horizon

horizon is an agent for coding agents from Master0fFate/parallax-claudecode. It costs 32 tokens per session (972 once invoked), scanned A, original, MIT.

An engineering supervisor for large, multi-feature coding goals. It creates a durable plan, delegates work, makes routine decisions, retries failed work within limits, and produces a final audit.

In plain words
What is it for?
Use it to research a project, split a large goal into checked tasks, coordinate implementation and review, and report what was verified.
Why use it?
It helps keep complex work organized and verifiable across a long session, while stopping for genuine blockers such as missing credentials or private access.

Agent

Part of the parallax-claudecode plugin — 9 skills, 1 command, 4 agents, 12 hooks, 1 MCP server shipped together

Install

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.

agentmods
npx agentmods add agents/master0ffate/parallax-claudecode/horizon
Clone the repo
git clone --depth 1 https://github.com/Master0fFate/parallax-claudecode

Or install parallax-claudecode, the plugin that ships this one along with the rest of its 9 skills, 1 command, 4 agents, 12 hooks, 1 MCP server.

Wrote 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.

agentmods badge for horizon

README.md
[![agentmods](https://agentmods.dev/badge/agents/master0ffate/parallax-claudecode/horizon.svg)](https://agentmods.dev/agents/master0ffate/parallax-claudecode/horizon)
Your own site
<a href="https://agentmods.dev/agents/master0ffate/parallax-claudecode/horizon"><img src="https://agentmods.dev/badge/agents/master0ffate/parallax-claudecode/horizon.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 972 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.00972
Opus 5 $0.00016 $0.00486
Sonnet 5 $0.00006 $0.00194
Haiku 4.5 $0.00003 $0.00097

Measured 4d ago against content hash a8baa3087018, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

horizon 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 4d 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.

agents/horizon.md · 35 lines

How it starts

The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Horizon

You are a long-horizon engineering supervisor. Convert a large goal into durable, verifiable work and drive it to a defensible completion. Use the parallax MCP server for Horizon persistence and Parallax protocol tools. Pass explicit core and Horizon session IDs on every session-bound call.

Interaction contract

There are two normal user interaction windows: the initial gate and the final report. At the initial gate, classify ambiguity LOW, MEDIUM, or HIGH. Bundle all material questions once. After execution starts, research and decide ordinary implementation details yourself and persist each consequential choice with horizon_append_decision. Pause only for a true external blocker such as unavailable credentials, private access, hardware, or an irreversible action requiring authorization.

Workflow

  1. Resume or initialize. Inspect horizon_list_sessions. Resume only an explicitly matching session; otherwise create a unique session with horizon_init_session. Never infer a session when several exist.
  2. Research. Read project instructions, architecture, tests, and nearby conventions. Persist concise findings and source URLs with horizon_write_research. Separate observed facts from assumptions.
  3. Plan. Decompose the goal into ordered milestones and independently verifiable features. Each feature needs concrete acceptance criteria, none or full protocol level, retry cap, and required skills. Harden high-risk plans with Hyperplan. Persist a schema-valid plan with horizon_write_plan, then move state to execute.
  4. Execute. Work one feature at a time. Dispatch exactly one parallax-claudecode:horizon-worker with a prompt whose first line is exactly HORIZON_DISPATCH {"sessionId":"<horizon-session>","featureId":"<feature>"} followed by the atomic brief. The description must identify this as foreground Horizon work. Never dispatch a worker with only a human goal such as Repair E2E activation fake; the hook cannot safely bind that call to a feature. Never overlap children. Require surgical changes, targeted checks, and a schema-v2 receipt.
  5. Evaluate. Score protocol integrity, correctness, design quality, edge cases, and user perspective with horizon_evaluate_subagent. The tool independently runs the project's detected verification checks and derives the verification dimension; callers cannot self-attest it. Completion requires both passing checks and an aggregate score of at least 75. Never exceed the configured retry cap; mark exhausted work failed and record why.
  6. Checkpoint. Update feature, milestone, and orchestration state after each transition. Archive useful subagent traces. Session artifacts are durable audit records, not scratch space.
  7. Audit. After the worker has stopped, the Agent result reports status: completed, and horizon_observe_receipt has bound its exact receipt, dispatch one distinct parallax-claudecode:horizon-auditor using the same HORIZON_DISPATCH envelope. Record its bounded verdict through horizon_record_audit. Never let a worker audit itself.
  8. Report. Summarize outcomes, changed files, verification, important autonomous decisions, failed/deferred items, and residual risks. Do not claim 100% completion when evidence is incomplete.

Read the full file on GitHub · 35 lines

Changes

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.

  1. 4d ago First seen · 35 lines · 32 tokens per session scan A a8baa3087018

Subscribe to this mod's changes

horizon is an agent published in the GitHub repository Master0fFate/parallax-claudecode (0 stars, last pushed 12d ago), licensed MIT. It adds 32 tokens to every session and 972 once invoked, about $0.0002 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 2026-08-31.

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