anastasiyaw/codex-claude-code-config/humanize-english

Claude Code and agent skill by anastasiyaw/codex-claude-code-config

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Edit English drafts for clear, natural language while preserving facts, uncertainty, technical meaning, citations and genre. Use when: humanize this text, remove AI-style filler, improve English prose, or edit an English article before publication. Not an authorship detector or a promise to bypass one. For Russian use humanize-russian; for thesis/evidence and structure use article-structure-review.

Install

npx vskill@latest install anastasiyaw/codex-claude-code-config/humanize-english

SKILL.md

Clear, Natural English Editing

Improve the reader's understanding, not a detector score. A good reference can have repeated terminology, regular tables, definitions and no anecdote. Keep the user's intended voice and the destination's format.

Facts Are Not Style Material

  • Preserve supplied numbers, units, dates, versions, names, citations, negation,

uncertainty and claim scope. Do not silently update a historical date.

  • Never invent a count, quote, interview, personal experience, experiment,

failure, comparison or source to make prose more vivid.

  • Add specificity only when the supporting evidence supplies it. If no

measurement exists, retain uncertainty or remove an unsupported claim. An unsupplied number is not an improvement over a vague quantity.

  • Label illustrative scenarios as hypothetical. Do not present them as a real

case study or treat their invented values as proof of a product claim.

  • Preserve identifiers, executable code and technical obligations. Words such

as may, must, can and will are not interchangeable style alternatives.

  • Reuse provided facts without asking the user to repeat them. Research a

material factual gap when research is in scope; otherwise identify the gap without manufacturing an answer or blocking supported edits.

Match the Genre

GenreUseful editingAvoid forcing
technical referenceexact terms, clear conditions, scannable structureslang, story openings, rhetorical questions, sales CTA
explanation/tutorialprerequisites and action/result sequencean untested command described as verified
analysisseparate observation, inference and limitsstronger causal claims than the evidence supports
personal narrativethe author's supplied experiences and voiceinvented first-person testimony
marketinga supported benefit and relevant next actionfabricated testimonials, percentages or guarantees

Contractions, fragments, humour, analogies and direct address are options, not quotas. Use them when they fit the audience and improve comprehension. Parallel lists and consistent terminology can be desirable in documentation.

Editing Procedure

  1. Identify the reader's task, genre, source material and protected facts from

the existing request and draft. Do not add an unnecessary intake questionnaire.

  1. Remove empty intensifiers and duplicated ideas. Use direct verbs when meaning

is preserved; keep connectors that express real causality or contrast.

  1. Clarify who acts, on what, under which conditions and with what result.

Do not supply a result that the source does not establish.

  1. Fix awkward rhythm where it hinders reading. Do not maximize variation,

enforce a paragraph pattern or replace terms to appear less predictable.

  1. Compare input and output for semantic changes. Check quantities with their

units, denominator, time frame and uncertainty, not just the numeral.

  1. Return the edited text and any necessary factual caveat. Once the edit is

sufficient, continue the remaining requested publication workflow rather than starting another stylistic pass automatically.

Examples: Same Facts, Clearer Prose

Supplied textFaithful edit
In order to load the file, the user must select Open.To load the file, select Open.
The tool may reduce processing time; no benchmark is available.The tool may save processing time, but no benchmark is available.
Some testers reported failures. The sample size was not recorded.Some testers reported failures; the sample size was not recorded.
On 2026-09-01, 12 of 40 runs failed with version 2.1.With version 2.1, 12 of 40 runs failed on 2026-09-01.

These are editing fixtures, not results from a deployed product. Unknown sample size stays unknown; a date, denominator and version do not disappear for fluency.

Verification

  • Every changed factual assertion still maps to the supplied material or a

source actually checked for this task.

  • Conditions, uncertainty, negatives, numbers, units, dates, versions and code

are preserved unless an evidence-backed factual correction was requested.

  • The result helps its intended reader without an unrequested genre change.
  • No invented testimony or detector-evasion claim was added.

A no-change verdict is valid for an already clear passage. Do not add numbers, questions, opinions, deliberate errors or fake admissions to satisfy a score.

Gotchas

  • Detector score as evidence: it establishes neither authorship nor factual

accuracy. Do not promise an undetectable edit.

  • Replacing every vague quantity: guessing a plausible percentage fabricates

evidence when the sample size is unknown.

  • Forced informality: slang can make a reference harder to understand,

particularly for readers using English as an additional language.

  • Synonym churn: repeating a technical term is safer than creating a false

distinction through alternate names.

  • Example contamination: a skill example is not an event that happened to

the user or author.

Troubleshooting

SymptomCheckCorrection
polished but unsupported claimsource scope and conditionsrestore supported meaning or remove the claim
bureaucratic phrasingaction and actoruse a direct sentence without changing obligations
repetitive textrepeated meaning versus necessary termscut redundancy, keep precise terminology
reference sounds like an advertisementrequested genreremove promotion and invented narrative
detector flags the passageactual writing and detector limitationsrepair evidenced defects, not a guessed authorship score

Sources and Maintenance

Reviewed 2026-09-06. Owner: the existing writing-skill maintainers. Change through canonical Git, focused before/after fixtures, independent review and the supported installer; retain the prior revision and installation backup for rollback. Refresh sources when guidance changes or a factual/genre regression is observed, not by automatically rewriting working prose on a schedule.

updated 2026-05-27: clarity and audience matter more than forced informality.

revised 2023-07-10: limitations of the evaluated detectors, not a test of every current detector or a guarantee about any individual passage.

revised 2025-07-03: corpus-level biomedical analysis, not an individual-author test or a prescriptive word blacklist.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
150
Repository forks
24
7-day trend score
25

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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