Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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-disclosure)<a href="https://agentmods.dev/commands/lzy599775/agent-auto-sci-skills/ars-disclosure"><img src="https://agentmods.dev/badge/commands/lzy599775/agent-auto-sci-skills/ars-disclosure/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/commands/lzy599775/agent-auto-sci-skills/ars-disclosure"><img src="https://agentmods.dev/badge/commands/lzy599775/agent-auto-sci-skills/ars-disclosure.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 | $0.00021 | $0.00339 |
| Opus 5.5 | $0.00008 | $0.00136 |
| Sonnet 5.5 | $0.00004 | $0.00068 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
ars-disclosure 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 12d 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.
This is a copy
92% identical to ars-disclosure — 14 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
First invoke the Skill tool with skill: "academic-research-skills:academic-paper". Pass the mode and the user's request described below as its arguments. Use the loaded skill and its supporting files before producing the result.
Trigger the academic-paper skill in standalone disclosure mode. Agent 9 must load ${CLAUDE_PLUGIN_ROOT}/academic-paper/references/disclosure_mode_protocol.md before rendering; the generic formatter disclosure is not a fallback. The default venue path returns REQUIRED, ACTION_ONLY, NOT_REQUIRED, or UNKNOWN applicability plus an explicit typed halt status when needed (15 policy targets supported: ICLR / NeurIPS / Nature / Science / ACL / EMNLP plus medical-publishing targets — ICMJE / NEJM / The Lancet / JAMA / BMJ / PLOS / Frontiers / publisher-wide 中华护理杂志社 / journal-level 国际眼科杂志). The --policy-anchor path uses its separate anchor-specific renderer. Fidelity spectrum, low oversight.
Mode reference: ${CLAUDE_PLUGIN_ROOT}/MODE_REGISTRY.md § academic-paper.
Skill entry: ${CLAUDE_PLUGIN_ROOT}/academic-paper/WORKFLOW.md.
Resolve plugin resources from ${CLAUDE_PLUGIN_ROOT}, not from the paper project's working directory. If the skill or a required file cannot be loaded, report the loading failure and stop; do not substitute this command summary for the mode instructions.
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.
- 12d ago Changed · +5 lines 3aa797a241b4
- 1mo ago Changed · +1 lines · +6 tokens per session 2d4724d5bb5e
- 1mo ago First seen · 10 lines · 15 tokens per session scan A 2ecd6915c2cb
ars-disclosure is a command published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 8d ago), licensed MIT. It adds 21 tokens to every session and 339 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to ars-disclosure, differing in 14 lines, and is treated as a copy.
Other commands, from other repositories
ars-plan
ARS academic-paper plan mode — Socratic chapter-by-chapter planning.
setup-code-intelligence
Check code-intelligence prerequisites (ripgrep + a language server) and print install hints.
memory-forget
Command "memory-forget" from waittim/MemoryCustodian, covering memory-forget and review the preview, then apply its plan id.
ars-cache-invalidate
ARS /ars-cache-invalidate — drop cached verification entries for a citation key.
ars-abstract
ARS academic-paper abstract-only mode — bilingual abstract + keywords.
opsx-review-reset
Clear OpenAI-compatible artifact review session overrides.