Borrowing it
Nothing to install: this file belongs to robinfaraj/one-context. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/robinfaraj/one-context/main/.claude/skills/brand-copy-guidelines/SKILL.mdgit clone --depth 1 https://github.com/robinfaraj/one-contextWrote 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/robinfaraj/one-context/brand-copy-guidelines)<a href="https://agentmods.dev/skills/robinfaraj/one-context/brand-copy-guidelines"><img src="https://agentmods.dev/badge/skills/robinfaraj/one-context/brand-copy-guidelines/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/robinfaraj/one-context/brand-copy-guidelines"><img src="https://agentmods.dev/badge/skills/robinfaraj/one-context/brand-copy-guidelines.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 | $0.00055 | $0.01392 |
| Opus 5.5 | $0.00022 | $0.00557 |
| Sonnet 5.5 | $0.00011 | $0.00278 |
| Haiku 4.5 | $0.00006 | $0.00139 |
Grade A, and why
brand-copy-guidelines 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 2mo 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OneContext Brand Tone & Copy
Source: prompts/brand-and-copy-guide.md
Apply this skill when writing any user-facing copy: landing pages, CTAs, docs, in-app strings, or social posts.
Brand positioning
OneContext is the Stripe for AI Identity—developer-first, open source, essential infrastructure. We solve the pain of setting up your personal context in every AI tool. Users: developers, founders, creators running multiple AI interfaces (ChatGPT, Claude, OpenClaw, Cursor). We are the identity layer all AI tools plug into—not another chatbot.
Voice & personality
- Voice: Direct, technical (but never obscure), confident but humble, solution-obsessed, anti-BS. Never oversell or hype.
- Personality: The sharp, pragmatic developer friend who built what they needed and open sourced it. Slightly opinionated, fundamentally helpful, respects user intelligence.
- Tone by context: Technical docs = precise, matter-of-fact. Landing = punchy, benefit-driven. Social = conversational, meme-aware, genuine.
- Always: Clear over clever. Specific over fluffy.
Messaging framework
- Primary message: Set up your AI identity once. Use it everywhere.
- Problem: Repeating bio/context in every tool; context drifts out of sync.
- Solution: OneContext auto-syncs your digital footprint (X, GitHub, Notion, etc.) into one profile; use with any AI tool via MCP or API.
- Benefits: Stop repeating yourself. Always current (auto daily updates). Works everywhere (MCP + API). You're in control (open source, self-host).
- Proof: Open source, OpenClaw-ready, built by developers from lived pain.
Copy principles
- Lead with the pain: name the real frustration up front.
- Be explicit: e.g. “Stop copy-pasting your bio into ChatGPT, Claude, and OpenClaw”—not “Improve your AI workflow.”
- Show, don’t tell: code snippets, specific screenshots, real integration names.
- Respect technical audience: never dumb it down; complexity is okay if not hidden.
- Short, scannable sentences; every word earns its place.
- Avoid AI slop: Never use: unlock, supercharge, revolutionize, seamless, game-changer, next-generation, empower, leverage, synergy.
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.
- 2mo ago First seen · 116 lines · 55 tokens per session scan A 524a616e685c
brand-copy-guidelines is a skill published in the GitHub repository robinfaraj/one-context (43 stars, last pushed 8mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 1,392 once invoked, about $0.0002 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.
brand-copy-guidelines compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| brand-copy-guidelinesrobinfaraj/one-context | Skill | 43 | 8mo ago | Apache-2.0 | A | 55 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |