[External Plugin]: everwrite

[m4bwav]

Plugin name

everwrite

Short description

Makes prose read as written by a person: removes AI writing tells (dashes, stock words, not-X-but-Y contrasts, staged setups, inflated significance, chatbot residue), keeps sentences readable, and checks the result with a bundled stdlib script instead of a reread. Evergreen: it re-researches the signs of AI writing on a schedule and carries the evals that prove it works.

GitHub repository

m4bwav/everwrite

Plugin path inside the repository

No response

Ref to review

v1.0.0

Commit SHA to review

8b9f0f4c058fa77eb3a23e15b18bd470dcb1def3

Version

1.0.0

License identifier

MIT

Author name

Mark Rogers

Author URL

https://github.com/m4bwav

Homepage URL

https://github.com/m4bwav/everwrite

Keywords

writing
humanizer
ai-tells
prose
style
lint
agent-skills
evergreen

Additional notes for reviewers

A writing-style skill: guidance for prose that reads as written by a person. It bundles one standard-library Python checker (tells.py) the agent can run on a draft; nothing is sent over the network.

Submission checklist

• The plugin lives in a public GitHub repository.
• The ref and/or sha I provided is immutable (release tag and/or full 40-character commit SHA), not a branch.
• This submission follows this repository's contribution, security, and responsible AI policies.
• This plugin is not already listed in the Awesome Copilot marketplace.

[github-actions]

✅ External plugin intake passed

This submission passed automated intake validation and quality checks and is ready for maintainer review.

View workflow run · Download full quality gate logs

• Plugin: everwrite
• Repository: https://github.com/m4bwav/everwrite
• Ref: v1.0.0
• SHA: 8b9f0f4c058fa77eb3a23e15b18bd470dcb1def3

Reviewer signals

These are non-blocking heuristics for maintainer review; they are not evidence of misconduct or low quality.

Signal	Result
Repository age	9 day(s)
Repository activity	repository is 9 day(s) old; 0 stars; 0 watchers; 0 forks
Repository counts	0 stars · 0 watchers · 0 forks · 0 open issues/PRs
Homepage heuristics	⚠️ pricing

Quality gate summary

Legend: ✅ pass · ⚠️ warning · 🛑 fail

Gate	Status
spec compliance (non-blocking)	✅ pass
vally lint	✅ pass
install smoke test	✅ pass
version match	✅ pass
ref/sha consistency	✅ pass
canvas structure	⚪ not_run

• spec compliance: pass
• vally lint: pass
• install smoke test: pass
• version match: pass
• ref/sha consistency: pass
• canvas structure: not_run
• overall: pass

spec compliance output (✅ pass)

Agent Plugins v1.0.0 manifest checks passed for plugin.json.

vally lint output (✅ pass)

✅ everwrite (2/2 checks passed)
    ✓ [spec-compliance] All 1 skill(s) are spec-compliant.
        ✓ spec-compliance: All spec checks passed.
    ✓ [valid-refs] All file references across 1 skill(s) are valid.
        ✓ valid-refs: All file references resolve to existing files within the skill directory.

1 skill(s) linted, 1 passed

install smoke test output (✅ pass)

Install smoke test succeeded. Verified /tmp/external-plugin-quality-zObeZD/copilot-home/.copilot/installed-plugins/external-plugin-intake/everwrite/plugin.json.

Version match output

- v1.0.0: matched version "1.0.0" at "plugin.json".
- 8b9f0f4c058fa77eb3a23e15b18bd470dcb1def3: matched version "1.0.0" at "plugin.json".

Ref/SHA consistency output

source.ref "v1.0.0" resolves to the same commit as source.sha "8b9f0f4c058fa77eb3a23e15b18bd470dcb1def3".

Canvas structure output

Canvas structure gate skipped because plugin is not tagged with "canvas".

Canonical external.json payload

{
  "name": "everwrite",
  "description": "Makes prose read as written by a person: removes AI writing tells (dashes, stock words, not-X-but-Y contrasts, staged setups, inflated significance, chatbot residue), keeps sentences readable, and checks the result with a bundled stdlib script instead of a reread. Evergreen: it re-researches the signs of AI writing on a schedule and carries the evals that prove it works.",
  "version": "1.0.0",
  "author": {
    "name": "Mark Rogers",
    "url": "https://github.com/m4bwav"
  },
  "repository": "https://github.com/m4bwav/everwrite",
  "homepage": "https://github.com/m4bwav/everwrite",
  "license": "MIT",
  "keywords": [
    "writing",
    "humanizer",
    "ai-tells",
    "prose",
    "style",
    "lint",
    "agent-skills",
    "evergreen"
  ],
  "source": {
    "source": "github",
    "repo": "m4bwav/everwrite",
    "ref": "v1.0.0",
    "sha": "8b9f0f4c058fa77eb3a23e15b18bd470dcb1def3"
  }
}