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-plan)<a href="https://agentmods.dev/commands/lzy599775/agent-auto-sci-skills/ars-plan"><img src="https://agentmods.dev/badge/commands/lzy599775/agent-auto-sci-skills/ars-plan.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 | $0.00019 | $0.00095 |
| Opus 5 | $0.00010 | $0.00048 |
| Sonnet 5 | $0.00004 | $0.00019 |
| Haiku 4.5 | $0.00002 | $0.00010 |
Grade A, and why
ars-plan 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 today.
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.
This is a copy
88% identical to ars-plan — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Trigger the academic-paper skill in plan mode. Produces a Chapter Plan + INSIGHT collection through Socratic dialogue with the user. Originality-spectrum, very-high oversight.
Mode reference: MODE_REGISTRY.md § academic-paper.
Skill entry: academic-paper/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.
- today Changed · +1 lines · +3 tokens per session 06a2242ead0e
- 4d ago First seen · 10 lines · 16 tokens per session scan A 324447995c1a
ars-plan is a command published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 95 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to ars-plan, differing in 3 lines, and is treated as a copy.
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.