SKILL verified MIT Self-run

Apply Cuts

Name: Apply Cuts
Availability: InStock
Author: tchr-dev

skill-tchr-dev-autonovel-apply-cuts · by tchr-dev

Apply adversarial-edit cuts to chapter files (mechanical quote-matching removal). Wraps scripts/apply_cuts.py. Filters by cut type (OVER-EXPLAIN, REDUNDANT typically yield ~55-60% of cuts). Use after adversarial-edit during revision cycles.

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Install

$ agentstack add skill-tchr-dev-autonovel-apply-cuts

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

✓ Prompt-injection patterns
✓ Secret / credential exfiltration
✓ Dangerous shell & filesystem operations
✓ Untrusted network calls
✓ Known-malicious package signatures

What it can access

✓ Network access No
✓ Filesystem access No
✓ Shell / process execution No
✓ Environment & secrets No
✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

✓ Security review passed

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● 3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Apply cuts

Mechanical pass — no LLM call. Reads /edit_logs/chNN_cuts.json produced by adversarial-edit and removes matching quotes from chapters.

Common invocations

# Dry run on all chapters with cuts files
AUTONOVEL_NOVEL_DIR= python scripts/apply_cuts.py all --dry-run

# Apply only OVER-EXPLAIN and REDUNDANT cuts (the safest/most common types)
AUTONOVEL_NOVEL_DIR= python scripts/apply_cuts.py all --types OVER-EXPLAIN REDUNDANT

# Apply all cuts to chapters where adversarial-edit found ≥17% fat
AUTONOVEL_NOVEL_DIR= python scripts/apply_cuts.py all --min-fat 17

# Single chapter
AUTONOVEL_NOVEL_DIR= python scripts/apply_cuts.py 12

Failure modes

not found — the quote doesn't appear in the chapter (often because a previous cut already shifted whitespace; the script tries whitespace-normalised match before giving up)
ambiguous (N matches) — the quote appears more than once; the script refuses to guess which instance was meant
Skipped if quote < 25 chars

The script collapses runs of 3+ newlines down to 2 after applying cuts.

After running

Report:

Total words removed across chapters
Per-chapter applied / failed / skipped breakdown
Which chapters had the highest cut counts (revision priorities)

Suggest:

Re-evaluate any heavily-cut chapter with evaluate-chapter to confirm the score moved in the right direction
If failed count is high, manually inspect the cuts file — some quotes may need rephrasing in the cuts JSON before retrying

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Author: tchr-dev
Source: tchr-dev/autonovel
License: MIT

Install and usage instructions live in the source repository linked above.

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Versions

v0.1.0 Imported from the upstream source.