adversarial-plan-review

adversarial-plan-review is a skill for Claude Code, Codex from jamesdsizemore/rush-cli. It costs 42 tokens per session (1,196 once invoked), scanned A, original, MIT.

A structured review process for testing whether a written plan is accurate, safe, complete, and practical before implementation. It uses independent reviewers to challenge the plan's claims and then checks the revised plan.

In plain words
What is it for?
Use it to review evidence, causes, proposed fixes, dependencies, tests, release checks, and completion criteria without implementing the plan.
Why use it?
It helps find unsupported assumptions, missing work, unsafe steps, and ordering problems before code or configuration is changed.

Skill for Claude CodeCodex

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

Good fit Use it to review evidence, causes, proposed fixes, dependencies, tests, release checks, and completion criteria without implementing the plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jamesdsizemore/rush-cli/adversarial-plan-review
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 jamesdsizemore/rush-cli --skill adversarial-plan-review
Clone the repo
git clone --depth 1 https://github.com/jamesdsizemore/rush-cli

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-plan-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamesdsizemore/rush-cli/adversarial-plan-review/github.svg)](https://agentmods.dev/skills/jamesdsizemore/rush-cli/adversarial-plan-review)
Your own site
<a href="https://agentmods.dev/skills/jamesdsizemore/rush-cli/adversarial-plan-review"><img src="https://agentmods.dev/badge/skills/jamesdsizemore/rush-cli/adversarial-plan-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.

agentmods 80×15 button for adversarial-plan-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/jamesdsizemore/rush-cli/adversarial-plan-review"><img src="https://agentmods.dev/badge/skills/jamesdsizemore/rush-cli/adversarial-plan-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,196 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 $0.00042 $0.01196
Opus 5 $0.00021 $0.00598
Sonnet 5 $0.00008 $0.00239
Haiku 4.5 $0.00004 $0.00120

Measured 8d ago against content hash e9e3b3db73a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-15, from the pricing page.

Security

Grade A, and why

adversarial-plan-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 8d 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.

skills/adversarial-plan-review/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Adversarial Plan Review

Use this skill to test whether a plan is executable, evidence-backed, safe, and complete. This is not a polite checklist review and not an implementation workflow.

Use it with the orchestrator skill. The parent orchestrator runs as gpt-5.6-sol; review subagents run as gpt-5.6-terra with high reasoning.

Scope boundary

First identify the plan being reviewed and the exact review artifacts the user authorizes. Unless the user explicitly expands scope, reviewers may inspect repository evidence but may edit only:

  • the plan under review; and
  • the dedicated adversarial-review artifact.

Never implement the plan, change production code, add tests, alter dependencies/configuration, or make release/Git-history changes during a plan review.

Sol's protocol

  1. Read the plan completely and turn its material assertions into a claim ledger. Include evidence claims, root causes, impacts, priorities, proposed fixes, dependencies, phase ordering, file references, tests, release gates, and definitions of done.
  2. Freeze the plan during the first attack round.
  3. Dispatch multiple independent Terra attackers. Use all available parallel capacity; if capacity is limited, run additional attack roles in a second wave rather than dropping them.
  4. Require evidence-backed attack packets, cross-examination, and an explicit Sol adjudication for every material finding.
  5. Permit one designated Terra remediator to revise the plan only after adjudication.
  6. Run a second attack round against all revised material.
  7. Independently verify every P0/P1 closure before final handoff.

Sol is a referee, not the plan's advocate. A claim survives only when evidence and an executable remediation path support it.

Terra attack roles

Assign non-overlapping roles as capacity permits:

  • Finding falsifier: attempts to disprove the plan's cited facts, impact, severity, and root-cause claims from source and test evidence.
  • Remediation breaker: finds bypasses, regression paths, and weak tests that let a proposed fix appear complete while the underlying defect remains.
  • Execution saboteur: simulates a literal coding agent executing each phase; identifies missing prerequisites, hidden work, unsafe ordering, ambiguous tasks, and unverifiable exit criteria.
  • Security and trust attacker: attacks secret handling, credentials, plugins, logging, persistence, network permissions, provenance, and trust boundaries.
  • Contract attacker: attacks public APIs, CLI/MCP parity, schemas, transports, result contracts, configuration, and compatibility claims.
  • Release-gate attacker: attempts to make the plan's release gates pass while the claimed defect still exists; attacks test isolation, package installation, dependencies, and definitions of done.

Read the full file on GitHub · 141 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. 8d ago First seen · 141 lines · 42 tokens per session scan A e9e3b3db73a3

Subscribe to this mod's changes

adversarial-plan-review is a skill published in the GitHub repository jamesdsizemore/rush-cli (0 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 1,196 once invoked, about $0.0002 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 2026-09-07.

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