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/ludicdynamics/worldlines/refereegit clone --depth 1 https://github.com/LudicDynamics/WorldLinesWhat 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 | $0.00281 |
| Opus 5 | $0.00000 | $0.00140 |
| Sonnet 5 | $0.00000 | $0.00056 |
| Haiku 4.5 | $0.00000 | $0.00028 |
Grade A, and why
referee 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- yesterday First seen · 21 lines · 0 tokens per session scan A fed8dd232c47
referee is an agent published in the GitHub repository LudicDynamics/WorldLines (72 stars, last pushed 5d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 281 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 2026-08-30.
Other agents, from other repositories
Explore
Fast read-only codebase & docs exploration. Returns structured findings, never raw file dumps.
DocScribe
Write docs/ prose for a completed change, in caveman style, per the repo's Documentation Update Protocol. Use after a change lands to update docs/architecture.md, docs/ .md, README, or docs/AGENTS.md — the Rule-6 delegation target (main agent must NOT edit docs/ directly). Self-contained — give it the diff + target…
Audit
Deep security + performance audit of a specific diff. Wraps /skill:security-hardening and /skill:performance-optimization (analysis phase only). Use when a change touches auth, untrusted input, secrets, webhooks, PII, or a latency/throughput budget — a focused, read-only risk pass that returns findings the parent…
SessionGuideline
Turn a pi session JSONL into a how-we-did-it playbook. Wraps /skill:session-to-guideline. Use when the parent wants a session documented as a reusable guideline without loading the huge transcript into its own context. Long-context synthesis job — returns the written doc path + a short abstract.
AGENTS
Files in this directory. One row per file. Non-source area. Project-tier subagent definitions; resolved by pi-dashboard-subagents tier 1 ( /.pi/agents/ .md), beating user/bundled/package tiers. Frontmatter schema: description, model, thinking, tools, inheritcontext, prompt. tools: MUST be YAML array form …
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