feature-planning-artifacts

feature-planning-artifacts is a skill for Claude Code, Codex from joshuadavidthomas/agent-skills. It costs 73 tokens per session (2,550 once invoked), scanned A, original, MIT.

A set of staged documents for planning complex software features before implementation.

In plain words
What is it for?
Use it to discuss a feature, outline its structure, split it into smaller vertical slices, and prepare an implementation plan.
Why use it?
It helps teams turn research, design decisions, open questions, and review checks into a plan that another developer can safely follow.

Skill for Claude CodeCodex

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

Good fit Use it to discuss a feature, outline its structure, split it into smaller vertical slices, and prepare an implementation plan.

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Install with agentmods
npx agentmods add skills/joshuadavidthomas/agent-skills/feature-planning-artifacts
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 joshuadavidthomas/agent-skills --skill feature-planning-artifacts
Clone the repo
git clone --depth 1 https://github.com/joshuadavidthomas/agent-skills

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 feature-planning-artifacts

README.md
[![agentmods](https://agentmods.dev/badge/skills/joshuadavidthomas/agent-skills/feature-planning-artifacts/github.svg)](https://agentmods.dev/skills/joshuadavidthomas/agent-skills/feature-planning-artifacts)
Your own site
<a href="https://agentmods.dev/skills/joshuadavidthomas/agent-skills/feature-planning-artifacts"><img src="https://agentmods.dev/badge/skills/joshuadavidthomas/agent-skills/feature-planning-artifacts/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 feature-planning-artifacts

Your own site · 80×15
<a href="https://agentmods.dev/skills/joshuadavidthomas/agent-skills/feature-planning-artifacts"><img src="https://agentmods.dev/badge/skills/joshuadavidthomas/agent-skills/feature-planning-artifacts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,550 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00073 $0.02550
Opus 5 $0.00036 $0.01275
Sonnet 5 $0.00015 $0.00510
Haiku 4.5 $0.00007 $0.00255

Measured 12d ago against content hash 994bf431a40c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

feature-planning-artifacts 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 12d 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.

feature-planning-artifacts/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feature Planning Artifacts

Create or update staged HumanLayer-style planning artifacts for work that needs research, design judgment, vertical slicing, or an executor-safe plan before implementation.

This skill is not a one-shot plan generator. It should normally take an input, delegate or perform reconnaissance, write or revise the current-stage artifact, then stop at the review gate. Do not continue to the next artifact until the current one is accepted or the user explicitly asks to proceed.

Treat detailed planning as meta-work: each artifact should make future implementation safer by defining success, surfacing decisions, turning recurring choices into policy when appropriate, and specifying evals/regression checks.

Open and resolved questions live in the design discussion. Plan iteration updates the plan itself.

Source Frame

Before writing or updating planning artifacts, load what applies:

  • The selected strategic-roadmap item, opportunity card, architecture candidate, or NNN-*.md plan.
  • Existing artifacts for this effort, especially the latest design discussion, outline, or plan.
  • The coding-standards skill as the canonical source for design claims. Load the matching references; do not copy the standards into this skill or artifact.
  • Project docs: AGENTS.md, README.md, CONTEXT.md, architecture docs, ADRs, verification config, current VCS state, and relevant existing plans.

The artifact rules in this skill are canonical. For source patterns and examples, read the vendored HumanLayer v2 planning skills at reference/humanlayer-riptide-v2-skills/ and the improve-codebase-architecture skill when architecture/deepening vocabulary matters.

Stage Contract

Default to the smallest stage that creates durable progress.

Stage Use when Inputs Output Stop gate
Research questions The current-state unknowns are broad or ambiguous Roadmap item, plan, user request Questions about how the system works today Stop after questions; ask whether to research
Research Questions exist and current behavior must be established before design Research questions or explicit scope Descriptive current-state research Stop after research; recommend design discussion
Design discussion A feature or architecture direction needs judgment Source item plus research or enough repo context Options, recommendation, decisions, open questions Stop for review; do not outline yet
Structure outline The design is accepted or has one clearly recommended direction Accepted/current design discussion Vertical implementation slices Stop for review; do not write final plan yet
Final plan The outline is accepted or equivalent structure is provided Accepted/current outline Executor-safe implementation plan Stop for execution handoff

Read the full file on GitHub · 170 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 170 lines · 73 tokens per session scan A 994bf431a40c

Subscribe to this mod's changes

feature-planning-artifacts is a skill published in the GitHub repository joshuadavidthomas/agent-skills (49 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 2,550 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.

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