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/cenconq25/claude-code-app-studio/adoptnpx skills add cenconq25/claude-code-app-studio --skill adoptgit clone --depth 1 https://github.com/cenconq25/claude-code-app-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/cenconq25/claude-code-app-studio/adopt)<a href="https://agentmods.dev/skills/cenconq25/claude-code-app-studio/adopt"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/adopt.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 | $0.00067 | $0.02188 |
| Opus 5 | $0.00034 | $0.01094 |
| Sonnet 5 | $0.00013 | $0.00438 |
| Haiku 4.5 | $0.00007 | $0.00219 |
Grade A, and why
adopt 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.
How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adopt — Brownfield Onboarding
Where /project-stage-detect answers "what exists?", this skill answers "will what exists actually work with /design-review, /architecture-review, /story-readiness, etc.?" Files can be present and still fail compliance because they lack the structured sections those reviewers expect.
This skill writes one file: production/migration-plan.md. The user runs the migration steps separately.
Purpose / When to Run
Run when:
- Pulling into an existing mobile-app project for the first time
- Migrating from an earlier version of this template
- The user has many artifacts but several review skills throw "missing section" errors
- Preparing to hand the project to a new contributor and wanting to know what is broken
Distinct from /project-stage-detect (existence check) and /onboard (per-role context summary).
Inputs
- All design, architecture, production, and ux artifacts on disk
.claude/docs/technical-preferences.md(framework pin)
Outputs
production/migration-plan.md— numbered, prioritized list of fixes- A printed summary
Phase 1: Inventory
Glob and read (sample, not full):
design/concept.mddesign/design-bible.mddesign/prd/*.mddesign/ux/*.mddesign/systems-index.mddocs/architecture/architecture.mddocs/architecture/ADR-*.mddocs/architecture/control-manifest.mddocs/architecture/tr-registry.yamlproduction/epics/*/EPIC.mdproduction/epics/*/story-*.md
Count each. Print the inventory before doing the audit.
Phase 2: Compliance Audit
For each artifact type, check against the template's required structure. Compliance is per-section — partial credit is allowed. Classify gaps as:
- CRITICAL — review skills will crash or refuse to run
- HIGH — review skills will run but produce useless output (missing traceability)
- MEDIUM — degraded but usable
- LOW — cosmetic
2a: Concept doc (design/concept.md)
Required sections (grep): One-liner, Target User, Core Promise, MVP Scope, Primary Metric, Tone, Monetization Stance, Riskiest Assumption.
- Missing One-liner / Target User / Primary Metric: HIGH
- Missing other sections: MEDIUM
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.
- 5d ago First seen · 230 lines · 67 tokens per session scan A 8b2ad3809475
adopt is a skill published in the GitHub repository cenconq25/claude-code-app-studio (40 stars, last pushed 4mo ago), licensed MIT. It adds 67 tokens to every session and 2,188 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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