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 agentmods add skills/krishagel/geoffrey/writernpx skills add krishagel/geoffrey --skill writergit clone --depth 1 https://github.com/krishagel/geoffreyWrote 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/krishagel/geoffrey/writer)<a href="https://agentmods.dev/skills/krishagel/geoffrey/writer"><img src="https://agentmods.dev/badge/skills/krishagel/geoffrey/writer.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.06169 |
| Opus 5 | $0.00009 | $0.03085 |
| Sonnet 5 | $0.00004 | $0.01234 |
| Haiku 4.5 | $0.00002 | $0.00617 |
Grade A, and why
writer 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- writer — 97% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 900 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writer Skill
Generate content in your authentic voice by analyzing writing samples and applying learned voice patterns through adaptive interviewing and voice-matched generation.
Philosophy
Key Innovation: This isn't a generic AI writer - it's YOUR voice, learned from YOUR writing.
Unlike generic AI content generation, this skill:
- Learns from 6 distinct voice profiles (work email, personal email, blog, LinkedIn, Twitter, reports)
- Interviews you like a Pulitzer-winning journalist to deeply understand your message
- Validates output against your authentic patterns (not generic "good writing")
- Saves versioned drafts to Obsidian for iteration and history
Simplicity: Geoffrey's native LLM capabilities analyze your voice. Scripts just fetch samples. No complex NLP libraries - clean, maintainable architecture.
When to Activate
Use this skill when you need to:
- Write emails that sound like you (not generic AI)
- Draft blog posts in your established voice
- Create social media content consistent with your style
- Generate reports matching your professional tone
- Ensure content authentically represents your perspective and voice
DON'T use for:
- Quick factual responses (use native Claude)
- Content in someone else's voice
- Generic templates
Voice Profiles
Six distinct profiles capture different contexts:
| Profile | Source | Sample Target | Status |
|---|---|---|---|
email_work |
PSD Gmail (sent emails, 6mo) | 50+ emails | Check writing-voice.json |
email_personal |
Personal/HRG Gmail (sent, 6mo) | 50+ emails | Check writing-voice.json |
blog_technical |
psd401.ai + blog.krishagel.com | 10+ posts | Check writing-voice.json |
social_linkedin |
LinkedIn profile posts | 30+ posts | Check writing-voice.json |
social_twitter |
X/Twitter posts | 30+ posts | Check writing-voice.json |
report_formal |
User-provided samples | 5-10 reports | Check writing-voice.json |
Confidence Levels:
- High (0.85+): 50+ samples - voice well established
- Moderate (0.70-0.84): 20-49 samples - patterns emerging
- Low (<0.70): <20 samples - insufficient data, warn user
What ships with it
7 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.
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.
- 5d ago First seen · 900 lines · 18 tokens per session scan A d7616f8fede8
writer is a skill published in the GitHub repository krishagel/geoffrey (5 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 6,169 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 2026-08-31.
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