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 skills add cenconq25/claude-code-app-studio --skill team-contentgit 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/team-content)<a href="https://agentmods.dev/skills/cenconq25/claude-code-app-studio/team-content"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/team-content/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.
<a href="https://agentmods.dev/skills/cenconq25/claude-code-app-studio/team-content"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/team-content.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00044 | $0.01617 |
| Opus 5.5 | $0.00018 | $0.00647 |
| Sonnet 5.5 | $0.00009 | $0.00323 |
| Haiku 4.5 | $0.00004 | $0.00162 |
Grade A, and why
team-content 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 1mo 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Team Content
The cross-functional pipeline that turns a one-line content need into shipped, localized, on-tone copy. Useful any time a feature spans multiple screens of copy or any time a marketing-adjacent moment needs consistent voice.
Team Composition
- content-strategist — voice, tone, content architecture, channel planning.
- content-designer — UX writing on screen-by-screen basis.
- localization-lead — translation pipeline, locale-specific decisions, RTL audit, cultural review.
- ux-designer — ensures copy fits the layout and the user journey.
Spawn each via Task. Run independent subagents in parallel where their inputs are independent.
Phase 1: Resolve the Brief
Parse arguments:
--brief=<path>-> read the explicit brief.--feature=<name>-> globdesign/prd/**/*[name]*.prd.mdand related stories.- No argument -> walk the user through a brief intake via AskUserQuestion (purpose, audience, channels, deadline, length guidelines).
Read the brief, the relevant PRD, and the current voice/tone guidelines
from .claude/docs/content-guidelines.md (if present).
Phase 2: Voice and Tone Anchor via content-strategist
Spawn content-strategist via Task. Prompt template:
Brief: [content]. Project voice/tone guide: [path or summary]. Recent comparable copy in the app (from prior PRDs, prior releases): [list]. Define the voice anchor for this piece — tone, formality, humor allowance, sensitive-topic guardrails. Identify the channels this content must work across (in-app, push, email, store listing, social).
Render anchor. Use AskUserQuestion to confirm.
Phase 3: Information Architecture (parallel with Phase 4)
Spawn ux-designer via Task. Prompt template:
Brief: [content]. Voice anchor: [reference]. Map the content to screens and surfaces. For each surface, capture: container (modal, banner, inline), max length budget, dynamic vs static, related imagery, accessibility constraints.
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.
- 1mo ago First seen · 247 lines · 44 tokens per session scan A 71f6a49599bc
team-content is a skill published in the GitHub repository cenconq25/claude-code-app-studio (42 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 1,617 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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