schliff: Instructions file for Codex

AGENTS.md

schliff AGENTS.md is an instructions file for Codex, OpenCode from Zandereins/schliff. It costs 1,073 tokens per session, scanned A, original, MIT.

Repository instructions for Schliff, a deterministic scorer for one AI instruction file such as SKILL.md, AGENTS.md, CLAUDE.md, or .cursorrules. It reports per-dimension and combined scores without changing the file.

In plain words
What is it for?
Use it to score an existing instruction file, view text or JSON results, and run the project's Python tests and build commands.
Why use it?
It helps evaluate and improve instruction files consistently while keeping the scoring repeatable and side-effect free.

Instructions file for CodexOpenCode

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

This is Zandereins/schliff's own configuration. It tells Codex and OpenCode how to work on schliff 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 schliff configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Zandereins/schliff. 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/Zandereins/schliff/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Zandereins/schliff

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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Your own site · 80×15
<a href="https://agentmods.dev/instructions/zandereins/schliff/agents-md"><img src="https://agentmods.dev/badge/instructions/zandereins/schliff/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,073 This file is loaded in full into every session.
When invoked 1,073 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 $0.01073 $0.01073
Opus 5.5 $0.00429 $0.00429
Sonnet 5.5 $0.00215 $0.00215
Haiku 4.5 $0.00107 $0.00107

Measured 1mo ago against content hash 13d8ceec7d2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

schliff 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 · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Schliff — agent instructions

Deterministic quality scorer for AI instruction files (Python, stdlib-only core, zero runtime dependencies). The engine lives in skills/schliff/scripts/; the web playground in playground/; the GitHub Action in action.yml.

Scope & composition

Use when you need to score or improve a SKILL.md, AGENTS.md, CLAUDE.md, or .cursorrules. Do not use it on a whole codebase — it grades one instruction file, not a repo. For a brand-new skill, use skill-creator instead; schliff improves existing files, it doesn't scaffold new ones.

  • Input: one instruction-file path. Output: a deterministic per-dimension score plus a composite (text or --json); scoring writes nothing.
  • Idempotent, no side effects — same input, same score, safe to re-run.
  • Requires Python >= 3.10, no other runtime dependency; supported versions 3.10–3.13.

Setup

pip install -e .
pip install pytest ruff

Optional extras: pip install -e ".[judge]" (LLM-judge smoke-test only — core scoring must stay zero-dependency).

Build

pip install build
python -m build

Pure-Python wheel; nothing to compile.

Test

make test-unit          # pytest unit suite — run this before every commit
make lint               # ruff check skills/schliff/scripts/
make test-all           # unit + integration + self + proof suites

A single scorer test file runs fast: python3 -m pytest skills/schliff/tests/unit/test_operational_coverage.py -q.

Example: verify a scorer change end-to-end (score a real file with your edit):

python3 skills/schliff/scripts/cli.py score AGENTS.md --json

Expected output: JSON with composite_score, per-dimension scores, and format: agents.md. If operational_coverage is missing, your registry wiring is broken — check SCORER_REGISTRY["agents.md"].

Code style

  • Ruff is the authority (pyproject.toml: E, F, W, I; line length 120). Run make lint before pushing — it gates Python and markdown (.markdownlint-cli2.jsonc), exactly as CI does.
  • Core engine code (skills/schliff/scripts/) is stdlib-only — never add a runtime dependency there, because "pip install schliff, zero deps" is the product promise CI and the README both make.
  • Scorers must be deterministic: no time, random, os.environ reads, or network in any scoring path, because same-input-same-score is the core guarantee. Tests pin this (test_purity_no_forbidden_imports).
  • Prefer explicit error handling; no silent except: pass in scoring code.

Read the full file on GitHub · 80 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 First seen · 80 lines · 1,073 tokens per session scan A 13d8ceec7d2a

Subscribe to this mod's changes

schliff AGENTS.md is an instructions file published in the GitHub repository Zandereins/schliff (17 stars, last pushed yesterday), licensed MIT. It adds 1,073 tokens to every session, about $0.0043 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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