agent-protocol
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
Governance Receipt
- Signer
- sovereign-claw-ed25519
- Signed At
- 6/4/2026
- Risk Tier
- T0
- Receipt Hash
- 9dc987a9
- Manifest Hash
- 7533bcce4f48d62b22226fbd679e41916104d1dc76aa53e93cb14dea4256fcb1
- Signature
- AAmBxSsy
- Root Public Key
- 349b0348
Skill Details
- Gate Verdict
- Attested
- Publication State
- published
- Risk Tier
- T0
- Manifest Hash
- 7533bcce
Download Attested Bundle
Install agent-protocol
Each bundle is served from the attested copy of agent-protocol, so the file you download is the one covered by the governance receipt on this page rather than whatever currently sits at the upstream source.
Claude Code skill
curl -L "https://atestiv.com/api/download/agent-protocol?format=claude-code" -o agent-protocol.skill.mdMCP tool definitions
curl -L "https://atestiv.com/api/download/agent-protocol?format=mcp" -o agent-protocol.mcp-tools.jsonRaw attested bundle
curl -L "https://atestiv.com/api/download/agent-protocol?format=raw" -o agent-protocol.bundle.jsonVerify the bundle against its manifest hash
shasum -a 256 agent-protocol.bundle.jsonProvenance
- Catalog identifier:
agent-protocol - Harvested from the upstream repository.
- The manifest hash below is what the signing key committed to. A bundle whose digest does not match it is not the attested agent-protocol.
- Anything published here has been through the same gate, so a missing receipt is itself a signal rather than an omission.
More Skills
agent-workflow-designer
Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
agenthub
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
Agentic Eval-First
Agentic engineering operating model: eval-first execution, task decomposition, cost-aware model routing by complexity, and structured agent workflow patterns.