Install
$ agentstack add skill-agentlas-ai-hephaestus-team-builder-packaging ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Team Builder Packaging
Procedure
- Start with the orchestrator/HQ.
- Run
docs/builder-interview-research-gate.mdbefore writing the roster:
ask an 8-12 question first batch, research official sources, similar agent repositories or comparables, academic/professional theory, and plugin docs, compare tool/plugin choices, and write the domain-expert synthesis plus prompt-performance contract.
- Add PM Soul or project owner.
- Add Memory Curator and Memory Ticket handoff.
- Add Policy Gate, eval judge, and QA/evidence gate.
- Add workers only for real domain ownership proved by interview or research.
- Add
docs/builder-interview.md,docs/research-sources.md,
docs/tool-selection.md, docs/domain-expert-synthesis.md, docs/prompt-performance-contract.md, and .agentlas/capability-eval-plan.json unless explicitly creating a minimal private scaffold.
- Encode handoff and return contracts.
- Emit one orchestrator/HQ global command in
.agentlas/global-commands.json
and runtime command files. Do not expose worker commands unless requested.
- Emit runtime adapters and package verification.
- Run
scripts/verify-team-package.shbefore reporting
completed. If it fails, do not hand off a result; correct the package by adding an orchestrator/HQ plus company-blueprint topology or by collapsing it to a valid single-agent package.
Output
Return team_topology, nodes, edges, memory_architecture, gates, runtime_adapters, global_commands, and verification.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: agentlas-ai
- Source: agentlas-ai/Hephaestus
- License: Apache-2.0
- Homepage: https://agentlas.cloud
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.