Borrowing it
Nothing to install: this file belongs to irahardianto/awesome-agv. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/irahardianto/awesome-agv/main/.agents/skills/agent-protocols/SKILL.mdgit clone --depth 1 https://github.com/irahardianto/awesome-agvWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/irahardianto/awesome-agv/agent-protocols)<a href="https://agentmods.dev/skills/irahardianto/awesome-agv/agent-protocols"><img src="https://agentmods.dev/badge/skills/irahardianto/awesome-agv/agent-protocols/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/irahardianto/awesome-agv/agent-protocols"><img src="https://agentmods.dev/badge/skills/irahardianto/awesome-agv/agent-protocols.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.01552 |
| Opus 5 | $0.00028 | $0.00776 |
| Sonnet 5 | $0.00011 | $0.00310 |
| Haiku 4.5 | $0.00006 | $0.00155 |
Grade A, and why
agent-protocols scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Protocols
Shared behavioral protocols for all agents in the workflow-team pipeline.
1. Recursive Nesting Protocol
When your scope card is too broad for a single context:
- Further decompose using
parallel-dispatchskill (§1 Decomposition, §5 Hierarchical Decomposition) - Spawn sub-agents with narrower scope cards using
TypeName="self"with dedicatedRoledesignations (see §3 Agent Spawn Protocol) - Your scope becomes the ceiling — children cannot operate outside it
- Track sub-agent progress; merge results when all complete
- Write
.agentwork/handoff.mdfor your parent coordinator
Triggers for nesting:
- Task edits >3 unrelated files
- Scope card contains >2 features
- Context approaching 50% capacity
- Secondary expertise needed (delegate to specialist)
2. Pre-Implementation Restatement
Before writing code, restate in your own words:
- What the
.agentwork/brief.md/ scope card asks you to build - What files you will create or modify
- What assumptions you are making
If any assumption is uncertain, document it in your handoff and proceed with the conservative interpretation.
3. Agent Spawn Protocol (Universal TypeName="self" Pattern)
In the Antigravity subagent platform, TypeName="self" is the universal spawn mechanism that ensures subagents inherit their parent's full tool capabilities (file modification, command execution, and subagent dispatch for multi-tier nesting). Discovered named types default to read-only tool sets.
When spawning ANY agent type with a role file in .agents/agents/:
- Always use
TypeName="self"ininvoke_subagentcalls. This guarantees the subagent inherits write, execution, and subagent tools from the parent. - Differentiate roles via the
Rolefield (e.g.,Role: "Tech-Lead (Auth API)",Role: "Backend Engineer (Payments)",Role: "Test Automation Engineer"). - Reference the role file in the system prompt — never paraphrase:
"Your role, domain, skills, boundaries, and protocols are defined in file://{workspace}/.agents/agents/{agent-type}.md. Read this file FIRST before beginning any work." - The child agent MUST read the role file as its first action. Boundaries, domain rules, and workflow expectations are strictly defined by the role file.
- Propagate this protocol recursively — Tech-Leads spawn specialized builders using
TypeName="self"with builder role files, enabling deep parallel execution. - Subagent Monitoring & Reactivity: Parents receive automatic notifications when subagents send messages. Wait reactively or use
manage_subagentsto list active subagents. Do NOT usemanage_task(which is exclusively for background commands/processes) for subagent lifecycle operations.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 116 lines · 56 tokens per session scan A 538a4e35fb82
agent-protocols is a skill published in the GitHub repository irahardianto/awesome-agv (156 stars, last pushed 19d ago), licensed MIT. It adds 56 tokens to every session and 1,552 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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