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/arnabdeypolimi/claude_code_setup/clarifynpx skills add arnabdeypolimi/claude_code_setup --skill clarifygit clone --depth 1 https://github.com/arnabdeypolimi/claude_code_setupWhat 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 | $0.00051 | $0.01553 |
| Opus 5 | $0.00026 | $0.00776 |
| Sonnet 5 | $0.00010 | $0.00311 |
| Haiku 4.5 | $0.00005 | $0.00155 |
Grade A, and why
clarify 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 2d 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.
This is a copy
83% identical to clarify — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identify and improve unclear, confusing, or poorly written interface text to make the product easier to understand and use.
MANDATORY PREPARATION
Invoke /frontend-design — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /teach-impeccable first. Additionally gather: audience technical level and users' mental state in context.
Assess Current Copy
Identify what makes the text unclear or ineffective:
-
Find clarity problems:
- Jargon: Technical terms users won't understand
- Ambiguity: Multiple interpretations possible
- Passive voice: "Your file has been uploaded" vs "We uploaded your file"
- Length: Too wordy or too terse
- Assumptions: Assuming user knowledge they don't have
- Missing context: Users don't know what to do or why
- Tone mismatch: Too formal, too casual, or inappropriate for situation
-
Understand the context:
- Who's the audience? (Technical? General? First-time users?)
- What's the user's mental state? (Stressed during error? Confident during success?)
- What's the action? (What do we want users to do?)
- What's the constraint? (Character limits? Space limitations?)
CRITICAL: Clear copy helps users succeed. Unclear copy creates frustration, errors, and support tickets.
Plan Copy Improvements
Create a strategy for clearer communication:
- Primary message: What's the ONE thing users need to know?
- Action needed: What should users do next (if anything)?
- Tone: How should this feel? (Helpful? Apologetic? Encouraging?)
- Constraints: Length limits, brand voice, localization considerations
IMPORTANT: Good UX writing is invisible. Users should understand immediately without noticing the words.
Improve Copy Systematically
Refine text across these common areas:
Error Messages
Bad: "Error 403: Forbidden" Good: "You don't have permission to view this page. Contact your admin for access."
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.
- 2d ago First seen · 182 lines · 51 tokens per session scan A cf9de9c30952
clarify is a skill published in the GitHub repository arnabdeypolimi/claude_code_setup (4 stars, last pushed 3mo ago), licensed MIT. It adds 51 tokens to every session and 1,553 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to clarify, differing in 15 lines, and is treated as a copy.
Other skills, from other repositories
check-understanding
Phase quiz for AI Engineering from Scratch. Trigger with "quiz me", "test phase", "check my understanding", "do I know phase 3", or /check-understanding .
find-your-level
Interactive quiz that maps your AI/ML knowledge to a starting point in the 523-lesson, 20-phase AI Engineering from Scratch curriculum. Trigger phrases: "where should I start", "find my level", "what do I know", "which phase", "assess my knowledge", "placement test", "skip ahead".
skill-release-gate
Evaluate an Agent Skill bundle for structural integrity, trigger quality, artifact improvement, script correctness, safety, installed-tree integrity, and target-host portability before release.
migration-review
Review database migration files when a change adds or modifies paths under migrations/. Use it before merge to collect forward, rollback, locking, and data-safety evidence.
skill-catalog-builder
Build a bounded Agent Skill catalog across explicit discovery scopes and report collisions before loading instruction bodies.
peon-ping-rename
Rename the current Claude session for peon-ping notifications and terminal tab title. Use when user wants to give this session a custom name like "/peon-ping-rename Auth Refactor". Call with no argument to reset to auto-detect.