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BD venue-templates

Prepares journal manuscripts, conference papers, research posters, and grant documents using venue-specific formatting guidance and bundled LaTeX scaffolds. Supports selecting an official template, checking current page or anonymity rules, adapting academic writing to a venue, or inspecting a submission PDF.

K-Dense-AI/claude-scientific-skills Agent Skills author: K-Dense-AI MIT 20 files · 3 scripts body ≈ 3 169 tokens Open the sourcegithub.com↗ analyzed 12 h ago

Prepares journal manuscripts, conference papers, research posters, and grant documents using venue-specific formatting guidance and bundled LaTeX scaffolds.

As a process D 40/100 · Unfinished process — References files that are not bundled: assets/journals/nature_article.tex, assets/journals/plos_one.tex, assets/journals/neurips_article.tex

TemplateLaTeXPersonal productivitySecurityResearchtype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
D
40/100
Unfinished process
References files that are not bundled: assets/journals/nature_article.tex, assets/journals/plos_one.tex, assets/journals/neurips_article.tex
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/journals/nature_article.tex
  • warning missing-ref reference to a missing file: assets/journals/plos_one.tex
  • warning missing-ref reference to a missing file: assets/journals/neurips_article.tex
  • warning missing-ref reference to a missing file: assets/journals/elsarticle-template-num.tex
  • warning missing-ref reference to a missing file: assets/journals/elsarticle-template-num-names.tex
  • warning missing-ref reference to a missing file: assets/journals/elsarticle-template-harv.tex
  • warning missing-ref reference to a missing file: assets/journals/
  • warning missing-ref reference to a missing file: assets/grants/nsf_proposal_template.tex
  • warning missing-ref reference to a missing file: assets/grants/nih_specific_aims.tex
  • warning missing-ref reference to a missing file: assets/posters/beamerposter_academic.tex

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: assets/journals/nature_article.tex, assets/journals/plos_one.tex, assets/journals/neurips_article.tex
  • 0Tools and files. 10 referenced file(s) missing: assets/journals/nature_article.tex, assets/journals/plos_one.tex, assets/journals/neurips_article.tex
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 100Steps. 69 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3169 tokens
  • 100Progress reporting. Reports progress

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 309: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 69 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (12 of 12)
  • +3All 3 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.