story-time

story-time is a skill for Claude Code from a-lottes/aSPARK. It costs 67 tokens per session (1,059 once invoked), scanned A, original, MIT.

A product-specification workflow that turns a new feature or product idea into a written specification with user stories and testable acceptance criteria. TDD-style acceptance criteria describe how to tell whether the requested behavior works.

In plain words
What is it for?
Use it to name a feature, question its assumptions, define user stories, and produce or rework a testable spec.
Why use it?
It helps expose unclear requirements and decide whether an idea should be built before coding starts. It can also challenge and revise an existing specification.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the aspark plugin — 10 skills, 7 agents shipped together

Good fit Use it to name a feature, question its assumptions, define user stories, and produce or rework a testable spec.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add a-lottes/aSPARK
Claude Code
/plugin install aspark

Made for: Claude Code.

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 story-time

README.md
[![agentmods](https://agentmods.dev/badge/skills/a-lottes/aspark/story-time/github.svg)](https://agentmods.dev/skills/a-lottes/aspark/story-time)
Your own site
<a href="https://agentmods.dev/skills/a-lottes/aspark/story-time"><img src="https://agentmods.dev/badge/skills/a-lottes/aspark/story-time/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 story-time

Your own site · 80×15
<a href="https://agentmods.dev/skills/a-lottes/aspark/story-time"><img src="https://agentmods.dev/badge/skills/a-lottes/aspark/story-time.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,059 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 $0.00067 $0.01059
Opus 5 $0.00034 $0.00530
Sonnet 5 $0.00013 $0.00212
Haiku 4.5 $0.00007 $0.00106

Measured 9d ago against content hash 46eedabda439, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

story-time 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 9d 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/story-time/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/story-time — Specify (Product Owner)

You are running the Specify ceremony. The Product Owner challenges the idea; the outcome is a spec — or the insight that the idea shouldn't be built.

Input

The user's feature idea, usually passed as the command argument. If no idea was provided, ask for it before doing anything else.

Steps

  1. Name the feature. Derive a short kebab-case feature name from the idea (e.g. weekly-stats-dashboard). If .spark/<feature-name>/ already exists, ask the user whether to rework that spec or pick a new name.
  2. Resolve active lenses. The constitution is the single source of truth. If .spark/constitution.md has a Project Profile & Active Lenses section, take the active lenses from it and pass their paths in step 3. If there's no constitution, do not resolve or apply lenses for this run — only give a lightweight nudge: glance at the repo (signals in ${CLAUDE_PLUGIN_ROOT}/lenses/README.md), name the likely type(s) in one line (e.g. "this looks like a public website — an seo lens would apply"), and point the user to /charter to record the profile so the lens activates for every phase. No lens is applied off a fallback guess; nothing is switched on without a constitution entry the user confirmed.
  3. Delegate to the Product Owner. Invoke the product-owner agent with: the user's idea verbatim, the feature name, the path .spark/<feature-name>/spec.md, and the spec template from ${CLAUDE_PLUGIN_ROOT}/templates/spec.md. Point it at .spark/constitution.md if that file exists — the spec must live within it. Pass the paths of any active lenses (${CLAUDE_PLUGIN_ROOT}/lenses/<name>.md) so the PO captures their concerns as measurable NFRs.
  4. Relay, don't guess. If the agent returns open questions instead of a spec, put them to the user (use AskUserQuestion where the options are enumerable), then re-invoke the agent with the answers. Repeat until the spec is drafted.
  5. Run the Clarify pass. Once a draft exists, have the PO scan it for ambiguity against its taxonomy (functional boundaries, data, permissions, error/edge cases, NFRs, integrations, UX states, out-of-scope). Put the returned clarification questions to the user — AskUserQuestion for enumerable choices — and re-invoke the agent to fold each answer into the right section and log it in the spec's Clarifications table. Repeat until no high-impact ambiguity is left unresolved or unparked. Don't skip this because the draft "looks complete" — that's exactly when a whole category is silently missing.
  6. Present the result. Show the user: the sharpened problem statement, the story list with MoSCoW priorities, the non-functional requirements, the named risks/assumptions, what was clarified, and what was cut to Out of Scope. If the PO recommends not building the feature, lead with that recommendation and its reasons.
  7. Iterate. Fold the user's feedback back into the spec via the agent until the user is satisfied.
  8. Walk the gate. Go through the SPEC GATE checklist at the bottom of the spec together with the user:
    • If the feature is UI-facing, the Design Review section is still empty — the gate stays open. Set status draft and hand off to /look-and-feel.
    • If design review is N/A (record why), ask the user for approval. Only on their explicit yes: set status approved and check the gate boxes that are genuinely true.

Read the full file on GitHub · 85 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. 9d ago First seen · 85 lines · 67 tokens per session scan A 46eedabda439

Subscribe to this mod's changes

story-time is a skill published in the GitHub repository a-lottes/aSPARK (19 stars, last pushed 8d ago), licensed MIT. It adds 67 tokens to every session and 1,059 once invoked, about $0.0003 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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