review-pro-synthesize

review-pro-synthesize is a skill for Claude Code from tufantunc/review-pro. It costs 45 tokens per session (6,130 once invoked), scanned A, original, MIT.

A final review stage that combines findings from several specialist code reviewers into one report. It removes duplicate findings, resolves disagreements, checks evidence, and assigns calibrated severity.

In plain words
What is it for?
Use it after specialist reviews to merge their findings, identify issues reported by multiple reviewers, verify evidence outside changed files, and produce prioritized remediations.
Why use it?
It prevents multiple reviewers from producing a confusing pile of repeated or conflicting comments. It leaves the team with one prioritized verdict and clearer fixes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the review-pro plugin — 15 skills, 16 agents shipped together

Good fit Use it after specialist reviews to merge their findings, identify issues reported by multiple reviewers, verify evidence outside changed files, and produce prioritized remediations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tufantunc/review-pro/review-pro-synthesize
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 tufantunc/review-pro --skill review-pro-synthesize
Clone the repo
git clone --depth 1 https://github.com/tufantunc/review-pro

Made for: Claude Code.

Or install review-pro, the plugin that ships this one along with the rest of its 15 skills, 16 agents.

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-pro-synthesize

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tufantunc/review-pro/review-pro-synthesize"><img src="https://agentmods.dev/badge/skills/tufantunc/review-pro/review-pro-synthesize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,130 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 $0.00045 $0.06130
Opus 5.5 $0.00018 $0.02452
Sonnet 5.5 $0.00009 $0.01226
Haiku 4.5 $0.00005 $0.00613

Measured 26d ago against content hash 7f97a00b153e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-pro-synthesize 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 26d 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.

core/skills/review-pro-synthesize/SKILL.md · 278 lines

How it starts

The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review-Pro Synthesis (Stage 3)

You are the orchestrator's final stage. You receive the structured findings from all dispatched reviewers, plus diff_class, changed_files, spec_source, external_premises, premises_dropped, repository_rules, rules_dropped, stack_signals, and each dispatched reviewer's context.changed_files from triage's dispatch plan, and produce ONE unified review.

Steps

  1. Collect all finding blocks from the dispatched reviewers. Set aside each code reviewer's ## Files examined block for Coverage: it is not a finding, so it is never deduped or ranked.
  2. Dedup by (file, line±5, category-root, overlap_hints): the same issue flagged by multiple reviewers collapses into one. A merge of a finding citing .review-pro/rules.md with one that does not drops the rules citation, so the Medium cap in Resolve conflicts never lowers evidence that stood without the rule.
  3. Weight: annotate a finding flagged by 2 or more reviewers "flagged by N reviewers". It is a note about coverage, not evidence: see ## Verification.
  4. Resolve conflicts by ownership: the domain owner sets severity (see table). A finding citing .review-pro/rules.md is capped at Medium here, before verification selects anything: see ## Repository rules.
  5. Verification results: the orchestrator verifies the merged Medium+ code findings at this point and hands you the results. Apply them as ## Verification says before going on.
  6. Calibrate severity: enforce the anti-overreporting bar. Downgrade anything not fully traced to evidence. Never upgrade beyond what a specialist justified. A verified finding is not recalibrated: see ## Verification.
  7. Out-of-diff evidence check (see below): a review-level confidence signal, not a per-finding gate.
  8. Coverage (see below): which changed files the review read, from the dispatch plan and the reviewers' own declarations. Review-level, never a gate.
  9. Verdict + prioritized findings + remediations.

Read the full file on GitHub · 278 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. 26d ago Changed · +1 lines 7f97a00b153e
  2. 1mo ago Changed · +20 lines abed7fadd755
  3. 1mo ago Changed · +69 lines c56175b663e4
  4. 1mo ago Changed · +47 lines 7379bb0b1f45
  5. 1mo ago First seen · 141 lines · 45 tokens per session scan A e2b57cd9b744

Subscribe to this mod's changes

review-pro-synthesize is a skill published in the GitHub repository tufantunc/review-pro (5 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 6,130 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 2026-08-31.

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