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/guillermoscript/lms-front/clarifynpx skills add guillermoscript/lms-front --skill clarifygit clone --depth 1 https://github.com/guillermoscript/lms-frontWhat 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 | $0.00027 | $0.01479 |
| Opus 5 | $0.00014 | $0.00740 |
| Sonnet 5 | $0.00005 | $0.00296 |
| Haiku 4.5 | $0.00003 | $0.00148 |
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
100% identical to clarify — 0 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 — 179 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.
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."
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
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 · 179 lines · 27 tokens per session scan A 128925d3b4b0
clarify is a skill published in the GitHub repository guillermoscript/lms-front (24 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 1,479 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to clarify, differing in 0 lines, and is treated as a copy.
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