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.
npx skills add Lzy599775/agent-auto-sci-skills --skill kdense-scicomm-selectedgit 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/skills/lzy599775/agent-auto-sci-skills/kdense-scicomm-selected)<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/kdense-scicomm-selected"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/kdense-scicomm-selected/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/lzy599775/agent-auto-sci-skills/kdense-scicomm-selected"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/kdense-scicomm-selected.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 | $0.00093 | $0.00371 |
| Opus 5 | $0.00046 | $0.00186 |
| Sonnet 5 | $0.00019 | $0.00074 |
| Haiku 4.5 | $0.00009 | $0.00037 |
Grade A, and why
kdense-scicomm-selected 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
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.
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 311 B
- LICENSE.upstream.md 1.0 KB
- NOTICE.md 543 B
- subskills/k-dense/citation-management/assets/bibtex_template.bib 9.0 KB
- subskills/k-dense/citation-management/assets/citation_checklist.md 10 KB
- subskills/k-dense/citation-management/references/best_practices.md 2.6 KB
- subskills/k-dense/citation-management/references/bibtex_formatting.md 19 KB
- subskills/k-dense/citation-management/references/citation_validation.md 18 KB
- subskills/k-dense/citation-management/references/core_workflow.md 20 KB
- subskills/k-dense/citation-management/references/example_workflows.md 3.3 KB
- subskills/k-dense/citation-management/references/google_scholar_search.md 17 KB
- subskills/k-dense/citation-management/references/metadata_extraction.md 19 KB
- subskills/k-dense/citation-management/references/pubmed_search.md 17 KB
- subskills/k-dense/citation-management/references/script_reference.md 6.4 KB
- subskills/k-dense/citation-management/references/search_strategies.md 3.7 KB
- subskills/k-dense/citation-management/scripts/_common.py 11 KB runs code
- subskills/k-dense/citation-management/scripts/doi_to_bibtex.py 6.2 KB runs code
- subskills/k-dense/citation-management/scripts/extract_metadata.py 26 KB runs code
- subskills/k-dense/citation-management/scripts/format_bibtex.py 11 KB runs code
- subskills/k-dense/citation-management/scripts/search_google_scholar.py 8.4 KB runs code
- subskills/k-dense/citation-management/scripts/search_openalex.py 10 KB runs code
- subskills/k-dense/citation-management/scripts/search_pubmed.py 13 KB runs code
- subskills/k-dense/citation-management/scripts/validate_citations.py 26 KB runs code
- subskills/k-dense/citation-management/SKILL.md 15 KB
- subskills/k-dense/latex-posters/assets/baposter_template.tex 7.3 KB
- subskills/k-dense/latex-posters/assets/beamerposter_template.tex 7.5 KB
- subskills/k-dense/latex-posters/assets/poster_quality_checklist.md 11 KB
- subskills/k-dense/latex-posters/assets/tikzposter_template.tex 7.7 KB
- subskills/k-dense/latex-posters/references/ai_graphics_for_posters.md 24 KB
- subskills/k-dense/latex-posters/references/compilation_and_quality_control.md 14 KB
- subskills/k-dense/latex-posters/references/latex_poster_packages.md 17 KB
- subskills/k-dense/latex-posters/references/latex_poster_reference.md 7.2 KB
- subskills/k-dense/latex-posters/references/poster_content_guide.md 20 KB
- subskills/k-dense/latex-posters/references/poster_design_principles.md 22 KB
- subskills/k-dense/latex-posters/references/poster_layout_design.md 22 KB
- subskills/k-dense/latex-posters/references/poster_patterns_and_presentation.md 2.6 KB
- subskills/k-dense/latex-posters/references/README.md 12 KB
- subskills/k-dense/latex-posters/scripts/generate_schematic_ai.py 38 KB runs code
- subskills/k-dense/latex-posters/scripts/generate_schematic.py 7.4 KB runs code
- subskills/k-dense/latex-posters/scripts/review_poster.sh 7.8 KB runs code
- subskills/k-dense/latex-posters/SKILL.md 16 KB
- subskills/k-dense/literature-review/assets/review_template.md 13 KB
- subskills/k-dense/literature-review/references/citation_styles.md 6.0 KB
- subskills/k-dense/literature-review/references/core_workflow.md 9.7 KB
- subskills/k-dense/literature-review/references/database_strategies.md 15 KB
- subskills/k-dense/literature-review/references/example_workflow.md 2.3 KB
- subskills/k-dense/literature-review/references/search_and_citation.md 5.6 KB
- subskills/k-dense/literature-review/scripts/generate_pdf.py 5.3 KB runs code
- subskills/k-dense/literature-review/scripts/generate_schematic_ai.py 38 KB runs code
- subskills/k-dense/literature-review/scripts/generate_schematic.py 7.4 KB runs code
- subskills/k-dense/literature-review/scripts/search_databases.py 8.8 KB runs code
- subskills/k-dense/literature-review/scripts/verify_citations.py 6.9 KB runs code
- subskills/k-dense/literature-review/SKILL.md 13 KB
- subskills/k-dense/markdown-mermaid-writing/assets/examples/example-research-report.md 8.8 KB
- subskills/k-dense/markdown-mermaid-writing/references/diagrams/architecture.md 4.3 KB
- subskills/k-dense/markdown-mermaid-writing/references/diagrams/block.md 4.7 KB
- subskills/k-dense/markdown-mermaid-writing/references/diagrams/c4.md 6.1 KB
- subskills/k-dense/markdown-mermaid-writing/references/diagrams/class.md 8.3 KB
- subskills/k-dense/markdown-mermaid-writing/references/diagrams/complex_examples.md 17 KB
- subskills/k-dense/markdown-mermaid-writing/references/diagrams/er.md 7.4 KB
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 · 38 lines · 93 tokens per session scan A 9d0a173e1abe
kdense-scicomm-selected is a skill published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 5d ago), licensed MIT. It adds 93 tokens to every session and 371 once invoked, about $0.0005 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 2026-08-31.
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