Agent skill

Horizon Track

by ruvnet in ruvnet/ruflo

Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection

MITAuto-check: notesProduct & Project Management

Install Horizon Track

skills CLI
$ npx skills add ruvnet/ruflo --skill horizon-track -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ruvnet/ruflo horizon-track --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ruflo-goals/skills/horizon-track .claude/skills/horizon-track && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
horizon-track
GitHub stars
74k
Token cost
~744 tokens
SKILL.md length
205 words
Files
1
Skills in repo
265
Repo updated
First seen
Licence
MIT

At a glance

Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection

  • Works in 7 steps: Initialize horizon — define the… → Store horizon — call… → Session check-in — at the start of each… → …
  • Tasks that involve Project management
  • SKILL.md covers When to use, Steps and Memory namespaces
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Horizon Track is an agent skill from ruvnet/ruflo. Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection

Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Product & Project Management, covering Project management and GitOps. It works with Model Context Protocol. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.

When your agent uses it

  • Tasks that involve Project management
  • Tasks that involve GitOps

Example prompts

  • “/horizon-track”

Requirements

  • Pre-approved tools (allowed-tools): mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__memory_search, mcp__plugin_ruflo-core_ruflo__memory_list, mcp__plugin_ruflo-core_ruflo__memory_retrieve, mcp__plugin_ruflo-core_ruflo__task_list, mcp__plugin_ruflo-core_ruflo__task_summary, mcp__plugin_ruflo-core_ruflo__progress_check, mcp__plugin_ruflo-core_ruflo__progress_summary, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall, mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-store, mcp__plugin_ruflo-core_ruflo__session_save, mcp__plugin_ruflo-core_ruflo__session_restore, Bash, Read, Write

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Initialize horizon — define the objective, target date, and 3-7 milestones
  2. Store horizon — call mcpplugin_ruflo-core_ruflomemory_store with namespace horizons and key horizon-[name]
  3. Session check-in — at the start of each session
  4. Work and record — as work progresses
  5. Session check-out — at the end of each session
  6. Milestone completion — when a milestone is done
  7. Drift detection — flag when

What it can do on your machine

Read from SKILL.md and the folder at commit 6c04654. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • mcp__plugin_ruflo-core_ruflo__memory_store
    • mcp__plugin_ruflo-core_ruflo__memory_search
    • mcp__plugin_ruflo-core_ruflo__memory_list
    • mcp__plugin_ruflo-core_ruflo__memory_retrieve
    • mcp__plugin_ruflo-core_ruflo__task_list
    • mcp__plugin_ruflo-core_ruflo__task_summary
    • mcp__plugin_ruflo-core_ruflo__progress_check
    • mcp__plugin_ruflo-core_ruflo__progress_summary
    • mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store
    • mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall

    …and 6 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Horizon Track loads about 744 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 205 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~744

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__memory_search, mcp__plugin

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ruvnet/ruflo at commit 6c04654, republished under its MIT licence (© ruvnet). 205 words, ~744 tokens.

Download SKILL.mdSave it as .claude/skills/horizon-track/SKILL.md (or your agent's skills folder).
name
horizon-track
description
Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection
allowed-tools
mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__memory_search, mcp__plugin_ruflo-core_ruflo__memory_list, mcp__plugin_ruflo-core_ruflo__memory_retrieve, mcp__plugin_ruflo-core_ruflo__task_list, mcp__plugin_ruflo-core_ruflo__task_summary, mcp__plugin_ruflo-core_ruflo__progress_check, mcp__plugin_ruflo-core_ruflo__progress_summary, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall, mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-store, mcp__plugin_ruflo-core_ruflo__session_save, mcp__plugin_ruflo-core_ruflo__session_restore, Bash, Read, Write
argument-hint
<objective-name>

Horizon Track

Track long-running objectives that span multiple sessions, days, or weeks.

When to use

When an objective is too large for a single session — multi-week features, research programs, migration projects, or any work that requires persistent progress tracking across conversations.

Steps

  1. Initialize horizon — define the objective, target date, and 3-7 milestones
  2. Store horizon — call mcp__plugin_ruflo-core_ruflo__memory_store with namespace horizons and key horizon-[name]:
    json
    {
      "objective": "...",
      "created": "2026-04-28",
      "targetDate": "2026-05-15",
      "milestones": [
        {"id": "m1", "name": "...", "criteria": "...", "status": "pending"},
        {"id": "m2", "name": "...", "criteria": "...", "status": "pending"}
      ],
      "currentMilestone": "m1",
      "sessions": []
    }
  3. Session check-in — at the start of each session:
    • Recall horizon: mcp__plugin_ruflo-core_ruflo__memory_retrieve key horizon-[name] namespace horizons
    • Review milestone status
    • Assess drift (are we still on track?)
    • Plan this session's contribution
  4. Work and record — as work progresses:
    • Update milestone status
    • Record session summary
    • Store intermediate findings
  5. Session check-out — at the end of each session:
    • Update horizon state in memory
    • Record what was accomplished
    • Note blockers or scope changes
    • Estimate remaining effort
  6. Milestone completion — when a milestone is done:
    • Verify completion criteria met
    • Store learned patterns via mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-store
    • Advance to next milestone
  7. Drift detection — flag when:
    • Progress rate suggests target date will be missed
    • Scope has grown beyond original definition
    • Dependencies have changed
    • Approach needs fundamental rethinking

Memory namespaces

  • horizons — active horizon definitions and state
  • horizon-sessions — per-session summaries keyed by [horizon]-[date]
  • horizon-learnings — patterns and insights discovered during the horizon

© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/ruflo-goals/skills/horizon-track of ruvnet/ruflo.

Open the folder on GitHubat commit 6c04654

Compare with similar skills

Horizon Track next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Horizon Track compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Horizon Track this skillruvnet/ruflo74k—~744Automated safety check: NotesMIT
Jira Natural Language Interfacejjmartres/opencode1333 repos~1.7kAutomated safety check: PassMIT
Fireauto Project Guideimgompanda/fireauto140—~674Automated safety check: PassMIT
Roam Milestone PlanningCranot/roam-code517—~1.2kAutomated safety check: PassApache-2.0
Project ManagerTh0rgal/sandboxed.sh516—~1.8kAutomated safety check: PassMIT
Pm Skillsalirezarezvani/claude-skills28k—~2.6kAutomated safety check: PassMIT

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Questions about Horizon Track

What does Horizon Track do?

Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection. Horizon Track is an agent skill from ruvnet/ruflo.

When should I use Horizon Track?

Horizon Track fits situations like: tasks that involve Project management; tasks that involve GitOps.

How do I install Horizon Track in Claude Code?

Run `npx skills add ruvnet/ruflo --skill horizon-track -a claude-code`. Or copy the skill folder (plugins/ruflo-goals/skills/horizon-track in ruvnet/ruflo) into .claude/skills/horizon-track in your project. Claude Code loads it when a task matches its description.

How do I install Horizon Track in Codex?

Run `npx skills add ruvnet/ruflo --skill horizon-track -a codex`. Or copy the skill folder (plugins/ruflo-goals/skills/horizon-track in ruvnet/ruflo) into .agents/skills/horizon-track in your project. Codex loads it when a task matches its description.

Can I use Horizon Track in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill horizon-track -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/horizon-track, .gemini/skills/horizon-track, .github/skills/horizon-track and .opencode/skills/horizon-track in your project.

What does Horizon Track need to run?

SKILL.md names no scripts, command-line tools or credentials: Horizon Track is instructions for the agent only. Its frontmatter pre-approves these tools: mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__memory_search, mcp__plugin_ruflo-core_ruflo__memory_list, mcp__plugin_ruflo-core_ruflo__memory_retrieve, mcp__plugin_ruflo-core_ruflo__task_list, mcp__plugin_ruflo-core_ruflo__task_summary, mcp__plugin_ruflo-core_ruflo__progress_check, mcp__plugin_ruflo-core_ruflo__progress_summary, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store, mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall, mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-store, mcp__plugin_ruflo-core_ruflo__session_save, mcp__plugin_ruflo-core_ruflo__session_restore, Bash, Read, Write.

Does Horizon Track access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Horizon Track safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Horizon Track use?

Horizon Track is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Horizon Track use?

About 744 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Horizon Track?

Skills that share tags, products or a category with Horizon Track: Jira Natural Language Interface (jjmartres/opencode, 133 stars), Fireauto Project Guide (imgompanda/fireauto, 140 stars), Roam Milestone Planning (Cranot/roam-code, 517 stars) and Project Manager (Th0rgal/sandboxed.sh, 516 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Horizon Track?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,222 GitHub stars. The repository holds 265 skills in this directory. The repository was last updated on October 10, 2026.

Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.