goal-planning

goal-planning is a skill for Claude Code, Codex from cckyros/goal-acceptance. It costs 30 tokens per session (1,160 once invoked), scanned A, original, MIT.

A planning helper that breaks a multi-step coding task into separate, checkable acceptance criteria before implementation begins.

In plain words
What is it for?
Use it to plan feature work, bug fixes, and refactors that have a result you can verify.
Why use it?
It reduces missed requirements and overlapping work by defining what must be true before code is written.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to plan feature work, bug fixes, and refactors that have a result you can verify.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cckyros/goal-acceptance/goal-planning
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.

Any agent
npx skills add cckyros/goal-acceptance --skill goal-planning
Clone the repo
git clone --depth 1 https://github.com/cckyros/goal-acceptance

Made for: Claude Code, Codex.

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 goal-planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/cckyros/goal-acceptance/goal-planning/github.svg)](https://agentmods.dev/skills/cckyros/goal-acceptance/goal-planning)
Your own site
<a href="https://agentmods.dev/skills/cckyros/goal-acceptance/goal-planning"><img src="https://agentmods.dev/badge/skills/cckyros/goal-acceptance/goal-planning/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for goal-planning

Your own site · 80×15
<a href="https://agentmods.dev/skills/cckyros/goal-acceptance/goal-planning"><img src="https://agentmods.dev/badge/skills/cckyros/goal-acceptance/goal-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,160 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00030 $0.01160
Opus 5 $0.00015 $0.00580
Sonnet 5 $0.00006 $0.00232
Haiku 4.5 $0.00003 $0.00116

Measured 10d ago against content hash 38416cd1abb8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

goal-planning 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 10d 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.

assets/skills/goal-planning/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Goal Planning Skill

When a user gives a multi-step task (implement, fix, refactor, etc.), do NOT call set_acceptance_criteria directly. Instead, spawn a planning subagent that explores the codebase, drafts criteria, and checks coverage before locking.

When to Use

  • User says "implement X", "fix Y and verify", "refactor Z" — any task with a verifiable outcome.
  • Single-line answers, file reads, explanations: skip this skill.

Workflow

Step 1: Spawn Planning Subagent

Use run_subagent (or equivalent) with subagent_explore profile and this prompt template:

You are a planning agent. Your job: decompose the task below into
acceptance criteria that are non-overlapping, fully covering, and
individually verifiable.

TASK: {paste the user's original request here}

Do NOT implement anything. Do NOT write code. Only plan.

Phase 1 — EXPLORE:
- Read the relevant source files, configs, and tests.
- Identify every module, function, and interface the task touches.
- Note existing patterns and conventions.

Phase 2 — DRAFT CRITERIA:
- Write acceptance criteria. Each criterion MUST have:
  - id: kebab-case, unique (e.g. "core-default-role-agent")
  - description: specific and concrete, not vague
  - required: true if the goal cannot be achieved without it
  - method: one of "command" | "file" | "url" (NEVER "text")
  - task_ids: linked task IDs for progress tracking

Phase 3 — GOAL-BACKWARD COVERAGE CHECK:
- List every requirement implied by the task description.
- Map each requirement to the criterion(s) that cover it.
- If any requirement is UNCOVERED, add a criterion for it.
- If two criteria overlap (>80% similar description), merge them.

Phase 4 — VAGUE-VERB CHECK:
- Scan every criterion description for vague verbs:
  "implement", "ensure", "handle", "improve", "align", "clean up"
- Replace each with a concrete, verifiable action:
  BAD:  "implement error handling"
  GOOD: "wrap fetchUser in try/catch, return 404 for NotFound"
  BAD:  "improve performance"
  GOOD: "add index on orders.user_id, batch N+1 into JOIN"

Phase 5 — VERIFICATION CHECK:
- Every criterion's method must specify:
  - command: the exact command to run (e.g. "pnpm test")
  - file: the exact file path to check (e.g. "src/engine.ts")
  - url: the exact URL to verify (e.g. "GET /health returns 200")
- "run tests" is NOT sufficient. Specify expected outcome.
- "check it works" is NOT sufficient. Specify observable behavior.

Phase 6 — SUBMIT:
- Call set_acceptance_criteria with the final criteria list.
- Call set_task_plan with the task decomposition.
- Return a summary of the coverage matrix.

Read the full file on GitHub · 128 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. 10d ago First seen · 128 lines · 30 tokens per session scan A 38416cd1abb8

Subscribe to this mod's changes

goal-planning is a skill published in the GitHub repository cckyros/goal-acceptance (3 stars, last pushed 13d ago), licensed MIT. It adds 30 tokens to every session and 1,160 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 2026-08-31.

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