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/evgenii-studitskikh/claude-code-saas-studio/map-flowsnpx skills add evgenii-studitskikh/Claude-Code-SaaS-Studio --skill map-flowsgit clone --depth 1 https://github.com/evgenii-studitskikh/Claude-Code-SaaS-StudioWrote 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/evgenii-studitskikh/claude-code-saas-studio/map-flows)<a href="https://agentmods.dev/skills/evgenii-studitskikh/claude-code-saas-studio/map-flows"><img src="https://agentmods.dev/badge/skills/evgenii-studitskikh/claude-code-saas-studio/map-flows.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 | $0.00041 | $0.00465 |
| Opus 5 | $0.00020 | $0.00233 |
| Sonnet 5 | $0.00008 | $0.00093 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
map-flows 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.
What it actually says
Translate the PRD's user stories into concrete user journeys and a numbered screen inventory that will anchor every subsequent design and engineering decision. Non-autonomous: flows are proposed, discussed, and approved before anything is written.
Phases
- Load PRD — read
docs/specs/prd.md. If missing, stop and direct the user to/write-prd. Extract each user story and group them into candidate journeys (e.g., Onboarding, Core Loop, Billing & Upgrade, Settings). - Propose journey map — present each journey as a numbered step sequence (e.g., 1. Land on marketing page → 2. Click "Sign up" → 3. Supabase auth → …). Mark which steps cross authentication or payment boundaries. Ask the user to confirm, adjust, or remove flows.
- Derive screen list — from the approved journeys, enumerate every distinct screen or modal needed. For each screen note: name, owning journey, auth-required (yes/no), and any critical empty/error states that must exist.
- Resolve ambiguities — identify any flows where the user story is underspecified (e.g., "What happens if the user cancels mid-checkout?"). Propose sensible defaults; get the user's confirmation before locking the decision.
- Write draft — fill
docs/specs/flows.mdwith the journey map and screen list. Present the draft inline underfullreview; underlean/solowrite immediately after a single confirmation prompt. - Next step — on approval, point to
/design-uito assign components to each screen.
Output
docs/specs/flows.md — journey map + screen inventory. Writes nothing else without approval.
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 · 23 lines · 41 tokens per session scan A a6bbbafe6750
map-flows is a skill published in the GitHub repository evgenii-studitskikh/Claude-Code-SaaS-Studio (1 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 465 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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