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 jcarlosrodicio/opencode-agent-orchestration-kit --skill oak-runtime-verificationgit clone --depth 1 https://github.com/jcarlosrodicio/opencode-agent-orchestration-kitWrote 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/jcarlosrodicio/opencode-agent-orchestration-kit/oak-runtime-verification)<a href="https://agentmods.dev/skills/jcarlosrodicio/opencode-agent-orchestration-kit/oak-runtime-verification"><img src="https://agentmods.dev/badge/skills/jcarlosrodicio/opencode-agent-orchestration-kit/oak-runtime-verification/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/jcarlosrodicio/opencode-agent-orchestration-kit/oak-runtime-verification"><img src="https://agentmods.dev/badge/skills/jcarlosrodicio/opencode-agent-orchestration-kit/oak-runtime-verification.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 | $0.00065 | $0.00848 |
| Opus 5.5 | $0.00026 | $0.00339 |
| Sonnet 5.5 | $0.00013 | $0.00170 |
| Haiku 4.5 | $0.00006 | $0.00085 |
Grade A, and why
oak-runtime-verification 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 17d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Runtime Verification
Overview
Tests prove that the tests pass. This step proves that the change works in the running system. It runs after validation is green and before the final review, and it exercises the real surface the change touches: the happy path and the failure path.
Decide the surface
Pick exactly one surface per affected area:
| Surface | Use when | What to do |
|---|---|---|
none |
refactor, types, build-only change | Skip, and state why in one line. |
command |
a CLI, script or job | Run it and inspect its effect and logs. |
endpoint |
an HTTP, RPC or message handler | Call it and inspect the response and effect. |
store |
a database, cache, file or queue | Query it before and after. |
screen |
a user interface | Drive the real application. |
Never open a browser or a simulator for a change that has no screen.
Find how the project is exercised
Look in this order and stop at the first answer:
- The project's own mandatory steps, or its
AGENTS.md. - The documents those link to.
- The repository itself: manifest scripts, container files, an end-to-end suite, a seed command.
A project with no way to run the surface is a finding to report. It is not a reason to skip the step.
Exercise it
- Run the happy path, then at least one failure path.
- Check the real effect, not just the exit code: the row written, the message sent, the file created, the log line, the cache entry.
- Write the steps down so someone else can repeat them exactly.
- For a migration, use the real engine and check three things:
- applying it a second time changes nothing;
- it migrates a store that already holds data;
- the engine and its version are named in the report.
Evidence
Collect the cheapest evidence that proves the point:
screen: one still image per state;command: the verbatim output and exit code, as text;endpoint: the request sent, and the status and body received;store: the query, and the rows before and after.
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.
- 17d ago First seen · 104 lines · 65 tokens per session scan A a34459d00bc9
oak-runtime-verification is a skill published in the GitHub repository jcarlosrodicio/opencode-agent-orchestration-kit (133 stars, last pushed 18d ago), licensed Apache-2.0. It adds 65 tokens to every session and 848 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 2026-09-29.
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