Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/notque/vexjoy-agentnpx agentmods add skills/notque/vexjoy-agent/writingWrote 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/notque/vexjoy-agent/writing)<a href="https://agentmods.dev/skills/notque/vexjoy-agent/writing"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/writing/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/notque/vexjoy-agent/writing"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/writing.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 | $0.00022 | $0.03150 |
| Opus 5.5 | $0.00009 | $0.01260 |
| Sonnet 5.5 | $0.00004 | $0.00630 |
| Haiku 4.5 | $0.00002 | $0.00315 |
Grade B, and why
writing scanned grade B with 1 finding 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 20d 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.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
1. **LOAD**: Identify voice profile. Run `ls ~/.claude/skills/ | grep voice-` for available profiles. Read `profile.json`, all `references/`, and the target site's `CLAUDE.md`. Output: `.voice-phase/01-load.json`. How it starts
The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Skill
Five modes. Match the request to the correct mode and follow its section.
| Request matches | Mode |
|---|---|
| Article, blog post, content using a voice profile | Voice Writing |
| Build a voice profile from writing samples | Voice Creation |
| Check draft against voice profile fidelity | Voice Validation |
| Email, memo, status update, meeting notes, pushback | Professional Communication |
| Translate or localize a document | Translation |
Deep References
| Signal | Load | Content |
|---|---|---|
| Narrative validation, 500+ word content | references/narrative-patterns.md |
13-check rubric (StoryScope-derived) |
| Professional-communication examples | references/pc-examples.md |
Worked transformation examples |
| Professional-communication templates | references/pc-templates.md |
Status templates, phrase transformations |
| Voice creation: pattern extraction | references/cv-pattern-identification.md |
Phrase fingerprints, architectures |
| Voice creation: triple-validation | references/cv-extraction-validation.md |
Recurrence/power/exclusivity rubric |
| Voice creation: skill file generation | references/cv-skill-generation.md |
SKILL.md structure, frontmatter, samples |
| Voice creation: rules template | references/cv-voice-rules-template.md |
Positive/contrastive identity, prohibitions |
| Voice creation: iteration and authorship | references/cv-iteration-guide.md |
Validation commands, authorship matching |
| Voice creation: phase banners | references/cv-phase-banners.md |
Progress reporting templates |
| Translation modes, chunking | references/tr-modes.md |
Quick/normal/refined, parallel dispatch |
| Translation glossary | references/tr-glossary-template.md |
Glossary format, term-preservation rules |
Mode 1: Voice Writing
13-phase pipeline for voice-profiled articles and blog posts. Each phase runs as a separate agent dispatch. Phase artifacts are files in .voice-phase/, not context between agents.
Set VOICE_WRITER_ACTIVE=1 before dispatching any phase agent.
What ships with it
11 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.
- references/cv-extraction-validation.md 6.1 KB
- references/cv-iteration-guide.md 4.7 KB
- references/cv-pattern-identification.md 5.5 KB
- references/cv-phase-banners.md 2.3 KB
- references/cv-skill-generation.md 5.1 KB
- references/cv-voice-rules-template.md 5.9 KB
- references/narrative-patterns.md 11 KB
- references/pc-examples.md 9.7 KB
- references/pc-templates.md 8.5 KB
- references/tr-glossary-template.md 5.5 KB
- references/tr-modes.md 4.8 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.
- 20d ago Changed · -1 lines bb4213b1a3f3
- 24d ago Changed · +216 lines · -8 tokens per session scan A → B 5573ccf62c6b
- 26d ago Changed · -219 lines · +8 tokens per session scan B → A 5cd4a8204dbf
- 27d ago First seen · 260 lines · 22 tokens per session scan B 5ae5fbe95061
writing is a skill published in the GitHub repository notque/vexjoy-agent (442 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 3,150 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-20.
Other skills, from other repositories
asc-localize-metadata
Automatically translate and sync App Store metadata (description, keywords, what's new, subtitle) to multiple languages using LLM translation and asc CLI. Use when asked to localize an app's App Store listing, translate app descriptions, or add new languages to App Store Connect.
asc-metadata-sync
Sync, validate, and apply App Store metadata and store assets with asc. Use when updating localizations, keywords, App Clip or preview assets, Asset Library media and placements, or migrating legacy fastlane metadata.
asc-subscription-localization
Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.
asc-whats-new-writer
Generate engaging, localized App Store release notes (What's New) from git log, bullet points, or free text using canonical metadata under ./metadata. Optionally pairs with promotional text updates.
asc-in-app-events
Create and localize App Store in-app events, upload event media, and submit or recover event review submissions with asc. Use when managing in-app events, event card or details page assets, or event-specific submission errors.
localization
Use when implementing localization (i18n/l10n) — TranslationServer, CSV/PO translation files, locale switching, RTL support, and pluralization in Godot 4.3+.