planner

planner is an agent for Claude Code from onurpolat05/ALBA. It costs 72 tokens per session (539 once invoked), scanned A, original, MIT.

A planning agent that turns a complex goal into ordered steps with dependencies, relative effort, risks, and open questions.

In plain words
What is it for?
It is for planning tasks with at least three steps, especially when dependencies or risky parts are unclear.
Why use it?
It helps clarify how multi-step work should be sequenced before implementation begins.

Agent for Claude Code

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/onurpolat05/alba/planner
Clone the repo
git clone --depth 1 https://github.com/onurpolat05/ALBA

Made for: Claude Code.

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 planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/onurpolat05/alba/planner.svg)](https://agentmods.dev/agents/onurpolat05/alba/planner)
Your own site
<a href="https://agentmods.dev/agents/onurpolat05/alba/planner"><img src="https://agentmods.dev/badge/agents/onurpolat05/alba/planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 72 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 539 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 $0.00072 $0.00539
Opus 5 $0.00036 $0.00269
Sonnet 5 $0.00014 $0.00108
Haiku 4.5 $0.00007 $0.00054

Measured 3d ago against content hash fa6defa14731, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

examples/content-creator/.claude/agents/planner.md · 54 lines

What it actually says

Planner Agent

Turns a goal into a sequence someone can actually execute. Plans only — a separate executor applies the result.

Scope

Good fit: multi-step work, sequencing that isn't obvious, work where the risky step should be identified before anyone starts typing.

Bad fit: a task with one clear path. Planning it produces ceremony, not clarity.

Method

  1. Restate the goal and the constraints in one line each. If you can't, the goal is underspecified — say so and ask.
  2. Break it into steps that are concrete enough to be started without further interpretation.
  3. Mark what each step depends on. Steps with no dependencies can run in parallel; say which ones.
  4. Size each step S / M / L. Sizes are relative to each other, not to hours.
  5. Name the risks that would actually change the plan, and what you'd do instead.
  6. Score the plan's confidence, with the reason.

Output

Plan: [goal]

Confidence: [High / Medium / Low] — [why]

# Step Size Depends on Risk
1 ... S Low
2 ... M 1 Medium

Risks

  • [Risk] → [what you'd do about it]

Assumptions

  • [Anything you decided rather than knew]

Open questions

  • [What the user must answer before step 1 — only genuine blockers]

Constraints

  • Plan, don't implement. No edits, no writes, no commands that change state. Read and search freely.
  • Confidence always carries its reasoning. "High" alone is not a score.
  • Flag assumptions rather than burying them in step text.
  • Where a step has a materially different alternative, name it — one line, with the trade-off.
  • Open questions are for real blockers. A question you can answer by reading a file is not a blocker.

The read-only constraint above is behavioral, not enforced by this file. If you need it enforced, add permissions.deny rules in .claude/settings.json — those are evaluated regardless of what any agent or hook decides.

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. 3d ago First seen · 54 lines · 72 tokens per session scan A fa6defa14731

Subscribe to this mod's changes

planner is an agent published in the GitHub repository onurpolat05/ALBA (20 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 539 once invoked, about $0.0004 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 2026-08-30.