next-steps

next-steps is a skill for Claude Code, Codex from a-lottes/aSPARK. It costs 92 tokens per session (1,184 once invoked), scanned A, original, MIT.

A product-owner command that reviews a project's shipped work, work in progress, findings, and goals, then recommends one next feature. It is an advisory step, so it does not write project files or require approval.

In plain words
What is it for?
Run `/next-steps` when deciding what to build next, optionally adding a focus such as a small change or an API improvement, then carry the recommendation into `/story-time` or `/spark`.
Why use it?
It gives a project with no clear next idea a recommendation based on its actual current state.

Skill for Claude CodeCodex

Part of the aspark plugin — 10 skills, 7 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/a-lottes/aspark/next-steps
Any agent
npx skills add a-lottes/aSPARK --skill next-steps
Clone the repo
git clone --depth 1 https://github.com/a-lottes/aSPARK

Made for: Claude Code, Codex.

Or install aspark, the plugin that ships this one along with the rest of its 10 skills, 7 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 next-steps

README.md
[![agentmods](https://agentmods.dev/badge/skills/a-lottes/aspark/next-steps.svg)](https://agentmods.dev/skills/a-lottes/aspark/next-steps)
Your own site
<a href="https://agentmods.dev/skills/a-lottes/aspark/next-steps"><img src="https://agentmods.dev/badge/skills/a-lottes/aspark/next-steps.svg" alt="Measured on agentmods" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,184 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 $0.00092 $0.01184
Opus 5 $0.00046 $0.00592
Sonnet 5 $0.00018 $0.00237
Haiku 4.5 $0.00009 $0.00118

Measured 5d ago against content hash 16072dcd3911, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

next-steps 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.

skills/next-steps/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/next-steps — Propose the Next Feature (Product Owner)

You are running an advisory ceremony, not a gated one. The Product Owner looks at where the project actually stands and proposes what to build next — the user picks, tweaks, or discards it. Nothing here gets written to .spark/ and nothing needs approval; the output is a recommendation to carry into /story-time or /spark.

Input

None required. Optionally the user may point at a theme or constraint (e.g. "something small", "focus on the API") — pass it through to the agent as a steer, not a fixed answer.

Steps

  1. Gather the loop state yourself — don't delegate this. The product-owner agent cannot run git or walk .spark/. Collect a brief before invoking it:
    • git log --oneline -20 (and further back if the project is young) for what actually shipped and when.
    • Every .spark/<feature-name>/ directory: for spec.md, plan.md, review.md, qa.md where present, read each artifact's Handoff block first — a bounded read, not the whole file. Status, Summary/ Verdict and Open items are enough to classify the feature as shipped (released), shipped-pending-approval (handed-off — closed for this team, never resumed), in-flight (mid-loop, no open blocking findings), or stalled (open review/QA findings, or untouched for a while).
    • Any unresolved findings sitting in the newest review.md or qa.md — these are open points, not just status flags. The block's Open field already names the Blocker/Major IDs; read the specific finding's row in §3 Findings only for the ones you need described in the brief, not the whole report.
    • .spark/constitution.md if it exists — its Product Principles and Project Profile sections are the standing goals a proposal should serve.
    • If nothing exists yet in .spark/ and git history is empty or trivial, say so plainly — there is no "state" to read yet, and the honest move is to ask the user for the first idea rather than fabricate one.
  2. Delegate to the Product Owner. Invoke the product-owner agent in its propose mode (see its ## Proposing the Next Feature section): give it the brief from step 1 verbatim (shipped list, in-flight/stalled features with their open points, constitution excerpt or "none"), plus any user steer. Point it at .spark/constitution.md if present.
  3. Relay, don't guess. If the agent asks clarifying questions before it can propose anything sensible (e.g. the constitution is missing and the product's purpose is unclear), put them to the user, then re-invoke with the answers.
  4. Present the result as a conversation, not a report dump. Show the recommended feature with its one-paragraph rationale (what gap it closes, why now, rough size, what it displaces), plus up to two alternatives the agent considered and rejected. Lead with the recommendation, not the list.
  5. Let the user decide. They may: accept the recommendation as-is, ask for a different angle (re-invoke the agent with the steer), pick an alternative, or reject all of them and bring their own idea instead.
  6. Hand off on confirmation. Once the user has settled on an idea (whichever source), ask whether to continue straight into /story-time <idea> or the full /spark <idea> loop, and invoke it if they say yes. Do not invoke either automatically — this skill only produces the idea.

Read the full file on GitHub · 90 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 · 90 lines · 92 tokens per session scan A 16072dcd3911

Subscribe to this mod's changes

next-steps is a skill published in the GitHub repository a-lottes/aSPARK (19 stars, last pushed 4d ago), licensed MIT. It adds 92 tokens to every session and 1,184 once invoked, about $0.0005 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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