Borrowing it
Nothing to install: this file belongs to ZimoLiao/scholaraio. 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/ZimoLiao/scholaraio/main/.claude/skills/rename/SKILL.mdgit clone --depth 1 https://github.com/ZimoLiao/scholaraioWrote 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/zimoliao/scholaraio/rename)<a href="https://agentmods.dev/skills/zimoliao/scholaraio/rename"><img src="https://agentmods.dev/badge/skills/zimoliao/scholaraio/rename/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/zimoliao/scholaraio/rename"><img src="https://agentmods.dev/badge/skills/zimoliao/scholaraio/rename.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00025 | $0.00247 |
| Opus 5 | $0.00013 | $0.00123 |
| Sonnet 5 | $0.00005 | $0.00049 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
rename 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 11d 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.
What it actually says
重命名论文文件
根据 JSON 元数据规范化论文文件名（Author-Year-Title 格式）。
执行逻辑
-
判断用户意图：
- 重命名单篇：指定 paper_id
- 重命名全部：使用 --all
- 先预览再执行：使用 --dry-run
-
执行命令：
预览全部重命名：
scholaraio rename --all --dry-run
执行全部重命名：
scholaraio rename --all
重命名单篇论文：
scholaraio rename <paper-id>
- 重命名后建议重建索引：
scholaraio pipeline reindex
示例
用户说："帮我把论文文件名整理一下"
→ 先执行 rename --all --dry-run 预览，确认后执行 rename --all
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.
- 11d ago First seen · 42 lines · 25 tokens per session scan A 889779cb03f2
rename is a skill published in the GitHub repository ZimoLiao/scholaraio (570 stars, last pushed 12d ago), licensed MIT. It adds 25 tokens to every session and 247 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.
Other skills, from other repositories
research-workflow
This skill should be used when the user asks research questions, needs information lookup, wants comparisons, asks "what is", "how does", "explain", "compare", "best practices", "latest developments", or any query requiring web search, documentation lookup, or synthesis of multiple sources. Provides optimal routing…
thoughtdag
Open the current Codex session in ThoughtDAG (desktop app direct; local bridge fallback — data never leaves this machine), or query local session history with why / find / recall.
gigaxity-deep-research
Deep research MCP server wrapping Qwen3-30B-A3B-Thinking via OpenRouter. Use when an agent needs cross-source synthesis with citations, exploratory expansion of an unfamiliar topic, chain-of-thought reasoning over evidence, or fast conversational lookups grounded in live web search. Exposes six MCP tools — two…
template-agentic-use
Agentic-use and skill-routing workflow for the Research Project Template. USE WHEN discovering relevant skills, making template easier for agents to navigate, auditing docs/prompts skill coverage, checking .cursor/skillmanifest.json, evaluating external skills, reviewing external agentic operating models such as…
infrastructure-overview
Top-level skill for the research template infrastructure layer. Use in Cursor, Claude Code, or similar agents when editing or importing anything under infrastructure/, understanding the two-layer architecture, or wiring build/validation/rendering/publishing. Covers module discovery, import patterns, thin…
infrastructure-search
Discovery utilities. Hosts subpackages — literature for Paperclip-style multi-source academic search; exa for Exa-backed web search, contents, answers, and find-similar; monid for the Monid gateway (discover/inspect/run) plus offline USD-per-1k search API pricing; and deepresearch for provider-neutral long-running…