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/Lzy599775/agent-auto-sci-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/commands/lzy599775/agent-auto-sci-skills/ars-3w)<a href="https://agentmods.dev/commands/lzy599775/agent-auto-sci-skills/ars-3w"><img src="https://agentmods.dev/badge/commands/lzy599775/agent-auto-sci-skills/ars-3w.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 | $0.00024 | $0.00140 |
| Opus 5 | $0.00012 | $0.00070 |
| Sonnet 5 | $0.00005 | $0.00028 |
| Haiku 4.5 | $0.00002 | $0.00014 |
Grade A, and why
ars-3w 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 yesterday.
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.
What it actually says
Trigger the deep-research skill in three-way-scan mode. Produces a compact paper shortlist compared by WHY / HOW / WHAT plus a cross-paper synthesis (common WHY, divergent HOW, strongest WHAT, unresolved gap). Lighter than lit-review; escalate to lit-review / systematic-review for full coverage. Fidelity spectrum, low oversight.
Mode reference: MODE_REGISTRY.md § deep-research.
Skill entry: deep-research/WORKFLOW.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.
- yesterday Changed · +1 lines · +5 tokens per session 0242fcf17276
- 4d ago First seen · 10 lines · 19 tokens per session scan A 46b0cd79c683
ars-3w is a command published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 140 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 2026-09-03.
Other commands, from other repositories
ars-lit-review
ARS academic-paper lit-review mode — annotated bibliography in paper format.
ars-3w
ARS deep-research three-way-scan mode — WHY / HOW / WHAT paper comparison.
memory-forget
Command "memory-forget" from waittim/MemoryCustodian, covering memory-forget and review the preview, then apply its plan id.
setup-code-intelligence
Check code-intelligence prerequisites (ripgrep + a language server) and print install hints.
ars-cache-invalidate
ARS /ars-cache-invalidate — drop cached verification entries for a citation key.
ars-unmark-read
ARS /ars-unmark-read — rescind a prior human-read mark for one or more citation keys.