AD novel-bug-checker
小说Bug检查专家。检查小说中的逻辑漏洞、角色不一致、节奏问题或叙事Bug，提供分级报告和修复建议。Keywords: 小说检查, bug检查, 逻辑漏洞, 角色一致性, 节奏分析, 叙事质量, 小说纠错.
小说Bug检查专家。检查小说中的逻辑漏洞、角色不一致、节奏问题或叙事Bug，提供分级报告和修复建议。Keywords: 小说检查, bug检查, 逻辑漏洞, 角色一致性, 节奏分析, 叙事质量, 小说纠错.
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
This is a copy of a skill from another catalog; the rating counts the canonical one: novel-bug-checker (ClawHub)
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 41/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (novel-bug-checker) differs from the folder (novel-bug-checker-v2)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 37 steps
- 100Execution cost. Instruction body is 1097 tokens
- 100Running it twice. No mutating operations
- low 10 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 103: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 23 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
This skill is mostly a novel-review tool, but some included templates and examples expand into host diagnostics, cross-skill execution, and publishing-style actions that users should review first.
LLM: suspicious (high) · 8 Jul 2026