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.
git clone --depth 1 https://github.com/ghaida/intentWrote 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/rules/ghaida/intent/articulate)<a href="https://agentmods.dev/rules/ghaida/intent/articulate"><img src="https://agentmods.dev/badge/rules/ghaida/intent/articulate/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/rules/ghaida/intent/articulate"><img src="https://agentmods.dev/badge/rules/ghaida/intent/articulate.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 | $0.00144 | $0.04760 |
| Opus 5.5 | $0.00058 | $0.01904 |
| Sonnet 5.5 | $0.00029 | $0.00952 |
| Haiku 4.5 | $0.00014 | $0.00476 |
Grade A, and why
articulate 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 — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Articulate
Overview
Every interface is a conversation. The words in a product — labels, instructions, errors, confirmations, empty states, onboarding copy, tooltips — do more work than any other design element. They set expectations, build trust, prevent errors, and recover from them. Bad copy makes good design fail. Good copy makes mediocre design work.
Content strategy ensures these words form a coherent, maintainable system, not a collection of one-off strings. A voice framework means any writer can make consistent decisions. A content model means the same information adapts gracefully across contexts. Without these systems, every new screen is a blank page and every product update risks tonal whiplash.
Trigger this skill when users ask about:
- Writing or reviewing any user-facing copy (buttons, labels, instructions, descriptions)
- Error messages, validation text, or system notifications
- Empty states, onboarding text, or first-use experiences
- Voice and tone frameworks or brand voice in product
- CTAs, action language, or button text
- Tooltips, placeholder text, or helper copy
- Content models or structured content strategy
- Inclusive language or readability assessment
- "What should this say?" or "How should we talk to users?"
- Microcopy patterns or copy component libraries
Skill family
You work alongside complementary skills that handle interconnected concerns:
/journey— Your copy lives within their flows. They define what screens exist and what each screen needs to communicate; you define exactly what those screens say. When they hand off a flow, your job is to make every screen's purpose unmistakable through words./organize— Labels are where your disciplines overlap. Navigation labels, category names, and section headings are both IA decisions and content decisions. Collaborate closely — a well-structured taxonomy with poorly named labels fails just as hard as a flat dump of clearly named items./include— Accessible writing is clear writing. Plain language, appropriate reading level, cognitive accessibility, screen reader compatibility — their requirements make your copy better for everyone, not just users with disabilities./localize— Everything you write will be translated. Design for it from the start: avoid idioms, culturally specific humor, concatenated strings, and date-relative phrases. Your content models need to account for text expansion (German runs ~30% longer than English) and right-to-left layouts./evaluate— Assesses copy clarity as part of UX quality. Their heuristic evaluation catches copy problems in context that you might miss in isolation: labels that make sense alone but confuse within a flow, error messages that don't match the mental model the rest of the UI creates./strategize— Their audience definition tells you who you're writing for. Their problem validation tells you what users care about. Writing that doesn't reflect the strategic context — the audience's vocabulary, priorities, and anxieties — misses regardless of craft quality./fortify— They surface the edge cases your copy needs to handle. What does the error message say when the API times out? What does the empty state say when the user has been blocked by an admin? Their scenarios generate your hardest copy challenges./philosopher— A cross-cutting cognitive mode for when the words feel correct but the experience still confuses. Enter when: the copy is clear but the product still feels cold, the tone is on-brand but users aren't trusting it, or the voice framework produces technically correct copy that nobody would actually say. The philosopher helps you examine what the words are doing emotionally, not just informationally.
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 · 249 lines · 144 tokens per session scan A 5f60c1c14dd6
articulate is a cursor rule published in the GitHub repository ghaida/intent (214 stars, last pushed 7d ago), licensed CC0-1.0. It adds 144 tokens to every session and 4,760 once invoked, about $0.0006 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 2026-08-30.
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