CF ml-paper-writing
Writes and revises machine-learning papers for NeurIPS, ICML, ICLR, ACL, COLM and AAAI, from a research repository or a set of tracked runs to a compiling LaTeX draft in the venue's template, with the contribution stated as claims backed by experiments, ablations and honest baselines. Use for ML or AI conference papers, workshop papers, camera-ready preparation, and rebuttals. For journal articles and other fields use paper-writing; for references use citations; for figures use figures.
Writes and revises machine-learning papers for NeurIPS, ICML, ICLR, ACL, COLM and AAAI, from a research repository or a set of tracked runs to a compiling…
As a process F 33/100 · No process to follow — References files that are not bundled: assets/templates/<venue>/, assets/templates/icml2026/, assets/templates/iclr2026/
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.
Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.
How to improve
- The text references files that are not there: add them or drop the references.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
medium Broad scope
meta-broad-allowed-toolsSKILL.md:1Broad tool permissions pre-approved: Bashallowed-tools: Read Write Edit Bash glob grep experiments
Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: assets/templates/<venue>/ - warning
missing-refreference to a missing file: assets/templates/icml2026/ - warning
missing-refreference to a missing file: assets/templates/iclr2026/ - note
frontmatter-keyunknown frontmatter key "summary" - note
frontmatter-keyunknown frontmatter key "role"
Process rating: all ten parameters 33/100
- 0Tools and files. 3 referenced file(s) missing: assets/templates/<venue>/, assets/templates/icml2026/, assets/templates/iclr2026/
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 100Steps. 18 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1557 tokens
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
- +4No input/output examples
- +2Single-language instructions
- +3Description length 491: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 18 items
- +4Reference files are cited in the instructions (5 of 5)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.