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.
curl -O https://raw.githubusercontent.com/Zandereins/schliff/main/AGENTS.mdgit clone --depth 1 https://github.com/Zandereins/schliffWrote 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.
[](https://agentmods.dev/instructions/zandereins/schliff/agents-md)<a href="https://agentmods.dev/instructions/zandereins/schliff/agents-md"><img src="https://agentmods.dev/badge/instructions/zandereins/schliff/agents-md/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.
<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>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.
| Model | Per session | Once 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 |
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.
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). Runmake lintbefore 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.environreads, 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: passin scoring code.
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.
- 1mo ago First seen · 80 lines · 1,073 tokens per session scan A 13d8ceec7d2a
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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.