agent-swarm-workflow
Coordinate Multi-Agent Coding Swarms
Parallel AI coding can become hard to coordinate across tasks, files, and reviews. This skill provides prompts and tool steps for NTM, Agent Mail, Beads, and BV.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "agent-swarm-workflow" from https://skillstore.io/skills/dicklesworthstone-agent-swarm-workflow.md and its manifest at https://skillstore.io/api/skills/dicklesworthstone-agent-swarm-workflow/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "agent-swarm-workflow". Start a four-agent implementation session for a project with prepared beads.
Expected outcome:
A launch checklist, initial agent instructions, Agent Mail coordination steps, and task selection guidance for BV.
Using "agent-swarm-workflow". Help agents continue after finishing one bead.
Expected outcome:
A concise follow-up prompt that refreshes project context, checks messages, selects a ready bead, and announces the next task.
Using "agent-swarm-workflow". Set up quality review after several agents have changed code.
Expected outcome:
A review sequence that covers self-review, cross-agent review, broad code exploration, and test coverage checks.
Security Audit
Medium RiskAll 65 static findings were reviewed. The backtick and command-substitution hits are Markdown examples rather than executable skill code. A semantic risk remains because the workflow tells agents to commit and push without a human approval gate.
Confirmed security concerns (1)
Risk Factors
⚙️ External commands (62)
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
Copy report link
https://skillstore.io/skills/dicklesworthstone-agent-swarm-workflow/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
[](https://skillstore.io/skills/dicklesworthstone-agent-swarm-workflow?utm_source=security_passport_badge)HTML badge
<a href="https://skillstore.io/skills/dicklesworthstone-agent-swarm-workflow?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dicklesworthstone-agent-swarm-workflow/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/dicklesworthstone-agent-swarm-workflow.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
Dicklesworthstone. (2026). agent-swarm-workflow security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dicklesworthstone-agent-swarm-workflow/audits/9BibTeX citation
@techreport{dicklesworthstone-dicklesworthstone-agent-swarm-workflow-2026,
author = {Dicklesworthstone},
title = {agent-swarm-workflow security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/dicklesworthstone-agent-swarm-workflow/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "agent-swarm-workflow security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "Dicklesworthstone"
date-released: "2026-07-05"
url: "https://skillstore.io/skills/dicklesworthstone-agent-swarm-workflow/audits/9"
identifiers:
- type: other
value: "skillstore:dicklesworthstone-agent-swarm-workflow:audit:9"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Run Parallel Feature Work
Coordinate several AI agents across prepared beads while reducing file conflicts and duplicate work.
Maintain Review Momentum
Use repeatable prompts for self-review, cross-review, and follow-up work after each task completes.
Standardize Agent Coordination
Give teams a shared workflow for task selection, status updates, and file reservations.
Try These Prompts
Use agent-swarm-workflow to start three coding agents for my prepared bead plan. Include prerequisites and the initial marching orders.
Use agent-swarm-workflow to create a follow-up prompt that tells agents how to select the next ready bead and report status.
Use agent-swarm-workflow to organize self-review and cross-agent review rounds for a multi-agent coding session.
Use agent-swarm-workflow to plan the full execution loop from swarm launch through review, task selection, and controlled commit preparation.
Best Practices
- Prepare the plan, beads, AGENTS.md, and coordination tools before starting agents.
- Reserve files before editing and announce active work with bead IDs.
- Require human approval before commits, pushes, or broad repository changes.
Avoid
- Starting agents before tasks and dependencies are clearly defined.
- Letting agents edit the same files without reservations or status messages.
- Running commit or push prompts without reviewing the final diff first.
Frequently Asked Questions
What does this skill coordinate?
Does it create the project plan?
Which tools does it reference?
Can it prevent all merge conflicts?
Is this only for Claude Code?
Should agents push changes automatically?
Developer Details
Author
DicklesworthstoneLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
c579efd02184f1128d6741d16e6c8d951d7d4208
Maintenance freshness
7/18/2026
Usage
7 downloads · 231 views
File structure
📄 SKILL.md