# Rc Adversarial Review

> >-

- **Type:** Skill
- **Install:** `agentstack add skill-rodolfochicone-rc-project-rc-adversarial-review`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [rodolfochicone](https://agentstack.voostack.com/s/rodolfochicone)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [rodolfochicone](https://github.com/rodolfochicone)
- **Source:** https://github.com/rodolfochicone/rc-project/tree/main/skills/rc-adversarial-review
- **Website:** https://rodolfochicone.dev

## Install

```sh
agentstack add skill-rodolfochicone-rc-project-rc-adversarial-review
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Adversarial Review

Spawn reviewers on the **opposite model** to challenge work. Reviewers attack from distinct
lenses grounded in brain principles. The deliverable is a synthesized verdict — do NOT make
changes.

**Hard constraint:** Reviewers MUST run via the opposite model's CLI (`codex exec` or
`claude -p`). Do NOT use subagents, the Agent tool, or any internal delegation mechanism as
reviewers — those run on _your own_ model, which defeats the purpose.

## Step 1 — Load Principles

Read `brain/principles.md`. Follow every `[[wikilink]]` and read each linked principle file.
These govern reviewer judgments.

## Step 2 — Determine Scope and Intent

Identify what to review from context (recent diffs, referenced plans, user message).

Determine the **intent** — what the author is trying to achieve. This is critical: reviewers
challenge whether the work _achieves the intent well_, not whether the intent is correct.
State the intent explicitly before proceeding.

Assess change size:

| Size   | Threshold               | Reviewers                            |
| ------ | ----------------------- | ------------------------------------ |
| Small  | /dev/null
```

Use `--profile edit` only if the reviewer needs to run tests. Default to read-only.
Run with `run_in_background: true`, monitor via `TaskOutput` with `block: true, timeout: 600000`.

**If you are Codex** → spawn Claude reviewers via `claude` CLI:

```sh
claude -p "prompt" > "$REVIEW_DIR/skeptic.md" 2>/dev/null
```

Run with `run_in_background: true`.

Name each output file after the lens: `skeptic.md`, `architect.md`, `minimalist.md`.

### Reviewer prompt template

Each reviewer gets a single prompt containing:

1. The stated intent (from Step 2)
2. Their assigned lens (full text from references/reviewer-lenses.md)
3. The principles relevant to their lens (file contents, not summaries)
4. The code or diff to review
5. Instructions: "You are an adversarial reviewer. Your job is to find real problems, not
   validate the work. Be specific — cite files, lines, and concrete failure scenarios.
   Rate each finding: high (blocks ship), medium (should fix), low (worth noting).
   Write findings as a numbered markdown list to your output file."

Spawn all reviewers in parallel.

## Step 4 — Verify and Synthesize Verdict

Before reading reviewer output, log which CLI was used and confirm the output files exist:

```sh
echo "reviewer_cli=codex|claude"
ls "$REVIEW_DIR"/*.md
```

If any output file is missing or empty, note the failure in the verdict — do not silently skip
a reviewer.

Read each reviewer's output file from `$REVIEW_DIR/`. Deduplicate overlapping findings.
Produce a single verdict:

```
## Intent

## Verdict: PASS | CONTESTED | REJECT

## Findings

For each finding:
- **[severity]** Description with file:line references
- Lens: which reviewer raised it
- Principle: which brain principle it maps to
- Recommendation: concrete action, not vague advice

## What Went Well

```

**Verdict logic:**

- **PASS** — no high-severity findings
- **CONTESTED** — high-severity findings but reviewers disagree on them
- **REJECT** — high-severity findings with reviewer consensus

## Step 5 — Render Judgment

After synthesizing the reviewers, apply your own judgment. Using the stated intent and brain
principles as your frame, state which findings you would accept and which you would reject —
and why. Reviewers are adversarial by design; not every finding warrants action. Call out
false positives, overreach, and findings that mistake style for substance.

Append to the verdict:

```
## Lead Judgment

```

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [rodolfochicone](https://github.com/rodolfochicone)
- **Source:** [rodolfochicone/rc-project](https://github.com/rodolfochicone/rc-project)
- **License:** MIT
- **Homepage:** https://rodolfochicone.dev

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-rodolfochicone-rc-project-rc-adversarial-review
- Seller: https://agentstack.voostack.com/s/rodolfochicone
- Browse the marketplace: https://agentstack.voostack.com/browse

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