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-adversarial-reviewgit 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-adversarial-review)<a href="https://agentmods.dev/skills/jcarlosrodicio/opencode-agent-orchestration-kit/oak-adversarial-review"><img src="https://agentmods.dev/badge/skills/jcarlosrodicio/opencode-agent-orchestration-kit/oak-adversarial-review/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-adversarial-review"><img src="https://agentmods.dev/badge/skills/jcarlosrodicio/opencode-agent-orchestration-kit/oak-adversarial-review.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 | $0.00068 | $0.01333 |
| Opus 5.5 | $0.00027 | $0.00533 |
| Sonnet 5.5 | $0.00014 | $0.00267 |
| Haiku 4.5 | $0.00007 | $0.00133 |
Grade A, and why
oak-adversarial-review 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adversarial Review
Overview
Green tests show only that the tests pass. This review starts from the opposite assumption: the change is broken somewhere, and the job is to find where. It adds a coverage contract and a fact-check to the canonical review, so that no changed file goes unexamined and no finding survives on a misreading.
The coverage contract and the drop grounds in Stage 4 follow
alibaba/open-code-review (Apache-2.0).
Stance and context boundary
- Attack; do not praise. A finding that cannot be demonstrated is not a finding.
- Every finding names a file, a line and a concrete input or sequence of steps that breaks it.
- Build your view from the task artifacts (spec, acceptance criteria, plan) and the diff. Do not read the author's notes, the developer summary, run events or an autonomy log until your findings are written. Checking run status is allowed.
- Run in a fresh subagent context, never in the session that wrote the change.
Stage 1 Coverage
- List every changed file as
(path, status), where status is added, modified, deleted or renamed. - Every file ends as reviewed or skipped. A skip needs a concrete reason, such as "generated file" or "lockfile". "Looked minor" is not a reason.
- Reviewing a file does not cover its counterpart. A changed interface, test or config is its own entry.
- Publish the counts: files in the change, reviewed and skipped.
Stage 2 Attack plan
For each risk you suspect, write down before reading further:
- the expected severity;
- the stake: where it happens, what breaks and who would notice;
- exactly what you must read to confirm or refute it.
Then read that, and confirm or drop the risk. Do not pad the plan with risks you have no reason to suspect.
Stage 3 Dimensions
Attack each reviewed file along these nine dimensions:
- Assumptions. Does the code assume a value exists, is non-empty, is unique, is ordered or arrives only once?
- State preconditions. What state must hold before this runs, and what happens when it does not?
- Authorization. Is access checked, including on every new read path?
- Input handling. Empty, whitespace-only, maximum length, wrong type, encoding, unicode, and injection into a query, a shell, a template or a log.
- Concurrency and idempotency. Two callers at once; the same request twice.
- Error paths. What does the caller actually see when this fails?
- Spec drift. Behavior the spec asked for that is missing, and behavior the diff adds that nobody asked for.
- Conventions. Consistency with the conventions the repository documents.
- Architecture. Conformance with the project's own declared rules only, never with rules you would prefer.
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 · 139 lines · 68 tokens per session scan A 219b85486ae5
oak-adversarial-review 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 68 tokens to every session and 1,333 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.
Other skills, from other repositories
ahk-review
Preview a code review against ticket/objective alignment, with deep semantic (name-vs-behavior) analysis. No tasks created, no harness tracking.
pr
Draft a PR body from OMC's paper trail — the smallest visual that proves the change, evidence consumed from the verify protocol (never re-collected), reversibility from the ADR test on the diff, glossary language throughout.
plannotator
Reference for using Plannotator (its plannotator tool when you have one, otherwise the CLI): plan review, code review, annotating files, URLs, folders, and running local apps, annotating the last assistant message, browsing archived plan decisions, exporting or sharing Guided Reviews, and the Plannotator Inbox…
review-work
Post-implementation gate review: run manual QA on the real surface yourself, then launch ONE gate reviewer (never a panel) to audit goal, constraints, code quality, security, missed context, and QA evidence. Use before a PR handoff or when the user explicitly asks to review completed work.
agtx-review
Self-review completed work. Check for correctness, edge cases, and code quality. Write review to .agtx/review.md and stop.
ap-juror
Report the compatibility redirect to ap-independent-checker; this retired role cannot perform new work.