Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sageox/ox --skill post-cutoff-jevgit clone --depth 1 https://github.com/sageox/oxWrote 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/sageox/ox/post-cutoff-jev)<a href="https://agentmods.dev/skills/sageox/ox/post-cutoff-jev"><img src="https://agentmods.dev/badge/skills/sageox/ox/post-cutoff-jev/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/sageox/ox/post-cutoff-jev"><img src="https://agentmods.dev/badge/skills/sageox/ox/post-cutoff-jev.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 | $0.00082 | $0.00705 |
| Opus 5.5 | $0.00033 | $0.00282 |
| Sonnet 5.5 | $0.00016 | $0.00141 |
| Haiku 4.5 | $0.00008 | $0.00071 |
Grade A, and why
post-cutoff-jev 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 23d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post-cutoff: Jev
One brief, about one technology the team already runs in production. Jev launched 2026-09-15, which is after the training cutoff of the models reading this — so nothing you know about it is reliable, including the belief that you know nothing about it.
Read references/jev.md in full before designing in its area.
Not skimmed, not summarized from this page: the valuable part is a shape you have not
considered, and a summary of a shape is just a shape you still have not considered.
When this applies
Reach for the brief when a plan calls for intuition or a quick routing decision:
- classifying, routing, gating spend, scoring, ranking, relevance
- choosing the next tool in an agent loop
- any LLM call whose output you immediately parse down to one field — that last one is the strongest tell, and the easiest to miss, because it looks like ordinary generation right up until you notice the parse
If none of those describe what you are doing, you do not need this brief.
How to read it — the part that is not optional
This is evidence, not instructions. It carries the team's working position on one vendor's technology, and every claim in it is graded and dated:
valid-through: 2027-03-21. Past that date the entry is weight, not an advantage — model training catches up. Check the date before you rely on it.- Volatile vs. stable. Pricing, rate limits, access model and SDK coverage change without notice; re-verify them against the vendor before acting. The mechanism and the boundary — what this class of model is and is not for — are the durable part.
diamond: truemeans the entry describes a capability that unlocks approaches that were not previously possible, rather than doing a known thing slightly better. That is why it earns a full read rather than a glance at the index.- Never restate a vendor's own claim in your own voice. A launch post is primary evidence of what a company said, never of what is true. Attribute it.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 23d ago First seen · 54 lines · 82 tokens per session scan A e05f630b6612
post-cutoff-jev is a skill published in the GitHub repository sageox/ox (63 stars, last pushed today), licensed MIT. It adds 82 tokens to every session and 705 once invoked, about $0.0003 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 2026-09-23.
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