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/ckokoski/authoragent/revisenpx skills add Ckokoski/AuthorAgent --skill revisegit clone --depth 1 https://github.com/Ckokoski/AuthorAgentWrote 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/ckokoski/authoragent/revise)<a href="https://agentmods.dev/skills/ckokoski/authoragent/revise"><img src="https://agentmods.dev/badge/skills/ckokoski/authoragent/revise.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 5.1 | $0.00015 | $0.00464 |
| Opus 5 | $0.00008 | $0.00232 |
| Sonnet 5 | $0.00003 | $0.00093 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
revise 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 6d 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
Revision Skill
Provide multi-layer editing support. Each pass serves a different purpose.
Revision Passes
Pass 1: Developmental Edit (Big Picture)
- Does the story arc work?
- Are character motivations clear and consistent?
- Is the pacing right? (Too slow? Too rushed?)
- Do the stakes escalate properly?
- Are subplots resolved?
- Is the theme woven through the narrative?
- Are there plot holes or contradictions?
Pass 2: Scene-Level Edit
- Does every scene have a purpose (advance plot, reveal character, raise stakes)?
- Are scene openings strong?
- Do scene endings create momentum?
- Is the POV consistent within each scene?
- Is there enough conflict in each scene?
Pass 3: Line Edit (Craft)
- Sentence variety and rhythm
- Word choice precision
- Showing vs telling
- Dialogue naturalism
- Sensory details
- Filter word removal
- Passive voice reduction
- Adverb pruning
Pass 4: Copy Edit (Correctness)
- Grammar and punctuation
- Spelling
- Consistency (names, places, timeline)
- Formatting
- Style guide compliance
Feedback Format
For each issue found:
📍 Location: [Chapter/Page/Paragraph]
🔍 Issue: [What's wrong]
💡 Why: [Why it matters for the reader]
✏️ Suggestion: [How to fix it — never rewrite without permission]
Rules
- Always ask which pass the author wants
- Never rewrite without explicit permission
- Celebrate what's working, not just what needs fixing
- Be specific — "this doesn't work" is useless; "the tension drops here because we already know the answer" is actionable
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.
- 6d ago First seen · 76 lines · 15 tokens per session scan A 93146e5b098d
revise is a skill published in the GitHub repository Ckokoski/AuthorAgent (103 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 464 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 2026-08-30.
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