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 coroboros/agent-skills --skill brand-voicegit clone --depth 1 https://github.com/coroboros/agent-skillsWrote 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/coroboros/agent-skills/brand-voice)<a href="https://agentmods.dev/skills/coroboros/agent-skills/brand-voice"><img src="https://agentmods.dev/badge/skills/coroboros/agent-skills/brand-voice/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/coroboros/agent-skills/brand-voice"><img src="https://agentmods.dev/badge/skills/coroboros/agent-skills/brand-voice.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 | $0.00068 | $0.04761 |
| Opus 5 | $0.00034 | $0.02380 |
| Sonnet 5 | $0.00014 | $0.00952 |
| Haiku 4.5 | $0.00007 | $0.00476 |
Grade A, and why
brand-voice 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 4d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Voice
Important — Writing rules
Apply these rules to emitted prose: docs, comments, commit messages, PR bodies, and release notes.
- Match surrounding punctuation, capitalization, and formatting.
- Every sentence changes the reader's understanding. Cut it otherwise.
- Lead with the action or outcome.
- Use concrete language and lists when they improve comparison or sequence.
- Assert positively. Reserve negation for real constraints (
NEVER commit secrets). - No marketing words: powerful, robust, seamlessly, leverage, unlock, comprehensive, delightful.
- No AI tells: delve, tapestry, intricate, pivotal, testament, underscore, crucial, garner, showcase, additionally, moreover, furthermore, indeed.
- For substantive English prose, use
/humanize-enif installed with the existing scope and authorization. It adds no approval stage; skip redundant passes over short status text.
Govern BRAND-VOICE.md — the canonical writing voice document for a brand. Two layers: YAML frontmatter (machine-readable normative rules consumed by writing skills) plus eleven prose sections (human-readable rationale). Same split as DESIGN.md and the same design-system skill pattern: a canonical file at the project root, CLI-style subcommands for the lifecycle.
Additional context from the user: $ARGUMENTS
Subcommand routing
Parse the first positional token of $ARGUMENTS. If it matches a verb below, load the referenced file and follow its workflow. Otherwise fall through to the default workflow at the end of this document.
| First token | Mode | Reference |
|---|---|---|
extract |
Ingest sources, synthesise canonical voice doc, write to ./BRAND-VOICE.md |
steps/extract.md |
update |
Refresh an existing voice doc from new sources, preserve manual sections | steps/update.md |
diff |
Show what changed between two versions of the voice doc (git-aware) | steps/diff.md |
validate (aliases: lint, check) |
Lint a voice doc against canonical-format.md — verdict + errors + warnings + fix suggestions, CI-friendly exit codes |
steps/validate.md |
show |
Print the flat list of testable rules from the voice doc | steps/show.md |
| (none) | See Default workflow below | (this file) |
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- evals/evals.json 2.9 KB
- references/canonical-format.md 20 KB
- references/example-chanel.md 19 KB
- references/example-multi-voice.md 7.9 KB
- references/interview-questions.md 4.4 KB
- references/schemas.md 11 KB
- references/source-resolution.md 5.4 KB
- scripts/extract_rules.py 16 KB runs code
- scripts/lint_all.py 3.9 KB runs code
- scripts/measure_corpus.py 8.3 KB runs code
- scripts/utils.py 29 KB runs code
- scripts/voice_lint.py 25 KB runs code
- steps/diff.md 6.3 KB
- steps/extract.md 9.7 KB
- steps/show.md 5.7 KB
- steps/update.md 6.5 KB
- steps/validate.md 9.0 KB
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.
- 4d ago Changed · -3 lines · -102 tokens per session eba33162bc99
- 12d ago First seen · 218 lines · 170 tokens per session scan A 9cb07c7da600
brand-voice is a skill published in the GitHub repository coroboros/agent-skills (4 stars, last pushed 3d ago), licensed MIT. It adds 68 tokens to every session and 4,761 once invoked, about $0.0003 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 2026-08-31.
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