anti-slop-brain
Skill51 starsChanged 4 months agoApache-2.0View on GitHub
Scaffold and operate Anti-Slop Brain, a source-cited Obsidian brain for detection and repair of AI slop in prose, code, documentation, and agent output, grounded in corpus evidence rather than authorship detection. Use when the user says "anti-slop-brain", "Anti-Slop Brain", "create a detection and repair of AI slop in prose, code, documentation, and agent output, grounded in corpus evidence rather than authorship detection brain", "import sources", "synthesize plan", "render report", or wants a persistent vault-backed operating system for detection and repair of AI slop in prose, code, documentation, and agent output, grounded in corpus evidence rather than authorship detection.
In this repository2 other files it gives its agents.
- anti-slop-brain/AGENTS.mdAGENTS.md
- anti-slop-brain/CLAUDE.mdCLAUDE.md
The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 7 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 51
Never store credentials in the vault.
- Distinctive: line 52
Never make domain-specific claims without dated trustworthy sources.
- Very specific: line 53
Keep hot, index, overview, and log current.
- Distinctive: line 69
No authorship verdict, ever.
- Distinctive: line 70
No hard failure on a stylistic marker alone.
- Distinctive: line 71
No claim about detector accuracy, marker frequency, or prevalence without a current cited source
- Distinctive: line 72
No credentials, tokens, or private operator content in repo artifacts
- Distinctive: line 73
No model self-grading as a release gate.
- Very specific: line 75
Do not call this brain market-ready unless scripts/audit_brain.py --require market-ready passes.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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-onlyRequired Operating Rules
- Read
<vault>/CODEX.md. - Read
<vault>/wiki/hot.md. - Read
<vault>/wiki/index.md. - Preserve
.raw/as immutable source material. - Never store credentials in the vault.
- Never make domain-specific claims without dated trustworthy sources.
- Keep
hot,index,overview, andlogcurrent. - Record research evidence in
references/source-ledger.json. - Record domain adapter completion in
references/adapter-manifest.json.
Script Mapping
new->python scripts/scaffold_vault.pyingest->python scripts/ingest_source.pysynthesize->python scripts/synthesize_brain.pyreport->python scripts/render_brain_report.pyvisuals->python scripts/generate_vault_visuals.pylint->python scripts/lint_vault.pynext->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
Do not call this brain market-ready unless scripts/audit_brain.py --require
market-ready passes. A scaffold is not a finished brain.
Research Refresh
30 days for model-specific marker cohorts and detector claims; 90 days for corpus studies and regulation; before every release for any numeric claim
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

