Agent skill

Maestro Odyssey

by catlog22 in catlog22/maestro-flow

Long-running iterative cycle — one entry, seven modes (debug|improve|planex|review|security|defensive|ui).

No licenceAuto-check: notesMobile

Install Maestro Odyssey

skills CLI
$ npx skills add catlog22/maestro-flow --skill maestro-odyssey -a claude-code

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

GitHub CLI
$ gh skill install catlog22/maestro-flow maestro-odyssey --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/catlog22/maestro-flow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/maestro-odyssey .claude/skills/maestro-odyssey && 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
maestro-odyssey
GitHub stars
564
Token cost
~4.1k tokens
SKILL.md length
1,691 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
None found

At a glance

Long-running iterative cycle — one entry, seven modes (debug|improve|planex|review|security|defensive|ui).

  • Works in 8 steps: Evidence append-only — never delete or… → Phase goal tracking — mark each goal… → Generalize is mandatory — GENERALIZE and… → …
  • Tasks that involve Mobile testing and debugging
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Maestro Odyssey is an agent skill from catlog22/maestro-flow. Long-running iterative cycle — one entry, seven modes (debug|improve|planex|review|security|defensive|ui). Shared archaeology/audit → fix → verify → generalize → discover → persist skeleton with mode-specific dimensions. User-invoked campaign entry; single-step fixes route via /maestro-next

Its SKILL.md is about 4.1k 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 Mobile, covering Mobile testing and debugging. The repository describes itself as: Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini….

When your agent uses it

  • Tasks that involve Mobile testing and debugging

Example prompts

  • “/maestro-odyssey”

Requirements

  • Pre-approved tools (allowed-tools): Bash, Edit, Glob, Grep, Read, Write, followup_task, interrupt_agent, list_agents, request_user_input, send_message, spawn_agent, spawn_agents_on_csv, update_plan, wait_agent

Workflow steps

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

  1. Evidence append-only — never delete or overwrite evidence.ndjson entries.
  2. Phase goal tracking — mark each goal done/failed before transition; no silent skips.
  3. Generalize is mandatory — GENERALIZE and DISCOVER execute unless skip_generalize == true. Prior-phase convergence, "no findings / all…
  4. Zero-residual (improve/review/ui) — every finding MUST have a concrete action (fix / issue / decision). "Report and shelve" and blanket…
  5. Read-only (security, defensive) — NEVER modify source code, configuration, or dependencies. Security and defensive audits produce reports…
  6. Acceptance criteria are sacred (planex) — no "close enough", no manual override without explicit escalation.
  7. Browser is truth (ui) — verify in real rendering, not just code review. Diverge before converge.
  8. Goal 跟宿主原生 /goal 走 — session.json 是权威进度。不要为了刷新外观去重建 Goal;用户 clear 之后外观必须保持消失。

What it can do on your machine

Read from SKILL.md and the folder at commit f888cec. 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:

    • Bash
    • Edit
    • Glob
    • Grep
    • Read
    • Write
    • followup_task
    • interrupt_agent
    • list_agents
    • request_user_input

    …and 5 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

Maestro Odyssey loads about 4.1k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 1,691 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k

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: Bash, Edit, Glob, Grep, Read, Write, followup_task, interrupt_agent, list_agents, request_user_input

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,691 words (~4,130 tokens).

name
maestro-odyssey
allowed-tools
Bash, Edit, Glob, Grep, Read, Write, followup_task, interrupt_agent, list_agents, request_user_input, send_message, spawn_agent, spawn_agents_on_csv, update_plan, wait_agent
disable-model-invocation
true
argument-hint
<intent> --mode debug|improve|planex|review|security|defensive|ui [-y] [-c]
session-mode
run
contract.discovery
self-described
version
0.5.91

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .codex/skills/maestro-odyssey of catlog22/maestro-flow.

Open the folder on GitHubat commit f888cec

Compare with similar skills

Maestro Odyssey 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.

Maestro Odyssey compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Maestro Odyssey this skillcatlog22/maestro-flow564—~4.1kAutomated safety check: NotesNone
Phone HarnessShawnPana/phone-harness3.2k—~4.3kAutomated safety check: PassMIT
Maa Issue Log AnalysisMaaAssistantArknights/MaaAssistantArknights24k—~4kAutomated safety check: PassAGPL-3.0
Mobile QAtloncorp/tlon-apps107—~2.4kAutomated safety check: PassMIT
Store Listing Screenshotstherxmv/Telegram-Themer119—~2.5kAutomated safety check: PassNone
Maestro ImproveReinaMacCredy/maestro233—~1.9kAutomated safety check: PassMIT

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Categories

Questions about Maestro Odyssey

What does Maestro Odyssey do?

Long-running iterative cycle — one entry, seven modes (debug|improve|planex|review|security|defensive|ui). Maestro Odyssey is an agent skill from catlog22/maestro-flow. Long-running iterative cycle — one entry, seven modes (debug|improve|planex|review|security|defensive|ui).

When should I use Maestro Odyssey?

Maestro Odyssey fits situations like: tasks that involve Mobile testing and debugging.

How do I install Maestro Odyssey in Claude Code?

Run `npx skills add catlog22/maestro-flow --skill maestro-odyssey -a claude-code`. Or copy the skill folder (.codex/skills/maestro-odyssey in catlog22/maestro-flow) into .claude/skills/maestro-odyssey in your project. Claude Code loads it when a task matches its description.

How do I install Maestro Odyssey in Codex?

Run `npx skills add catlog22/maestro-flow --skill maestro-odyssey -a codex`. Or copy the skill folder (.codex/skills/maestro-odyssey in catlog22/maestro-flow) into .agents/skills/maestro-odyssey in your project. Codex loads it when a task matches its description.

Can I use Maestro Odyssey 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 catlog22/maestro-flow --skill maestro-odyssey -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/maestro-odyssey, .gemini/skills/maestro-odyssey, .github/skills/maestro-odyssey and .opencode/skills/maestro-odyssey in your project.

What does Maestro Odyssey need to run?

SKILL.md names no scripts, command-line tools or credentials: Maestro Odyssey is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Edit, Glob, Grep, Read, Write, followup_task, interrupt_agent, list_agents, request_user_input, send_message, spawn_agent, spawn_agents_on_csv, update_plan, wait_agent.

Does Maestro Odyssey 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 Maestro Odyssey 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 Maestro Odyssey use?

No licence was found for Maestro Odyssey or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Maestro Odyssey use?

About 4.1k tokens (SKILL.md is roughly 17k 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 Maestro Odyssey?

Skills that share tags, products or a category with Maestro Odyssey: Phone Harness (ShawnPana/phone-harness, 3.2k stars), Maa Issue Log Analysis (MaaAssistantArknights/MaaAssistantArknights, 24k stars), Mobile QA (tloncorp/tlon-apps, 107 stars) and Store Listing Screenshots (therxmv/Telegram-Themer, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Maestro Odyssey?

catlog22 (a GitHub user) maintains it in catlog22/maestro-flow, which has 564 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 8, 2026.

Source: catlog22/maestro-flow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.