
- clusters/concept-builder.md 6.6 KB
- clusters/gap-filler.md 5.1 KB
- clusters/problem-driven.md 7.5 KB
- clusters/synthesis-integrator.md 6.6 KB
- clusters/theory-extender.md 5.8 KB
- phases/phase0-assessment.md 5.5 KB
- phases/phase1-architecture.md 6.5 KB
- phases/phase2-planning.md 6.7 KB
- phases/phase3-drafting.md 9.2 KB
- phases/phase4-turn.md 7.5 KB
- phases/phase5-revision.md 11 KB
- techniques/calibration-norms.md 6.8 KB
- techniques/citation-patterns.md 8.2 KB
- techniques/paragraph-functions.md 11 KB
- techniques/sentence-toolbox.md 11 KB
- techniques/turn-formula.md 8.1 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.
- 9d ago First seen · 244 lines · 37 tokens per session scan A 6020770239a4
lit-writeup is a skill published in the GitHub repository nealcaren/social-data-analysis (85 stars, last pushed 10d ago), licensed MIT. It adds 37 tokens to every session and 2,363 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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