AC ere
Editorial Refinement Engine — transforms LLM-generated text into editorially refined prose: more natural, less predictable, with varied rhythm, lexicon, structure and style, preserving facts, entities and quotes. English and Portuguese (pt-BR). / Transforma texto gerado por LLMs em prosa editorial refinada: mais natural, menos previsível, com variação de ritmo, léxico, estrutura e estilo, preservando fatos, entidades e citações. Inglês e português (pt-BR).
Editorial Refinement Engine — transforms LLM-generated text into editorially refined prose: more natural, less predictable, with varied rhythm, lexicon…
As a process C 61/100 · Has gaps — weak spots: when it triggers, running it twice, progress reporting
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 460 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
body-longSKILL.md body ≈ 6351 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 61/100
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 13 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 60Consistency. The Hermes dialect needs category and tags
- 65Failures and branches. 3 branches
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 6351 tokens
- 100Steps. 108 steps
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 16 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)
- +2Single-language instructions
- +3Description length 460: enough signal without eating the budget
- +4Structure: 41 headings
- +3Step-by-step instructions: 108 items
- +3Output format is stated explicitly
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.