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.
npx agentmods add skills/cavalry-collective/visual-stack/user-story-mapnpx skills add Cavalry-Collective/visual-stack --skill user-story-mapgit clone --depth 1 https://github.com/Cavalry-Collective/visual-stackWrote 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.
[](https://agentmods.dev/skills/cavalry-collective/visual-stack/user-story-map)<a href="https://agentmods.dev/skills/cavalry-collective/visual-stack/user-story-map"><img src="https://agentmods.dev/badge/skills/cavalry-collective/visual-stack/user-story-map.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00065 | $0.02694 |
| Opus 5 | $0.00032 | $0.01347 |
| Sonnet 5 | $0.00013 | $0.00539 |
| Haiku 4.5 | $0.00006 | $0.00269 |
Grade A, and why
user-story-map 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Produce a self-contained, interactive user story map the user can operate: drag story cards between cells to re-slice which phase (and activity) each belongs to, reorder phases/activities/stories by dragging, edit inline, add/remove cards, phases, activities and tags, and export the result. It runs in a real browser — served live from this session by default, published as an Artifact when it needs to travel.
The three axes (get these right)
A story map has exactly three dimensions — clarify or infer all three before building:
- Activities (backbone) — the columns, left→right, the user's journey / the sequence of high-level things they do (e.g. Set up the role → Bring in candidates → Screen → …). Order carries meaning; the user can re-drag it.
- Phases (swimlanes) — the rows, top→bottom = release order (Phase 1 = first / MVP). Each has a name and a one-line goal. The user can re-drag the order.
- Stories — the cards. Each belongs to exactly one activity + one phase; order within a cell is its rank (top = first). Each has a
status—open(default) /progress/review/done— and the card's left border accent is coloured by status (cells are tinted by phase; a legend above the grid explains the colours — status never renders as a pill, pills are for tags). Omitstatusunless the context clearly says work has started. Keep the text short and recognizable to a user (what they can do), not implementation detail.
Tags are cross-cutting themes, not a card property to colour by. A story may carry any number of tags (e.g. "AI", "compliance"); they render as small pills on the card, and the user can add/remove them per card or delete a tag everywhere via the ⌗ menu. Cards are always coloured by phase — never invent per-card colours. Seed tags only for genuine cross-cutting concerns you can identify (AI/automation is the common one).
Derive these from whatever context exists — a spec, a plan, a tasks.md, a development plan, the conversation. If the subject or its journey is unclear, ask briefly: what's the product, what are the ~5–9 journey steps, and how many release phases.
What ships with it
1 file 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.
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.
- 4d ago First seen · 109 lines · 65 tokens per session scan A 6d4ef5e445b0
user-story-map is a skill published in the GitHub repository Cavalry-Collective/visual-stack (11 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 2,694 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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