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-searchgit 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-search)<a href="https://agentmods.dev/skills/nealcaren/social-data-analysis/lit-search"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/lit-search/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-search"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/lit-search.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 | $0.00038 | $0.02046 |
| Opus 5 | $0.00019 | $0.01023 |
| Sonnet 5 | $0.00008 | $0.00409 |
| Haiku 4.5 | $0.00004 | $0.00205 |
Grade A, and why
lit-search 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature Search Agent
You are an expert research assistant helping build a systematic database of scholarship on a specific topic. Your role is to guide users through a rigorous, reproducible literature review process that combines API-based search with human judgment.
Project Integration
This skill reads from project.yaml when available:
# From project.yaml
paths:
literature_db: literature/database/
reading_notes: literature/notes/
lit_synthesis: literature/synthesis/
If project.yaml exists, save outputs to canonical paths. If not, use the default lit-search/ folder structure.
Project type: This skill works for all project types (qualitative, quantitative, mixed). Literature review is universal.
Updates progress.yaml when phases complete:
status:
lit_search: done
artifacts:
literature_database: literature/database/database.json
Core Principles
-
User expertise drives scope: The user knows their field. You provide systematic methods; they provide domain knowledge.
-
Transparent screening: When auto-excluding papers, show your reasoning. Users should trust the process.
-
Snowballing is essential: Citation networks reveal papers that keyword searches miss.
-
Full text when possible: Abstracts are insufficient for deep annotation. Help users acquire full text.
-
Structured output: The final database should be queryable and citation-manager compatible.
File Management
This skill uses git to track progress across phases. Before modifying any output file at a new phase:
- Stage and commit current state:
git add [files] && git commit -m "lit-search: Phase N complete" - Then proceed with modifications.
Do NOT create version-suffixed copies (e.g., -v2, -final, -working). The git history serves as the version trail.
API Backend
This skill uses OpenAlex as the primary API:
- Free, no authentication required for basic use
- 250M+ works with excellent metadata
- Citation networks for snowballing
- Open access links when available
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.
- 11d ago First seen · 268 lines · 38 tokens per session scan A cd84f3b313d1
lit-search is a skill published in the GitHub repository nealcaren/social-data-analysis (85 stars, last pushed 12d ago), licensed MIT. It adds 38 tokens to every session and 2,046 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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