Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/itsribbz/godspeed/_schemagit clone --depth 1 https://github.com/itsribbZ/GodspeedWhat 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 | $0.00000 | $0.01129 |
| Opus 5 | $0.00000 | $0.00564 |
| Sonnet 5 | $0.00000 | $0.00226 |
| Haiku 4.5 | $0.00000 | $0.00113 |
Grade A, and why
_SCHEMA 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 2d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Schema (v1.0)
Real subagent persona definitions. Each <name>.json defines one agent — its system prompt, tool grants, skill wrappers, trigger signals, success metrics, and per-agent learnings file.
Required fields
| Field | Type | Description |
|---|---|---|
name |
string | Unique agent identifier (snake_case). Becomes the JSON filename. |
division |
string | Owning division (research, debug, etc.). |
role |
string | One-line role summary (≤120 chars). |
model |
string | haiku / sonnet / opus — invocation model. |
system_prompt |
string | Full persona prompt. Includes: charter, sacred-rule overrides, reasoning style, output format. |
tool_grants |
string[] | Allowed Claude Code tools (Read, Edit, Bash, Grep, etc.). Informational; enforced at dispatch. |
skill_wrappers |
string[] | Existing skills this agent reaches into for context. Loaded as context, not invoked. |
trigger_signals |
object[] | Phrase + weight signals for sub-dispatch within division. [{"phrase": "research", "weight": 0.85}, ...] |
success_metrics |
object | Per-agent KPIs (target values measurable from telemetry). |
_learnings_path |
string | Relative path to per-agent _learnings.md. |
version |
string | Schema version (currently 1.0). |
Optional fields
| Field | Type | Description |
|---|---|---|
max_thinking_budget |
int | Sonnet/Opus extended thinking budget in tokens. Default per-tier. |
tool_result_truncation_chars |
int | Truncate tool output to N chars before next iteration (saves cache cost). |
anti_signals |
object[] | Negative phrase weights (suppresses dispatch when matched). |
sacred_rule_overrides |
string[] | Agent-specific sacred-rule reinforcements. |
output_contract |
object | Structured output expectations (verdict, citations, etc.). |
parent_skill |
string | If agent is a focused persona of an existing skill, name it. |
created |
string | ISO date created. |
scan_date |
string | Last review date. |
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.
- 2d ago First seen · 86 lines · 0 tokens per session scan A 0714cd9baed5
_SCHEMA is an agent published in the GitHub repository itsribbZ/Godspeed (1 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,129 tokens. 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 2026-08-31.
Other agents, from other repositories
llm_router
Cost-optimized assistant that routes every task through LLM Router first.
agents-task
Goal: create one agent and get a result.
agents-quickstart
Create an agent and invoke it. invoke is a coroutine, so drive it with asyncio.run.
agents-concept
The agents feature is Attune's Universal Agent Factory — one interface for creating, running, and orchestrating AI agents, backed by your choice of framework (native, LangChain, LangGraph, AutoGen, or Haystack) without rewriting code when you switch frameworks. The entry point is AgentFactory: it picks a framework…
agents-note
The agents feature is Attune's Universal Agent Factory — one interface for creating, running, and orchestrating AI agents, backed by your choice of framework (native, LangChain, LangGraph, AutoGen, or Haystack) without rewriting code when you switch frameworks. The entry point is AgentFactory: it picks a framework…
agents-reference
The public surface is re-exported from attune.agentfactory: AgentFactory, Framework, BaseAdapter, BaseAgent, AgentConfig, WorkflowConfig, AgentRole, AgentCapability.