adversarial-verification

adversarial-verification is a skill for Claude Code, Codex from SunrisesIllNeverSee/agent-universe. It costs 78 tokens per session (990 once invoked), scanned A, original, MIT.

A verification process in which one agent builds a change, another independently looks for counterexamples, and a re-verifier checks the corrections.

In plain words
What is it for?
Checking integrations, migrations, imports, authentication, projections, and boundaries between multiple parties or systems.
Why use it?
It reduces the risk of accepting an integration or migration based only on the original builder’s tests.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Checking integrations, migrations, imports, authentication, projections, and boundaries between multiple parties or systems.

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Install with agentmods
npx agentmods add skills/sunrisesillneversee/agent-universe/adversarial-verification
Install

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.

Any agent
npx skills add SunrisesIllNeverSee/agent-universe --skill adversarial-verification
Clone the repo
git clone --depth 1 https://github.com/SunrisesIllNeverSee/agent-universe

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for adversarial-verification

README.md
[![agentmods](https://agentmods.dev/badge/skills/sunrisesillneversee/agent-universe/adversarial-verification/github.svg)](https://agentmods.dev/skills/sunrisesillneversee/agent-universe/adversarial-verification)
Your own site
<a href="https://agentmods.dev/skills/sunrisesillneversee/agent-universe/adversarial-verification"><img src="https://agentmods.dev/badge/skills/sunrisesillneversee/agent-universe/adversarial-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.

agentmods 80×15 button for adversarial-verification

Your own site · 80×15
<a href="https://agentmods.dev/skills/sunrisesillneversee/agent-universe/adversarial-verification"><img src="https://agentmods.dev/badge/skills/sunrisesillneversee/agent-universe/adversarial-verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 990 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00078 $0.00990
Opus 5.5 $0.00031 $0.00396
Sonnet 5.5 $0.00016 $0.00198
Haiku 4.5 $0.00008 $0.00099

Measured 6d ago against content hash 1eaa5e4b944a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

adversarial-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 6d 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.

.devin/skills/adversarial-verification/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Adversarial Verification Loop

When an integration lane claims done, it is not done. The gate:

BUILDER → tests → INDEPENDENT FALSIFIER → bounded corrections → RE-VERIFIER → PASS

No lane completes on its own harness alone. Every harness must demonstrate it can go red (a deliberate guard-disable/mutation check that fails as expected).

The falsifier is a different agent

Same code review is not falsification. The falsifier:

  • Reads the builder's code + claim, then invents new counterexamples — never merely re-runs the builder's harness.
  • Writes findings to a ledger (reviews/<lane>-Findings.csv + reviews/<lane>-Independent-Review.md), not inline patches.
  • Returns one of exactly three verdicts: PASS / CONDITIONAL — bounded corrections / FAIL.
  • The builder then applies only the accepted findings, adds reproducers + regression checks, and a re-verifier (preferably same subagent resumed, or a fresh one) signs off.

Attack taxonomy — where every real defect lives

All 29 defects found in AQUA M03 were transition-point failures. Always probe:

  • Schema-shape mismatch — reader assumes a key the writer never produces (rec['data'] vs actual rec['row'] → every payload silently empty).
  • Stored-trust vs recomputation — comparing stored fingerprint columns instead of recomputing sha256(content).
  • Forged caller — hand-built input carrying a real ID + wrong revision/fingerprint/record-set.
  • First-writer-wins poisoning — a squatter commits under the replay key first, blocking the legitimate caller.
  • Replay semantics — identical replay must return stored result; changed replay must reject; concurrent identical must converge.
  • Cross-role / cross-scope collisions — global PK on legacy_id lets a foreign scope squat or collide; scope-key every derived ID.
  • Authority confusion — a site/adapter receipt must never masquerade as canonical truth; check that projection output cannot write back.
  • Caller-asserted identity — never trust site_user_id, applicant_id, scope from the caller; resolve server-side through a membership/identity table the caller cannot write.
  • Fabricated provenance — don't invent IDs/text for unresolved references; emit explicit UNRESOLVED/NULL sentinels.
  • Silent approval/reward — confidence/locked/certify metadata must never auto-produce canon decisions or reward writes; approval needs real human evidence.
  • Mutable lineage — append-only triggers on pair/evidence tables; UPDATE/DELETE must fail.
  • Vacuous assertions — a "negative test" that never calls the thing it claims to reject; every denial check must name the expected rejection.

Read the full file on GitHub · 95 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. 6d ago First seen · 95 lines · 78 tokens per session scan A 1eaa5e4b944a

Subscribe to this mod's changes

adversarial-verification is a skill published in the GitHub repository SunrisesIllNeverSee/agent-universe (1 stars, last pushed today), licensed MIT. It adds 78 tokens to every session and 990 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 2026-10-11.

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