monty-codeact

monty-codeact is a Workflow routing & gates skill for AI agents, published by jsturtevant in the copilot-codeact-plugin repository on GitHub. Skillspace rates monty-codeact D (67/100) and it passed the safety scan; the rating is based on static analysis only.

CodeAct via Monty. Use when looping over many files (8+), cross-referencing results from multiple sources, aggregating data across directories, or chaining 5+ dependent tool calls. Collapses N round-trips into one sandboxed Python run via scripts/codeact.py. NOT beneficial for <5 files or simple grep-then-view — direct tool calls have less overhead at small scale. ESPECIALLY valuable when MCP servers are loaded — fewer turns means the MCP tool catalog context is replayed fewer times. Run `scripts/codeact.py --discover` to see available sandbox tools. Sub-microsecond startup. Trigger: "codeact", "chain tools", "sandbox", "batch", "for each", "monty codeact", "monty sandbox", "run in monty", "pydantic monty".

Grade
D
Quality
67 / 100
Safety
Passed
GitHub stars
34

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
75 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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