review-loop

review-loop is a skill for Claude Code from d-mariano/spicyclaude. It costs 52 tokens per session (1,570 once invoked), scanned A, original, MIT.

A review-loop procedure that alternates between finding problems and fixing them after planning or implementation. It uses a program to decide whether another round is required.

In plain words
What is it for?
Use it to configure review rounds, choose the minimum severity that triggers another pass, and handle outcomes such as completion or exhaustion.
Why use it?
It gives automated review pipelines consistent rules for severity, confidence, round limits, and stopping when progress ends.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the spicy-ship plugin — 4 skills shipped together

Good fit Use it to configure review rounds, choose the minimum severity that triggers another pass, and handle outcomes such as completion or exhaustion.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add d-mariano/spicyclaude
Claude Code
/plugin install spicy-ship

Made for: Claude Code.

Or install spicy-ship, the plugin that ships this one along with the rest of its 4 skills.

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 review-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/d-mariano/spicyclaude/review-loop/github.svg)](https://agentmods.dev/skills/d-mariano/spicyclaude/review-loop)
Your own site
<a href="https://agentmods.dev/skills/d-mariano/spicyclaude/review-loop"><img src="https://agentmods.dev/badge/skills/d-mariano/spicyclaude/review-loop/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 review-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/d-mariano/spicyclaude/review-loop"><img src="https://agentmods.dev/badge/skills/d-mariano/spicyclaude/review-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,570 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 $0.00052 $0.01570
Opus 5.5 $0.00021 $0.00628
Sonnet 5.5 $0.00010 $0.00314
Haiku 4.5 $0.00005 $0.00157

Measured yesterday against content hash 05864123263d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-loop 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 yesterday.

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.

spicy-ship/skills/review-loop/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review loop

One reviewer and one fixer alternate until nothing at or above the severity floor remains, the round budget runs out, or the two stop making progress. The loop decision is never made by a model: review_gate.py computes it from the findings file.

Configuration

Resolve once per run with ${CLAUDE_PLUGIN_ROOT}/scripts/ship_config.py, adding --plugin-config KEY=VALUE for each plugin option that is set and the skill's own flags last, and pass the plan or code section to the gate. The orchestrator skill owns that call; this skill only consumes its output.

Key Default Meaning
max_rounds 3 Reviewer rounds before EXHAUSTED
min_severity High Lowest severity that forces another round
fix_floor Medium Lowest severity the fixer is handed; never causes a re-review on its own

Severity and confidence

Use the shared rubric from spicy-review: Critical, High, Medium, Low, plus a confidence score from 0 to 100. The gate drops anything under 80 before deciding. Reviewers apply the rubric's what-not-to-flag list and are told plainly that a round with no findings is a valid, expected result. A reviewer asked to find problems will find something; the floor is the structural fix for that.

Findings contract

Each round the reviewer writes <phase>-review-r<round>.json in the story's context folder. references/findings.schema.json is the normative schema.

{
  "reviewer": "code-reviewer",
  "target": "plan-012.md or a git range",
  "round": 2,
  "prior_findings": [{"id": "F1", "status": "resolved"}, {"id": "F2", "status": "unresolved"}],
  "findings": [
    {
      "id": "F2",
      "title": "Refresh token stored in plaintext",
      "severity": "High",
      "confidence": 90,
      "location": "src/auth/refresh.py:88",
      "category": "security",
      "problem": "The token is written to the sessions table unhashed, so a DB read leaks live credentials.",
      "fix": "Hash with bcrypt before insert; compare with bcrypt.checkpw on refresh."
    }
  ]
}

Read the full file on GitHub · 127 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday Changed · +5 lines 05864123263d
  2. 2d ago Changed · -5 lines 8e4eecca8fc1
  3. 4d ago First seen · 127 lines · 52 tokens per session scan A bc34786b3e24

Subscribe to this mod's changes

review-loop is a skill published in the GitHub repository d-mariano/spicyclaude (5 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 1,570 once invoked, about $0.0002 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 2026-11-07.

Related

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