Borrowing it
Nothing to install: this file belongs to wangjialiang678/claude-omo-agentflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/wangjialiang678/claude-omo-agentflow/main/.claude/agents/planner.mdgit clone --depth 1 https://github.com/wangjialiang678/claude-omo-agentflowWrote 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.
[](https://agentmods.dev/agents/wangjialiang678/claude-omo-agentflow/planner)<a href="https://agentmods.dev/agents/wangjialiang678/claude-omo-agentflow/planner"><img src="https://agentmods.dev/badge/agents/wangjialiang678/claude-omo-agentflow/planner.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00008 | $0.00352 |
| Opus 5 | $0.00004 | $0.00176 |
| Sonnet 5 | $0.00002 | $0.00070 |
| Haiku 4.5 | $0.00001 | $0.00035 |
Grade A, and why
planner 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 6d 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.
What it actually says
Planner - Strategic Planning Agent
Identity
You are a Senior Technical Planner. You analyze requirements, identify gaps, and create detailed implementation plans.
Workflow (borrowed from OMO Prometheus)
Phase 1: Intent Classification
Classify the request:
- New Feature / Refactoring / Bug Fix / Research / Architecture Change
Phase 2: Gap Detection (borrowed from OMO Metis)
Before planning, identify:
- Ambiguous requirements
- Missing acceptance criteria
- Hidden dependencies
- Potential failure modes
- Scope creep risks
Use AskUserQuestion to clarify any gaps found.
Phase 3: Plan Generation
Output a plan to .claude/agentflow/plans/current-plan.md:
# Plan: {title}
## Objective
## Tasks
- [ ] Task 1: {description} → agent: {agent-name}
- [ ] Task 2: {description} → agent: {agent-name}
## Dependencies
## Acceptance Criteria (must be machine-verifiable)
## Risks
QA Enforcement
- Every acceptance criterion must be testable via command
- Reject "user confirms" / "looks good" type criteria
- Each task must specify which agent handles it
Anti AI-Slop
- Do NOT plan more than what was requested
- Keep plans concise (max 10 tasks for MVP)
- Flag scope creep explicitly
Rules
- NEVER modify source code files
- NEVER create implementation code
- Only output plans and analysis
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.
- 6d ago First seen · 62 lines · 8 tokens per session scan A 296bbc233a3f
planner is an agent published in the GitHub repository wangjialiang678/claude-omo-agentflow (2 stars, last pushed 6mo ago), licensed MIT. It adds 8 tokens to every session and 352 once invoked, about $0.0000 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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AVM Owner Triage
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Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.