anti-slop-brain

anti-slop-brain is a skill for Claude Code from AgriciDaniel/anti-slop. It costs 152 tokens per session (889 once invoked), scanned A, original, Apache-2.0.

A set of instructions for maintaining the detection and provenance part of Anti-Slop Brain, a source-cited knowledge vault for examining unreliable or low-quality AI-generated text and code.

In plain words
What is it for?
Use it to maintain notes and evidence about detection methods, provenance questions, governance, deterministic scans, and related deliverables in the vault.
Why use it?
It keeps research grounded in stored notes and official web sources, while preventing unsupported claims about which model produced something. It also records source evidence and claim risk.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions Codex.

Part of the anti-slop-brain plugin — 1 skill, 4 agents shipped together

Good fit Use it to maintain notes and evidence about detection methods, provenance questions, governance, deterministic scans, and related deliverables in the vault.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agricidaniel/anti-slop/anti-slop-brain
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add AgriciDaniel/anti-slop --skill anti-slop-brain
Clone the repo
git clone --depth 1 https://github.com/AgriciDaniel/anti-slop

Made for: Claude Code.

Or install anti-slop-brain, the plugin that ships this one along with the rest of its 1 skill, 4 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for anti-slop-brain

README.md
[![agentmods](https://agentmods.dev/badge/skills/agricidaniel/anti-slop/anti-slop-brain/github.svg)](https://agentmods.dev/skills/agricidaniel/anti-slop/anti-slop-brain)
Your own site
<a href="https://agentmods.dev/skills/agricidaniel/anti-slop/anti-slop-brain"><img src="https://agentmods.dev/badge/skills/agricidaniel/anti-slop/anti-slop-brain/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for anti-slop-brain

Your own site · 80×15
<a href="https://agentmods.dev/skills/agricidaniel/anti-slop/anti-slop-brain"><img src="https://agentmods.dev/badge/skills/agricidaniel/anti-slop/anti-slop-brain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 889 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00152 $0.00889
Opus 5 $0.00076 $0.00445
Sonnet 5 $0.00030 $0.00178
Haiku 4.5 $0.00015 $0.00089

Measured 12d ago against content hash 0feed87c0664, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

anti-slop-brain scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (anti_slop_brain/__init__.py, anti_slop_brain/__main__.py, anti_slop_brain/cli.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

anti-slop-brain/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Anti-Slop Brain

Operate the deployed vault first. Treat CODEX.md, wiki/hot.md, and wiki/index.md as vault-root-relative paths, where the vault root is the directory passed to --vault or opened in Obsidian. In this repo, the template vault root is assets/template-brain/ and the demo vault root is examples/sample-vault/.

Secretary: use agents/anti-slop-secretary.md for grounded answers, claim review, and vault maintenance. That secretary reads the brain first, cites a vault note and an official URL, and stays advisory and read-only.

Commands

/anti-slop-brain new <client-slug> --owner <name>
/anti-slop-brain ingest --vault <path> --file <source>
/anti-slop-brain synthesize --vault <path>
/anti-slop-brain report --vault <path>
/anti-slop-brain visuals --vault <path>
/anti-slop-brain lint --vault <path>
/anti-slop-brain next --vault <path>

Source checkout equivalent:

anti-slop-brain new <client-slug> --owner <name>
anti-slop-brain ingest --vault <path> --file <source>
anti-slop-brain synthesize --vault <path>
anti-slop-brain report --vault <path> --html-only

Required Operating Rules

  1. Read <vault>/CODEX.md.
  2. Read <vault>/wiki/hot.md.
  3. Read <vault>/wiki/index.md.
  4. Preserve .raw/ as immutable source material.
  5. Never store credentials in the vault.
  6. Never make domain-specific claims without dated trustworthy sources.
  7. Keep hot, index, overview, and log current.
  8. Record research evidence in references/source-ledger.json.
  9. Record domain adapter completion in references/adapter-manifest.json.

Script Mapping

  • new -> python scripts/scaffold_vault.py
  • ingest -> python scripts/ingest_source.py
  • synthesize -> python scripts/synthesize_brain.py
  • report -> python scripts/render_brain_report.py
  • visuals -> python scripts/generate_vault_visuals.py
  • lint -> python scripts/lint_vault.py
  • next -> python scripts/guide_next_action.py

Quality Gates

  • No authorship verdict, ever; this brain reports defects, not origin
  • No hard failure on a stylistic marker alone; markers route to structural tests
  • No claim about detector accuracy, marker frequency, or prevalence without a current cited source
  • No credentials, tokens, or private operator content in repo artifacts
  • No model self-grading as a release gate; deterministic scanners re-run after every repair

Read the full file on GitHub · 81 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 81 lines · 152 tokens per session scan A 0feed87c0664

Subscribe to this mod's changes

anti-slop-brain is a skill published in the GitHub repository AgriciDaniel/anti-slop (50 stars, last pushed yesterday), licensed Apache-2.0. It adds 152 tokens to every session and 889 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.