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Toposort python script

Skill sangjinsu/skill-execution-bench/skills/toposort-python-script

Local-first benchmark comparing four Skill packaging patterns — doc-only, inline-code, Python script, and Go binary — to find which is most reliable when an LLM coding agent executes a Skill.From the repository description

Install
npx -y skills add sangjinsu/skill-execution-bench --skill toposort-python-script

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SKILL.md

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Dependency Topological Sort (Python Script)

When to use

Use this Skill when you need a topological order of dependency records and a reusable Python script is the preferred execution path. Run the bundled script rather than re-deriving the algorithm.

Inputs

  • A JSON array of records on stdin, each {"id": "<integer>", "deps": ["<id>", ...]}.
  • deps lists ids that must come before this task (valid DAG, unique integer ids).

Expected output

  • A JSON array of ids on stdout (compact), in topological order; ties broken by smallest numeric id. Deterministic.
  • Exit code 0 on success, non-zero on invalid input or a cycle.

Procedure

Run the bundled script, piping the input JSON to stdin and capturing stdout:

python skills/toposort-python-script/scripts/toposort.py < input.json > output.json
echo '[{"id":"3","deps":["1","2"]},{"id":"1","deps":[]},{"id":"2","deps":["1"]}]' \
  | python skills/toposort-python-script/scripts/toposort.py
# -> ["1","2","3"]

Do not reimplement the algorithm inline — invoke the script so behavior stays consistent and testable.

Validation

  • Output parses as a JSON array containing every id exactly once.
  • Every node's dependencies precede it in the output.
  • Ties are broken by smallest numeric id.
  • A cyclic or malformed input causes a non-zero exit code.

What ships with it: 1 file

2.5 KB alongside SKILL.md, 1 of them executable

scripts/

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