Agent Auto Sci Automation
科研自动化与长期记忆子 skill。用于把 AutoSci/OmegaWiki 的论文摄入、知识库、idea 生成、novelty 检查、实验设计、失败经验、论文计划、review/rebuttal、可视化和进化记录流程转化为本地 Codex 科研工作流。触发于科研自动化、跨项目记忆、source manifest、wiki式知识库、paper ingestion、idea pipeline、experiment lifecycle、checkpoint、API 配置等任务。
Install
$ agentstack add skill-lzy599775-agent-auto-sci-skills-agent-auto-sci-automation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-lzy599775-agent-auto-sci-skills-agent-auto-sci-automation) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Agent Auto Sci Automation
Use this subskill to convert a one-off research task into a persistent workflow.
Fast Workflow
- Define the project root, source folders, output folders, and ownership boundaries.
- Create or update a source manifest: papers, notes, data, scripts, figures, manuscripts.
- Convert sources into structured memory: tables, indexes, concept notes, method notes, failed attempts.
- Route the task to literature, idea, experiment, analysis, writing, review, or archive stages.
- Add checkpoints for long-running workflows.
- Update the evolution archive after workflow improvements.
Read references/autosci_workflow_and_memory.md.
For deeper AutoSci encapsulation:
references/autosci_command_mapping.md: local mapping of AutoSci/init,/ideate,/novelty,/exp-design,/paper-plan,/review,/rebuttal, and visualization flows.references/api_and_checkpoint_templates.md: source manifest, checkpoint, API role, and failure-memory templates.
Default Memory Entities
sources: PDFs, data, notes, web pages.papers: structured paper records, DOI, topic, method, findings.concepts: definitions, boundaries, related concepts.methods: reusable analytical or writing methods.ideas: proposed, rejected, validated, or failed research ideas.experiments: empirical or computational tests, including failed runs.outputs: manuscripts, figures, tables, posters, slides.reviews: reviewer comments, internal critiques, response strategies.evolution: skill changes, new workflows, validation evidence.
Quality Rules
- Checkpoint before long workflows.
- Do not overwrite user-curated source boundaries without explicit instruction.
- Record failed ideas and weak evidence, not only successful outputs.
- Do not write secrets into logs or HTML.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Lzy599775
- Source: Lzy599775/agent-auto-sci-skills
- License: MIT
- Homepage: https://lzy599775.github.io/agent-auto-sci-skills/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.