Atlas / Skills / spool-lab / Clarify

ClarifyCAUTION

skills/spool-lab/clarify

Store, share, and resume AI coding sessions.

Verdict
CAUTION
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
NOASSERTION
Stars
591
01

Overview

Store, share, and resume AI coding sessions.

Read from source at commit 1901845e301fOBSERVED · 2026-10-14
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: clarify
description: Improve unclear UX copy, error messages, microcopy, labels, and instructions to make interfaces easier to understand. Use when the user mentions confusing text, unclear labels, bad error messages, hard-to-follow instructions, or wanting better UX writing.
user-invocable: true
argument-hint: '[target]'
---

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:

1. **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

2. **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."

**Bad**: "Invalid input"
**Good**: "Email addresses need an @ symbol. Try: [email protected]"

**Principles**:

- Explain what went wrong in plain language
- Suggest how to fix it
- Don't blame the user
- Include examples when helpful
- Link to help/support if applicable

### Form Labels & Instructions

**Bad**: "DOB (MM/DD/YYYY)"
**Good**: "Date of birth" (with placeholder showing format)

**Bad**: "Enter value here"
**Good**: "Your email address" or "Company name"

**Principles**:

- Use clear, specific labels (not generic placeholders)
- Show format expectations with examples
- Explain why you're asking (when not obvious)
- Put instructions before the field, not after
- Keep required field indicators clear

### Button & CTA Text

**Bad**: "Click here" | "Submit" | "OK"
**Good**: "Create account" | "Save changes" | "Got it, thanks"

**Principles**:

- Describe the action specifically
- Use active voice (verb + noun)
- Match user's mental model
- Be specific ("Save" is better than "OK")

### Help Text & Tooltips

**Bad**: "This is the username field"
**Good**: "Choose a username. You can change this later in Settings."

**Principles**:

- Add value (don't just repeat the label)
- Answer the implicit question ("What is this?" or "Why do you need this?")
- Keep it brief but complete
- Link to detailed docs if needed

### Empty States

**Bad**: "No items"
**Good**: "No projects yet. Create your first project to get started."

**Principles**:

- Explain why it's empty (if not obvious)
- Show next action clearly
- Make it welcoming, not dead-end

### Success Messages

**Bad**: "Success"
**Good**: "Settings saved! Your changes will take effect immediately."

**Principles**:

- Confirm what happened
- Explain what happens next (if relevant)
- Be brief but complete
- Match the user's emotional moment (celebrate big wins)

### Loading States

**Bad**: "Loading..." (for 30+ seconds)
**Good**: "Analyzing your data... this usually takes 30-60 seconds"

**Principles**:

- Set expectations (how long?)
- Explain what's happening (when it's not obvious)
- Show progress when possible
- Offer escape hatch if appropriate ("Cancel")

### Confirmation Dialogs

**Bad**: "Are you sure?"
**Good**: "Delete 'Project Alpha'? This can't be undone."

**Principles**:

- State the specific action
- Explain consequences (especially for destructive actions)
- Use clear button labels ("Delete project" not "Yes")
- Don't overuse confirmations (only for risky actions)

### Navigation & Wayfinding

**Bad**: Generic labels like "Items" | "Things" | "Stuff"
**Good**: Specific labels like "Your projects" | "Team members" | "Settings"

**Principles**:

- Be specific and descriptive
- Use language users understand (not internal jargon)
- Make hierarchy clear
- Consider information scent (breadcrumbs, current location)

## Apply Clarity Principles

Every piece of copy should follow these rules:

1. **Be specific**: "Enter email" not "Enter value"
2. **Be concise**: Cut unnecessary words (but don't sacrifice clarity)
3. **Be active**: "Save changes" not "Changes will be saved"
4. **Be human**: "Oops, something went wrong" not "System error encountered"
5. **Be helpful**: Tell users what to do, not just what happened
6. **Be consistent**: Use same terms throughout (don't vary for variety)

**NEVER**:

- Use jargon without explanation
- Blame users ("You made an error" → "This field is required")
- Be vague ("Something went wrong" without explanation)
- Use passive voice unnecessarily
- Write overly long explanations (be concise)
- Use humor for errors
03

Trust audit

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryWARN
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (2)

MEDIUMInventory / provenance · inv.symlink · CWE-1104
.claude/skills/adapt
.claude/skills/adapt
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
.claude/skills/clarify
.claude/skills/clarify
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha 1901845e301ffull audit observations/trust-audit/skill/spool-lab__clarify.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-141901845e301fCAUTIONB89first audit
05

Questions

What does the Clarify skill do?

Store, share, and resume AI coding sessions.

Is Clarify safe to install?

With care. The audit graded it B (89/100) and found 2 things worth knowing before you trust this skill, listed below with the exact line each was found on.

What can Clarify access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (1901845e301f), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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