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.
curl -O https://raw.githubusercontent.com/jonashertner/opencaselaw/main/.agents/skills/opencaselaw-maintenance/SKILL.mdgit clone --depth 1 https://github.com/jonashertner/opencaselawWrote 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/skills/jonashertner/opencaselaw/opencaselaw-maintenance)<a href="https://agentmods.dev/skills/jonashertner/opencaselaw/opencaselaw-maintenance"><img src="https://agentmods.dev/badge/skills/jonashertner/opencaselaw/opencaselaw-maintenance/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/skills/jonashertner/opencaselaw/opencaselaw-maintenance"><img src="https://agentmods.dev/badge/skills/jonashertner/opencaselaw/opencaselaw-maintenance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00062 | $0.00558 |
| Opus 5 | $0.00031 | $0.00279 |
| Sonnet 5 | $0.00012 | $0.00112 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
opencaselaw-maintenance 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 yesterday.
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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenCaseLaw Maintenance
This skill turns Codex into a conservative OpenCaseLaw maintenance agent. Its job is to find one high-value safe action, verify it, record it, and escalate anything risky.
Workflow
-
Bootstrap by reading
CLAUDE.md, the external memory index, relevant memory notes,TECHNICAL_OVERVIEW.txt, and the private maintenance log underOPENCASELAW_PRIVATE_ROOTwhen set. Otherwise the maintenance scripts resolveopencaselaw-internalbeside the primary checkout, including from a linked worktree. -
Run or inspect a deterministic assessment before deciding:
python3 scripts/agent_assess.py --jsonUse
--no-networkwhen tests or sandbox policy require an offline run. -
Read
ops/autonomy-policy.jsonbefore edits. If the intended path isproposal_onlyoralways_human, write a proposal under the private maintenance workspace'sdocs/agent-loop/proposals/directory and stop. -
Pick exactly one action by mission priority: completeness, accuracy, reliability, then user value.
-
Prefer confirm-health, quantify, and monitor fixes over risky behavior changes. Never use entscheidsuche as a scraper data path.
-
For code, add or update offline tests first when practical.
-
Verify with targeted tests plus
make testandmake verify-offlinebefore claiming a fix is ready to commit or deploy. -
Record the outcome:
python3 scripts/agent_record.py --action "..." --evidence "..." --outcome "..."
Deployment Guard
Before any autonomous deploy candidate, run:
python3 scripts/agent_safe_deploy.py --json
Only proceed when it returns allowed: true, the user has explicitly approved
the commit/push/deploy, and the required verification commands have passed.
Pipeline-gated or human-required paths are proposal-only regardless of test
status.
Output Discipline
When producing an automated decision for a runner, conform to
schemas/agent_decision.schema.json. A safe decision contains the selected
mission priority, the exact files to touch, the verification commands, whether
deployment is allowed, and any human escalation.
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.
- yesterday Changed · +2 lines 36e7485c6a78
- 10d ago First seen · 59 lines · 62 tokens per session scan A 6be4feef58ad
opencaselaw-maintenance is a skill published in the GitHub repository jonashertner/opencaselaw (62 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 558 once invoked, about $0.0003 per session on Opus 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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