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 DukeTwoCan/autonovel-agent-skills --skill autonovel-revisiongit clone --depth 1 https://github.com/DukeTwoCan/autonovel-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/duketwocan/autonovel-agent-skills/autonovel-revision)<a href="https://agentmods.dev/skills/duketwocan/autonovel-agent-skills/autonovel-revision"><img src="https://agentmods.dev/badge/skills/duketwocan/autonovel-agent-skills/autonovel-revision/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/duketwocan/autonovel-agent-skills/autonovel-revision"><img src="https://agentmods.dev/badge/skills/duketwocan/autonovel-agent-skills/autonovel-revision.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 | $0.00102 | $0.03088 |
| Opus 5.5 | $0.00041 | $0.01235 |
| Sonnet 5.5 | $0.00020 | $0.00618 |
| Haiku 4.5 | $0.00010 | $0.00309 |
Grade A, and why
autonovel-revision 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 2mo 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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonovel — Phase 3a (Revision)
Iteratively revise a complete draft. Each cycle combines structural critique, reader-panel reactions, and mechanical cuts into a single revision brief, then executes targeted rewrites against it. Loops until quality plateaus or the cycle cap is hit.
When to use this skill
- State.json shows
"phase": "revision" - All chapters exist in
$AUTONOVEL_WORKSPACE/$NOVEL_SLUG/chapters/(drafting complete) - A novel-level score has been recorded by
autonovel-drafting(the baseline this phase improves on)
Prerequisites
!`cd "$AUTONOVEL_WORKSPACE/$NOVEL_SLUG" && ls chapters/ | wc -l && ls -la outline.md world.md characters.md voice.md canon.md genre_context/story-contract.md genre_context/compiled/evaluation-chapter.md genre_context/resolved.json`
!`cat "$AUTONOVEL_WORKSPACE/$NOVEL_SLUG/state.json"`
If chapters are missing or chapters_drafted < chapters_total, hand back to autonovel-drafting. If foundation files are missing, hand back to autonovel-foundation.
Cycle cap constants (used in Step 7):
MIN_REVISION_CYCLES = 3MAX_REVISION_CYCLES = 6PLATEAU_DELTA = 0.3(novel-score change below this signals plateau)
The phase maintains a per-novel revision-cycle counter in state.json (under a revision_cycle key — initialize to 0 on first entry to this phase).
Dynamic profile requirements
Build a separate PROFILE REQUIREMENTS block for each chapter. The deterministic
assembler reads profile.rating and profile.content_tags from state.json,
normalized tags and literal exclusions from genre_context/resolved.json, the
Content-Tag Coverage Map from outline.md, and the matching rating definition
from ../autonovel/references/ratings.md:
!`python ${HERMES_SKILL_DIR}/../autonovel/lib/profile_requirements.py --state "$AUTONOVEL_WORKSPACE/$NOVEL_SLUG/state.json" --resolved "$AUTONOVEL_WORKSPACE/$NOVEL_SLUG/genre_context/resolved.json" --outline "$AUTONOVEL_WORKSPACE/$NOVEL_SLUG/outline.md" --ratings "${HERMES_SKILL_DIR}/../autonovel/references/ratings.md" --chapters <chapter-number>`
What ships with it
12 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.
- lib/chapter_patch.py 6.8 KB runs code
- lib/check_grammar.py 4.4 KB runs code
- lib/genre_models.py 3.0 KB runs code
- lib/genre_patterns.py 12 KB runs code
- lib/grading.py 2.7 KB runs code
- lib/slop_detect.py 20 KB runs code
- lib/slop_ngrams.py 6.6 KB runs code
- lib/state.py 3.2 KB runs code
- references/adversarial-prompt.md 3.7 KB
- references/reader-panel-personas.md 7.5 KB
- references/revision-brief-prompt.md 7.0 KB
- references/revision-execution-prompt.md 4.7 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.
- 2mo ago First seen · 242 lines · 102 tokens per session scan A be7592ed6c82
autonovel-revision is a skill published in the GitHub repository DukeTwoCan/autonovel-agent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 102 tokens to every session and 3,088 once invoked, about $0.0004 per session on Opus 5.5. 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.
Other skills, from other repositories
story-review
A review workflow for finding story problems from several viewpoints, including issues with structure, characters, wording, and fictional world rules. It can use multiple reviewer agents or work alone.
story-setup
A setup tool for deploying a Chinese web-fiction writing toolkit into a project. It configures supported coding agents and uses shared files for environments without a dedicated integration.
story
A Chinese-language routing tool for fiction writers that directs requests to tools for outlining, writing, analysis, reviews, covers, importing novels, browser control, and project management.
story-cover
A novel-cover generator that creates a cover with the book title and author name. It chooses a visual style from the book information and can use Codex's image-generation tool.
story-deslop
A writing editor for Chinese web novels that detects writing patterns often associated with AI-generated text and makes the prose feel more natural.
story-import
A tool for turning an existing novel into a structured writing project. It analyzes the book and organizes its characters, settings, plot plans, chapters, and tracking data for later writing.