Swarm Workflow (IOSM)

Trust Score 78/100

Orchestrates complex development tasks with automated parallel subagent dispatch, dependency analysis, conflict detection, and IOSM quality gates for coordinate

triggers:swarmorchestrateparallel agentscontinuous dispatchiosmnew-trackswarm-iosm

GitHub SKILL.md

What it does

Swarm IOSM provides an orchestration workflow that plans, decomposes and runs parallel subagents to implement complex engineering tasks. It automates dependency analysis, continuous dispatch, touches lock management, spawn candidate handling, and IOSM quality gates to speed up large refactors and multi-file features.

When to use it

Use for multi-file features, brownfield refactors, PRD-driven work, and whenever you need parallelized subagent execution and structured integration. Avoid for trivial single-file fixes.

What's included

Scripts: orchestration planner and helpers (scripts/ present)
References: templates, gate definitions, and runbooks in repo
Instructions: CLI usage, wave dispatch examples, retry and fallback strategies, and monitoring guidance

Compatible agents

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Audit Summary

Swarm-IOSM is a comprehensive orchestration skill for parallel subagent workflows with dependency analysis, conflict detection, and IOSM quality gates. The SKILL.md is very detailed (42K chars) with clear commands and workflows. Scripts are well-structured but have import issues: error_patterns.py fails standalone because it uses a bare `from errors import` (not relative), and orchestration_planner.py misses `Optional` from typing. Only 1 of 7 scripts ran successfully (errors.py, a pure dataclass module). The remaining scripts mostly failed due to missing CLI arguments or import errors rather than logic bugs.

Watch Out

orchestration_planner.py missing `Optional` import — will crash at runtime when load_latest_checkpoint() is called
error_patterns.py uses bare `from errors import` instead of relative import, breaks when scripts are copied to temp dirs
Most scripts require specific directory structures (swarm/tracks/) that won't exist without full setup
SKILL.md is very long (42K chars) — could benefit from splitting into references/

Notes

No security concerns — no network calls, no shell execution, no credential handling, no exfiltration. The skill is purely local file manipulation and orchestration logic. The missing Optional import and bare import in error_patterns.py are code quality issues, not security issues. The skill is ambitious and well-documented but the scripts need better standalone robustness.

Information

Repository: swarm-iosm
Installs: 0

Trust Score

Overall78

Security92

Code Quality58

Architecture72

Usefulness70

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