ZeroSlop: Instructions file for Codex

AGENTS.md

ZeroSlop AGENTS.md is an instructions file for Codex, OpenCode from manavmishra/ZeroSlop. It costs 1,564 tokens per session, scanned A, original, MIT.

A portable skill for AI coding agents that detects, rewrites, and checks vague or excessive wording. It includes an optional offline Python scorer and has no build step.

In plain words
What is it for?
Improving text with the detect, rewrite, verify, and learn process, then optionally scoring its clarity.
Why use it?
It gives agents a repeatable way to identify and reduce low-value writing without requiring a specific coding tool.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions .claude-plugin; mentions CLAUDE.md; mentions Claude Code.

This is manavmishra/ZeroSlop's own configuration. It tells Codex and OpenCode how to work on ZeroSlop itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ZeroSlop configures →

Reuse

Borrowing it

Nothing to install: this file belongs to manavmishra/ZeroSlop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/manavmishra/ZeroSlop/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/manavmishra/ZeroSlop

Made for: Codex, OpenCode.

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.

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README.md
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Per session 1,564 This file is loaded in full into every session.
When invoked 1,564 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.01564 $0.01564
Opus 5.5 $0.00626 $0.00626
Sonnet 5.5 $0.00313 $0.00313
Haiku 4.5 $0.00156 $0.00156

Measured 1mo ago against content hash 9a805c81c5b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ZeroSlop AGENTS.md 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 1mo ago.

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.

AGENTS.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI coding agents (Claude Code, Codex, OpenCode, Warp, etc.) working in or executing this repository.

Development coordination

For repository development, also read CLAUDE.md and follow its bounded, free-only Asana housekeeping contract. This applies across coding assistants, not only Claude. It does not apply when merely executing the portable editing skill on a user's writing, and it does not add networking to the runtime. Questions and status-only requests retain the read-only boundary in that file.

What this repo is

A portable agent skill. The runtime artifact is SKILL.md (YAML frontmatter

  • the detect → rewrite → verify → learn loop). scripts/slopscore.py is an optional heuristic surface scorer — stdlib-only Python, offline, read-only. There is no build step. Keep all wording harness-neutral: Claude Code and Codex are examples, not limits.

Executing the skill

  1. Read SKILL.md fully; it routes you to references/ by genre and task.
  2. Run the scorer when python3 exists: python3 scripts/slopscore.py --explain <file> (or stdin). If python3 is unavailable, degrade gracefully: skip the metered gate, use references/tells.md + references/overcorrection.md and the self-rubric in SKILL.md step 4 as the gate. Never fail the task because the scorer can't run.
  3. The hard rules in SKILL.md (no fabrication — including interior-experience claims; flag hollow spans; no over-correction) are non-negotiable in every harness.

Key files

  • SKILL.md — source of truth for behavior.
  • data/patterns.json + data/learned.json — the weighted tell database; reviewed shared rules merge over base at runtime. Private online learning lives under $ZERO_SLOP_HOME (default ~/.zero-slop) and loads last, so an install or update never overwrites it. data/learned-log.md is the dated log of reviewed shared taxonomy changes.
  • No trained model ships. One was built and cut for being confidently wrong on current-era text; references/evidence.md documents that negative result. Do not reintroduce a trained channel without a transfer test on drafts from the model generation users actually face.
  • scripts/contextual.py is a maintainer-only release-research tool. It prepares and validates source-bound host-model reviews, never calls a model, and never changes production output or the surface score. It is deliberately excluded from the packaged skill; Zero Slop has one production workflow and no runtime feature switch.
  • scripts/learn.py --guide --for <draft> retrieves reason-labelled private fix preferences. Retrieval is advisory lexical coverage, not a probability, and must abstain when no relevant evidence exists.
  • scripts/reader_review.py prepares source-and-audience-bound passage packets and escaped standalone reports for optional audience reviews. It performs no inference, networking, or file writes. references/reader-review.md owns the host workflow: simulated reactions are hypotheses, context isolation is a harness responsibility, and reader feedback never trains private preferences or changes the score without a person's explicit approval through the normal editing/learning path. It adds no calls to the hosted editing pipeline.
  • $ZERO_SLOP_HOME/voices/ — private named scoring profiles, outside the repository. The sample-based builder records an existing lexicon or rider term after one exact word match. It does not store the sample or model the writer's full style, and the profile has no effect unless selected with --voice NAME. Never commit these profiles.
  • $ZERO_SLOP_HOME/notes.json — a run counter and one boolean, so the single GitHub-star note can be shown once and never again. It records no text, no scores, no paths and no identifiers, is never sent anywhere, and the note is suppressed entirely by ZERO_SLOP_NO_NOTES=1, by --json, --batch or --gate, and by any run whose stdout is not a terminal.
  • bench/ (if present) — reproducible benchmark harness and scorecard.
  • website/ is a retained, testable snapshot, not the source of the live site. Its deploy command intentionally refuses. The live site at zero-slop.ai is built from github.com/manavmishra/ZSWebpage; make and deploy site changes there. Do not remove the refusal guard or deploy this snapshot to zero-slop.ai. Identify production by its domain, not its palette: the colour named here went stale the day the site was repainted.

Read the full file on GitHub · 111 lines

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. 1mo ago Changed · +7 lines · +106 tokens per session 9a805c81c5b4
  2. 1mo ago Changed · +8 lines · +79 tokens per session c3b40baecf8d
  3. 1mo ago Changed · +7 lines · +110 tokens per session 00b7de39dce2
  4. 1mo ago Changed · +6 lines · +110 tokens per session c9a73c5a4523
  5. 1mo ago First seen · 83 lines · 1,159 tokens per session scan A 92d0b0484b55

Subscribe to this mod's changes

ZeroSlop AGENTS.md is an instructions file published in the GitHub repository manavmishra/ZeroSlop (148 stars, last pushed yesterday), licensed MIT. It adds 1,564 tokens to every session, about $0.0063 per session on Opus 5.5. 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.

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