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CF ml-paper-writing

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. For systems venues (OSDI, NSDI, ASPLOS, SOSP), use systems-paper-writing instead.

Orchestra-Research/AI-Research-SKILLs Agent Skills author: Orchestra-Research MIT 13 files body ≈ 9 211 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM.

As a process F 28/100 · No process to follow — References files that are not bundled: ../systems-paper-writing/

GeneratorLaTeXAI and agentsResearchtype 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
C
87/100
safety, quality, tests
Safety 60%
98
Quality 40%
70
Run on models
none yet
Process rating
F
28/100
No process to follow
References files that are not bundled: ../systems-paper-writing/
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: ml-paper-writing (Lord1Egypt/RA-Skills)

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token SKILL.md:55
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    \cite{PLAC…his}  % TODO: Verify this citation exists
    placeholder
  • low Secrets in code secret-high-entropy-token SKILL.md:805
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    \cite{PLAC…ify}  % TODO: Could not verify - scientist must confirm
    placeholder

Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9211 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../systems-paper-writing/
  • note frontmatter-key unknown frontmatter key "dependencies"

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: ../systems-paper-writing/
  • 0Tools and files. 1 referenced file(s) missing: ../systems-paper-writing/
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 15 mutating operations with no state check
  • 40Execution cost. Instruction body is 9211 tokens: crowds the task out of the window
  • 55Failures and branches. 1 branches
  • 60Steps. 142 steps, 4 vague phrases
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 17 top-level sections: this looks like several domains in one skill

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
  • -234 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 289: enough signal without eating the budget
  • +4Structure: 47 headings
  • +3Step-by-step instructions: 142 items
  • +4Has examples (28 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +1License stated

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