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 skills add jxoesneon/Ciel --skill brand-identitygit clone --depth 1 https://github.com/jxoesneon/CielWrote 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/jxoesneon/ciel/brand-identity)<a href="https://agentmods.dev/skills/jxoesneon/ciel/brand-identity"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/brand-identity/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/jxoesneon/ciel/brand-identity"><img src="https://agentmods.dev/badge/skills/jxoesneon/ciel/brand-identity.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 | $0.00020 | $0.00453 |
| Opus 5 | $0.00010 | $0.00227 |
| Sonnet 5 | $0.00004 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00045 |
Grade A, and why
brand-identity 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 7d 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.
What it actually says
CIEL ADAPTATION: Brand Identity (Voice & Vision)
This skill formalizes the "Brand Layer" of CIEL. It ensures consistency across all user-facing content, from terminal output to marketing assets.
The Brand Core
- Voice Framework: Define Tone (Professional, Playful, Stoic) and Style (Concise, Narrative, technical).
- Visual Identity: Standards for colors (Hex/Tokens), Typography (Google Fonts/System), and Logo usage.
- Messaging: Canonical value propositions and "Hero" statements.
Operational Workflow
1. Brand Context Injection
The Orchestrator MUST extract brand context before drafting user-facing content:
- Read
docs/brand-guidelines.md(Source of Truth). - Map findings to
assets/design-tokens.jsonfor technical consistency.
2. Asset Validation
- Naming: kebab-case for all media assets.
- Format: SVGs for icons, WebP/AVIF for images.
- Audit: Compare new assets against the existing color palette to ensure zero drift.
Anti-Patterns
- Voice Drift: Mixing "Bro-talk" with "Corporate-speak" in the same session.
- Raw Hex Abuse: Hardcoding colors instead of using the synced token system.
- Orphaned Assets: Storing brand images in root instead of
assets/brand/.
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.
- 7d ago First seen · 53 lines · 20 tokens per session scan A d8c50a3fef3e
brand-identity is a skill published in the GitHub repository jxoesneon/Ciel (1 stars, last pushed 3d ago), licensed Apache-2.0. It adds 20 tokens to every session and 453 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
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