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 helpgit 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/help)<a href="https://agentmods.dev/skills/cenconq25/claude-code-app-studio/help"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/help/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/help"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/help.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 | $0.00048 | $0.01462 |
| Opus 5 | $0.00024 | $0.00731 |
| Sonnet 5 | $0.00010 | $0.00292 |
| Haiku 4.5 | $0.00005 | $0.00146 |
Grade A, and why
help 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Help — Next Step Recommendation
Read-only. Quick, decisive. The goal is to leave the user with one specific command to run next, not a menu of options.
This skill never writes a file.
Purpose / When to Run
Run when:
- The user types
/help, "what next", "I'm stuck", "I don't know what to do" - The session resumed after a break and the user wants direction
- A skill just finished and the user wants the natural next step
Distinct from /start (full guided onboarding) and /project-stage-detect (full audit). This skill is fast — under 30 seconds of work — and outputs at most a paragraph.
Inputs
- Optional free-text question (the user's exact words)
- The repo on disk
Outputs
- A printed recommendation. No file writes.
Phase 1: Read the Minimum
Read only what is needed to answer:
production/session-state/active.md(if present) — the explicit ground truth of where the user is.claude/docs/technical-preferences.mdFramework field — to detect setup state- Glob
design/concept.md,design/systems-index.md,design/prd/*.md,docs/architecture/architecture.md,production/sprints/*.md— count only, do not read content unless needed
If active.md exists and lists a clearly-defined "Next" line, that line wins over any other inference. Trust the file.
Phase 2: Match the User's Question
Categorize the user's free-text input into one of:
- Stuck on a specific skill — e.g., "I'm stuck on the architecture review", "design-system is asking weird questions"
- Lost about phase — "where am I", "what stage are we in"
- Specific feature question — "how do I add a screen", "where does the auth flow go"
- No question, just
/help— generic "what next"
If the input is empty, treat as case 4.
Phase 3: Recommend
Case 1 — Stuck on a specific skill
Read whatever artifact the skill writes (e.g., for /architecture-review, read its expected output path). If the issue is missing input, point to the upstream skill that produces it. If the issue is unclear, recommend reading .claude/skills/<that-skill>/SKILL.md to understand its inputs.
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 · 154 lines · 48 tokens per session scan A 34d832215b56
help is a skill published in the GitHub repository cenconq25/claude-code-app-studio (40 stars, last pushed 4mo ago), licensed MIT. It adds 48 tokens to every session and 1,462 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 2026-09-03.
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