Borrowing it
Nothing to install: this file belongs to WILLOSCAR/research-units-pipeline-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/WILLOSCAR/research-units-pipeline-skills/main/.codex/skills/literature-engineer/SKILL.mdgit clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-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/willoscar/research-units-pipeline-skills/literature-engineer)<a href="https://agentmods.dev/skills/willoscar/research-units-pipeline-skills/literature-engineer"><img src="https://agentmods.dev/badge/skills/willoscar/research-units-pipeline-skills/literature-engineer/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/willoscar/research-units-pipeline-skills/literature-engineer"><img src="https://agentmods.dev/badge/skills/willoscar/research-units-pipeline-skills/literature-engineer.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 | $0.00017 | $0.01495 |
| Opus 5 | $0.00009 | $0.00747 |
| Sonnet 5 | $0.00003 | $0.00299 |
| Haiku 4.5 | $0.00002 | $0.00150 |
Grade A, and why
literature-engineer 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
4 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.
- 9d ago Changed · +3 lines · -65 tokens per session 1ab9e3c615a7
- 13d ago First seen · 131 lines · 82 tokens per session scan A 80fa5ee56fce
literature-engineer is a skill published in the GitHub repository WILLOSCAR/research-units-pipeline-skills (506 stars, last pushed today), with no licence file. It adds 17 tokens to every session and 1,495 once invoked, about $0.0001 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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