planr-goal

planr-goal is a skill for Claude Code, Codex from instructa/planr. It costs 31 tokens per session (852 once invoked), scanned A, original, MIT.

A preparation workflow for a long-running Planr goal, where a goal is a larger coding outcome tracked over time. It creates a checked plan, connected task map, written agreement, and handoff for later work.

In plain words
What is it for?
Use it to clarify vague goals, recover existing Planr work, define how success will be proven, and prepare tasks without implementing them.
Why use it?
It turns an unclear or complex request into durable instructions and proof requirements before anyone changes product code.

Skill for Claude CodeCodex

Part of the planr plugin — 10 skills, 2 agents 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 skills/instructa/planr/planr-goal
Any agent
npx skills add instructa/planr --skill planr-goal
Clone the repo
git clone --depth 1 https://github.com/instructa/planr

Made for: Claude Code, Codex.

Or install planr, the plugin that ships this one along with the rest of its 10 skills, 2 agents.

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 planr-goal

README.md
[![agentmods](https://agentmods.dev/badge/skills/instructa/planr/planr-goal.svg)](https://agentmods.dev/skills/instructa/planr/planr-goal)
Your own site
<a href="https://agentmods.dev/skills/instructa/planr/planr-goal"><img src="https://agentmods.dev/badge/skills/instructa/planr/planr-goal.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 852 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 $0.00031 $0.00852
Opus 5 $0.00015 $0.00426
Sonnet 5 $0.00006 $0.00170
Haiku 4.5 $0.00003 $0.00085

Measured 5d ago against content hash bc8b90283460, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

planr-goal 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 5d 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.

plugins/planr/skills/planr-goal/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Planr Goal

Read and apply the canonical Evidence ownership guard before goal preparation.

Prep only. Compile intent into durable Planr state, then stop. During goal prep, do not implement, refactor, verify, or touch product code. Allowed work is reading Planr state, clarifying material ambiguity, creating/refining/checking plans, building/linking the map, storing the contract, and printing the loop handoff.

Evaluation subcommands run only when the user explicitly requests them, the selected item's acceptance criteria require them, or the maintainer release workflow invokes them. Never invoke them as routine or opportunistic goal, loop, or task-graph work.

Intake

Classify the request:

  • specific: compile directly;
  • vague: ask at most two questions about outcome and proof, then record labeled assumptions;
  • existing plan: preserve its steps, files, and constraints as refinement notes;
  • recovery: inspect planr map show --json and planr recover sweep before creating anything.

Capture a goal oracle: the observable test, browser flow, executed CLI, or real API response that proves the outcome runs.

Compile

planr project show --json
planr plan new "<goal>" --platform <platform>
planr plan refine <plan-id> --note "<constraint or assumption>"
planr plan check <plan-id>
planr map build --from <plan-id>

Fill required plan sections directly. Give every build plan a non-empty, unique frontmatter criteria list with only stable id and title fields; prose under ## Acceptance Criteria remains narrative and never supplies identity. Replace the placeholder task with independently verifiable TASK-00n slices before planr map build. A small coherent change is one implementation item with Binding Evidence; add an independent material ReviewGate only when the plan names protected risk that requires it. Larger scopes still use multiple slices where ownership, dependencies, or independently observable outcomes genuinely differ. Preserve real execution order with blocks links. When registry routes use work_type, annotate tasks before mapping or retag them afterward; this is prep work, not a user question.

Read the full file on GitHub · 54 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. 5d ago First seen · 54 lines · 31 tokens per session scan A bc8b90283460

Subscribe to this mod's changes

planr-goal is a skill published in the GitHub repository instructa/planr (72 stars, last pushed 8d ago), licensed MIT. It adds 31 tokens to every session and 852 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 2026-08-30.

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