Install
$ agentstack add skill-lzy599775-agent-auto-sci-skills-kdense-scicomm-selected ✓ 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.
About
K-Dense Scientific Communication Selected
This wrapper packages selected Scientific Communication skills from K-Dense-AI/scientific-agent-skills for Auto-sci-research.
Use it when a task needs technical references for:
- scientific writing structure;
- peer-review thinking;
- citation management;
- literature review organization;
- slides, posters, schematics, or Mermaid diagrams.
Local Adaptation
Use these upstream skills with local writing rules:
- Preserve the manuscript's evidence strength and do not polish weak claims into stronger claims.
- Build a claim-evidence map before rewriting important sections.
- For sport geography and urban exposure papers, make public health, equity, mechanism, and policy relevance explicit.
- For slides and posters, prioritize argument flow over decoration.
- For citations, distinguish confirmed sources from candidate sources and never invent bibliographic details.
For domain-specific guidance, also read:
../agent-auto-sci-scicomm/references/k_dense_scicomm_mapping.md../agent-auto-sci-scicomm/references/manuscript_argument_checklist.md
Must Not Do
- Do not alter facts, values, methods, or citations during polishing.
- Do not hide uncertainty, limitations, or review risk.
- Do not use templates when the target journal requires a specific structure.
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.