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aixarizzo/kill-slop

Make AI writing sound like you, not like AI. Two Claude Code skills that audit text against your own voice and fix only what fails.

History

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kill-slop/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 8896899097c6

No earlier version was observed for comparison.

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Verified commit 8896899097c6b169699d93fb63f17312cb0b13d9

21GitHub stars
1star in 7 days
2skills in this repository
0commits in 30 days

Heat

1.7
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  • Star growth, last 24 hoursNot available
  • Rank movement, last 7 daysNot available
  • Commits, last 30 daysNot available
  • Accounts asking about it through MCP, last 7 daysNot available
  • Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Oct 25, 2026Nov 3, 202621

30-day change not yet available: not enough history.

Individual skills in this repository

How it works

anti-slop

When your agent uses it

Remove AI slop from any voice-bearing prose — original posts, threads, articles, long-form, emails, docs, READMEs, marketing copy, bios, scripts. Use when drafting text meant to sound like a specific person or brand, when rewriting text that reads generic, corporate, or AI-generated, or when asked to humanize, de-slop, audit, or "make this sound like me / like us." Works in any agent (Claude Code, Codex, Cursor, custom) — no tools required. NOT built for X/Twitter reply batches: those need target selection on top of this skill's gate, which is out of scope here.

What it loads into context

Frontmatter

154 tokens

Always available to the agent

SKILL.md

2,534 tokens

When the skill is activated

Reference documents

8,300 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. Modes
  2. The contract — verify before generating anything
  3. Layer 1 — FEED (starve the mean, feed the particular)
  4. Layer 2 — GENERATE (escape the mode)
  5. Layer 3 — GATE (audit in clusters, score honestly)
  6. Layer 4 — FIT (replace toward the voice, never toward neutral)
  7. Refusals (what this skill will not do)
  8. References (load on demand)
  9. Quick reference

Files

  • SKILL.mdcore10,890 bytes
  • references/audit-rubrics.mddoc5,194 bytes
  • references/generation.mddoc2,863 bytes
  • references/master-list.mddoc17,405 bytes
  • references/tells.mddoc5,992 bytes
  • references/voice-binding.mddoc3,920 bytes
Read SKILL.md

# anti-slop

Slop is not a vocabulary problem. It is manufactured upstream: alignment training collapses output toward the statistical mean (mode collapse, driven by typicality bias in preference data — arXiv 2510.01171), single-sample generation returns the most typical completion, and a context starved of specifics can only produce the average of everything. Banned-word lists treat the symptom. At adoption scale they mint a new house style — the zero-em-dash, no-adverbs voice is already its own tell, and Wikipedia's own tells-catalog maintainers warn that scrubbing signs "could just make detection harder."

**The job: make the output sound like a specific person with something specific to say.** Both halves are mandatory. This skill intervenes at four layers and measures whether it worked. It is a writing-quality protocol, not a detector-evasion tool.

---

## Modes

| Mode | When | Run |
|---|---|---|
| **DRAFT** | writing new text | Layers 1→2→3→4, ship with score |
| **AUDIT** | handed existing text | Layers 3→4, report score before/after + fix list |
View the complete source on GitHub

Skills included

  • anti-slop
  • kill-slop

Repository facts

License
MIT
Created
Jul 31, 2026
Last pushed
Aug 6, 2026
Forks
3
Open issues
0
Project activity
Slowing

Before you install

Instructions only

Automated signals, not a guarantee

Checked Nov 5, 2026

  • No broad tool permissions
  • No dangerous shell commands
  • No network access
  • No hidden or obfuscated text
  • No instruction overrides
  • No executable scripts
  • No access to secrets
  • No requests to vote in Hot

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

No combined signals at this commit.

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md anti-slop/SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md anti-slop/SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md anti-slop/SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md anti-slop/SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md anti-slop/SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md anti-slop/SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.