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/orlojhq/orloj/agent-systemgit clone --depth 1 https://github.com/OrlojHQ/orlojWhat 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 | $0.03477 |
| Opus 5 | $0.00000 | $0.01739 |
| Sonnet 5 | $0.00000 | $0.00695 |
| Haiku 4.5 | $0.00000 | $0.00348 |
Grade A, and why
agent-system 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.
How it starts
The opening of the file, as written. The whole thing — 485 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentSystem
An AgentSystem composes multiple Agents into a directed graph that Orloj executes as a coordinated workflow. The graph defines how messages flow between agents during task execution.
Agent systems can also declare human review checkpoints:
spec.graph.<node>.review: review a node's output before downstream routing continuesspec.completion_review: review the final task output before the task is markedSucceeded
Defining an AgentSystem
apiVersion: orloj.dev/v1
kind: AgentSystem
metadata:
name: report-system
labels:
orloj.dev/domain: reporting
orloj.dev/usecase: weekly-report
spec:
agents:
- planner-agent
- research-agent
- writer-agent
graph:
planner-agent:
next: research-agent
research-agent:
next: writer-agent
Graph Topologies
The graph field supports three fundamental patterns:
Pipeline -- sequential stage-by-stage execution where each agent hands off to the next.
graph:
planner-agent:
edges:
- to: research-agent
research-agent:
edges:
- to: writer-agent
Hierarchical -- a manager delegates to leads, who delegate to workers, with a join gate that waits for all branches before proceeding.
graph:
manager-agent:
edges:
- to: research-lead-agent
- to: social-lead-agent
research-lead-agent:
edges:
- to: research-worker-agent
social-lead-agent:
edges:
- to: social-worker-agent
research-worker-agent:
edges:
- to: editor-agent
social-worker-agent:
edges:
- to: editor-agent
editor-agent:
join:
mode: wait_for_all
Swarm with loop -- parallel scouts report back to a coordinator in iterative cycles, bounded by Task.spec.max_turns.
graph:
coordinator-agent:
edges:
- to: scout-alpha-agent
- to: scout-beta-agent
- to: synthesizer-agent
scout-alpha-agent:
edges:
- to: coordinator-agent
scout-beta-agent:
edges:
- to: coordinator-agent
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 · 485 lines · 0 tokens per session scan A 59618bc34309
agent-system is an agent published in the GitHub repository OrlojHQ/orloj (117 stars, last pushed 4d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 3,477 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.
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…
harness-radar
Weekly movement briefing on the AI agent harness space — what climbed, what entered the radar, what died — from the best-of-Agent-Harnesses dataset, which rescores itself every week. Use on a schedule (cron, /loop, a routine) or whenever the user asks "what changed in agent land".
Executive Scripter
Identify repeated interactive tasks and encode them as committed scripts. Audit scripts/ for gaps, propose new scripts, and extend existing ones — enforcing the programmatic-first principle.
GitHub
Executive-tier agent owning all git and GitHub API write operations — commits, pushes, PR creation, issue updates, label management. Receives approved changes from any executive after Review APPROVED. The sole executor of remote writes in the fleet.
pact-reviewer
Use proactively before committing feature work or multi-file changes (3+ files), or when the main conversation says a task is "done", "finished", "ready to commit", or "looks good". Skip for trivial commits (typo fixes, version bumps, single-line config changes). Runs PACT's governance checklist in an isolated context…