opencaselaw: Instructions file for Codex

AGENTS.md

opencaselaw AGENTS.md is an instructions file for Codex, OpenCode from jonashertner/opencaselaw. It costs 572 tokens per session, scanned A, original, MIT.

A project instruction file for OpenCaseLaw, a production Swiss legal database and public API. It defines startup reading, safety rules, system boundaries, and maintenance practices.

In plain words
What is it for?
It guides work on read-only production databases, full-text search, legal citations, source scrapers, rebuilds, and other maintenance tasks.
Why use it?
It reduces the risk of corrupting legal data, weakening search or citation accuracy, or making unsafe changes to live infrastructure.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions AGENTS.md.

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

Reuse

Borrowing it

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

Made for: Codex, OpenCode.

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README.md
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Per session 572 This file is loaded in full into every session.
When invoked 572 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 $0.00572 $0.00572
Opus 5.5 $0.00229 $0.00229
Sonnet 5.5 $0.00114 $0.00114
Haiku 4.5 $0.00057 $0.00057

Measured 1mo ago against content hash a342ca96b55b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

opencaselaw 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 · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - OpenCaseLaw Codex Guidance

OpenCaseLaw is a production Swiss legal corpus and public API. Treat this repo as live legal infrastructure: favor evidence, small reversible changes, and explicit escalation over broad autonomous edits.

Bootstrap

Before non-trivial maintenance work, read:

  1. CLAUDE.md
  2. ~/.claude/projects/-Users-jonashertner-caselaw-repo-1/memory/MEMORY.md
  3. Relevant memory topic files from that index
  4. TECHNICAL_OVERVIEW.txt
  5. The private maintenance log under OPENCASELAW_PRIVATE_ROOT when set; otherwise maintenance scripts resolve opencaselaw-internal beside the primary checkout (including when invoked from a linked worktree)

Verify memory claims against current code, logs, or production probes before using them as ground truth.

Hard Rules

  • Production read DBs must be opened mode=ro&immutable=1.
  • Never add write paths to live decisions.db, reference_graph.db, or decision_structure.db.
  • Preserve atomic-swap rebuild behavior; do not replace it with in-place DB writes or naive copies.
  • All FTS5 user input must pass through _sanitize_fts5.
  • Do not construct legal citation strings or direct quotations yourself. Use the project citation and verbatim-text sources.
  • New scraper data paths must use official sources, not entscheidsuche. Retire es_* feeds only after verified direct parity and no coverage loss.
  • Tests stay offline unless a target explicitly says it is a live check.
  • Never read or print secrets from .env*, crontab, systemd environment files, or production config.

Autonomous Boundary

Autonomous Codex work may measure, document, improve read-only monitoring, add offline tests, and make small non-gated fixes after verification.

In autonomous mode, stop at a proposal for changes touching:

  • publish.py, build_fts5.py, DB schemas, base_scraper.py
  • new scrapers or material scraper behavior changes
  • QC blocking behavior
  • state/**, production output DBs, billing, secrets, backup destinations, systemd deployment behavior, or paid resources

Read the full file on GitHub · 61 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 · +1 lines · +35 tokens per session a342ca96b55b
  2. 1mo ago First seen · 60 lines · 537 tokens per session scan A 134f57c02ef6

Subscribe to this mod's changes

opencaselaw AGENTS.md is an instructions file published in the GitHub repository jonashertner/opencaselaw (75 stars, last pushed today), licensed MIT. It adds 572 tokens to every session, about $0.0023 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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