SKILLEMALL.ai

CF paper-writing

Writes and revises scientific manuscripts, journal articles, preprints, theses, reports, in full paragraphs with the argument built from the project's actual results and sources, as a real .tex or .md file in the working folder. Use for drafting or revising a paper, a section, an abstract, a response to reviewers, or a technical report in any field. For ML conference papers use ml-paper-writing; for adding or checking references use citations; for figures use figures or schematics.

synthetic-sciences/OpenScience Agent Skills author: synthetic-sciences Apache-2.0 10 files · 1 script body ≈ 1 937 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Writes and revises scientific manuscripts, journal articles, preprints, theses, reports, in full paragraphs with the argument built from the project's actual…

As a process F 33/100 · No process to follow — References files that are not bundled: assets/report-template.tex, assets/scientific_report.sty

GeneratorData and analyticsResearchPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
95
Quality 40%
77
Run on models
none yet
Process rating
F
33/100
No process to follow
References files that are not bundled: assets/report-template.tex, assets/scientific_report.sty
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

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.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Edit Bash glob grep webfetch

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/report-template.tex
  • warning missing-ref reference to a missing file: assets/scientific_report.sty
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "role"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: assets/report-template.tex, assets/scientific_report.sty
  • 0Tools and files. 2 referenced file(s) missing: assets/report-template.tex, assets/scientific_report.sty
  • 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. 2 mutating operations with no state check
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1937 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 486: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 23 items
  • +4Reference files are cited in the instructions (8 of 8)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.