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.
git clone --depth 1 https://github.com/LUNARTECH-X/superpowersWrote 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/commands/lunartech-x/superpowers/ars-lit-review)<a href="https://agentmods.dev/commands/lunartech-x/superpowers/ars-lit-review"><img src="https://agentmods.dev/badge/commands/lunartech-x/superpowers/ars-lit-review.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 | $0.00014 | $0.00111 |
| Opus 5 | $0.00007 | $0.00056 |
| Sonnet 5 | $0.00003 | $0.00022 |
| Haiku 4.5 | $0.00001 | $0.00011 |
Grade A, and why
ars-lit-review 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 8d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- arg-lit-review — 95% identical, 2 lines differ
- ars-lit-review — 92% identical, 3 lines differ
What it actually says
Trigger the academic-paper skill in lit-review mode. Produces an annotated bibliography rendered as a literature review section. Fidelity spectrum, medium oversight.
For the upstream research-side literature review (annotated bibliography + synthesis report) prefer the deep-research skill lit-review mode instead.
Mode reference: MODE_REGISTRY.md § academic-paper.
Skill entry: academic-paper/SKILL.md.
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.
- 8d ago First seen · 12 lines · 14 tokens per session scan A 6a166a22e796
ars-lit-review is a command published in the GitHub repository LUNARTECH-X/superpowers (16 stars, last pushed 3mo ago), licensed MIT. It adds 14 tokens to every session and 111 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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