Brand Voice EnforcementSAFE
Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
Overview
Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
a6013e68a40dOBSERVED · 2026-10-27What 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: brand-voice-enforcement description: > This skill applies brand guidelines to content creation. It should be used when the user asks to "write an email", "draft a proposal", "create a pitch deck", "write a LinkedIn post", "draft a presentation", "write a Slack message", "draft sales content", or any content creation request where brand voice should be applied. Also triggers on "on-brand", "brand voice", "enforce voice", "apply brand guidelines", "brand-aligned content", "write in our voice", "use our brand tone", "make this sound like us", "rewrite this in our tone", or "this doesn't sound on-brand". Not for generating guidelines from scratch (use guideline-generation) or discovering brand materials (use discover-brand). --- # Brand Voice Enforcement Apply existing brand guidelines to all sales and marketing content generation. Load the user's brand guidelines, apply voice constants and tone flexes to the content request, validate output, and explain brand choices. ## Loading Brand Guidelines Find the user's brand guidelines using this sequence. Stop as soon as you find them: 1. **Session context** — Check if brand guidelines were generated earlier in this session (via `/brand-voice:generate-guidelines`). If so, they are already in the conversation. Use them directly. Session-generated guidelines are the freshest and reflect the user's most recent intent. 2. **Local guidelines file** — Check for `.claude/brand-voice-guidelines.md` inside the user's working folder. Do NOT use a relative path from the agent's current working directory — in Cowork, the agent runs from a plugin cache directory, not the user's project. Resolve the path relative to the user's working folder. If no working folder is set, skip this step. 3. **Ask the user** — If none of the above found guidelines, tell the user: "I couldn't find your brand guidelines. You can: - Run `/brand-voice:discover-brand` to find brand materials across your platforms - Run `/brand-voice:generate-guidelines` to create guidelines from documents or transcripts - Paste guidelines directly into this chat or point me to a file" Wait for the user to provide guidelines before proceeding. Also read `.claude/brand-voice.local.md` for enforcement settings (even if guidelines came from another source): - `strictness`: strict | balanced | flexible - `always-explain`: whether to always explain brand choices ## Enforcement Workflow ### 1. Analyze the Content Request Before writing, identify: - **Content type**: email, presentation, proposal, social post, message, etc. - **Target audience**: role, seniority, industry, company stage - **Key messages needed**: which message pillars apply - **Specific requirements**: length, format, tone overrides ### 2. Apply Voice Constants Voice is the brand's personality — it stays constant across all content: - Apply "We Are / We Are Not" attributes from guidelines - Use brand personality consistently - Incorporate approved terminology; reject prohibited terms - Follow messaging framework and value propositions Refer to `references/voice-constant-tone-flexes.md` for the "voice constant, tone flexes" model. ### 3. Flex Tone for Context Tone adapts by content type and audience. Use the tone-by-context matrix from guidelines to set: - **Formality**: How formal or casual should this be? - **Energy**: How much urgency or enthusiasm? - **Technical depth**: How detailed or accessible? ### 4. Generate Content Create content that: - Matches brand voice attributes throughout - Follows tone guidelines for this specific content type - Incorporates key messages naturally (not forced) - Uses preferred terminology - Mirrors the quality and style of guideline examples For complex or long-form content, delegate to the content-generation agent (defined in `agents/content-generation.md`). For high-stakes content, delegate to the quality-assurance agent (defined in `agents/quality-assurance.md`) for validation. ### 5. Validate and Explain After generating content: - Briefly highlight which brand guidelines were applied - Explain key voice and tone decisions - Note any areas where guidelines were adapted for context - Offer to refine based on feedback When `always-explain` is true in settings, include brand application notes with every response. ## Handling Conflicts When the user's request conflicts with brand guidelines: 1. Explain the conflict clearly 2. Provide a recommendation 3. Offer options: follow guidelines strictly, adapt for context, or override Default to adapting guidelines with an explanation of the tradeoff. ## Open Questions Awareness Open questions are unresolved brand positioning decisions flagged during guideline generation, stored in the guidelines under an "Open Questions" section. When generating content, check if the brand guidelines contain open questions: - If content touches an unresolved open question, note it - Apply the agent's recommendation from the open question unless the user specifies otherwise - Suggest resolving the question if it significantly impacts the content ## Reference Files - **`references/voice-constant-tone-flexes.md`** — The "voice constant, tone flexes" mental model, "We Are / We Are Not" table structure, and tone-by-context matrix explanation - **`references/before-after-examples.md`** — Before/after content examples per content type showing enforcement in practice
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
a6013e68a40dfull audit observations/trust-audit/skill/anthropics__brand-voice-enforcement.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-27 | a6013e68a40d | SAFE | B | 89 | first audit |
Questions
What does the brand-voice-enforcement — anthropics/knowledge-work-plugins skill do?
Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
Is brand-voice-enforcement — anthropics/knowledge-work-plugins safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can brand-voice-enforcement — anthropics/knowledge-work-plugins 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 (a6013e68a40d), read on 2026-10-27. The repository is watched, and a new audit runs when it changes — this is the first audit.
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Shows this page's audit result and links back to it. It updates when the audit does.
[](https://modelsatlas.com/skills/anthropics/brand-voice-enforcement/)
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