SKILLEMALL.ai

CD research-repo

Scaffolds or audits an entire research-project repository organized around its source library. Use when the user starts, structures, organizes, or reviews a project, including "set up a research repo", "how should I structure/organize this project", "initialize my sources folder", "new paper or literature-review project", "audit my repo structure", "is my sources folder set up right", or "check my project layout". Builds the source spine, original PDFs, tracked Markdown conversions, drop zone, bibliography, intake pipeline, and suitable analysis, manuscript, and review folders, or audits what is present, partial, or missing. Single-PDF intake goes to process-source, replication packages to replication-package.

scdenney/open-science-skills Claude Code author: scdenney NOASSERTION 1 file body ≈ 5 375 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Scaffolds or audits an entire research-project repository organized around its source library.

As a process D 37/100 · Unfinished process — References files that are not bundled: scripts/convert-sources.sh

AnalyzerWordPDFSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
95
Quality 40%
73
Run on models
none yet
Process rating
D
37/100
Unfinished process
References files that are not bundled: scripts/convert-sources.sh
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 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 · 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

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5375 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/convert-sources.sh

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: scripts/convert-sources.sh
  • 0Tools and files. 1 referenced file(s) missing: scripts/convert-sources.sh
  • 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
  • 30Running it twice. 11 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5375 tokens
  • 100Steps. 34 steps
  • 100Consistency. Name and required fields are in place

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +3Description length 719: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.