review-reconciliator

review-reconciliator is an agent for Claude Code from vladolaru/claude-code-plugins. It costs 46 tokens per session (9,399 once invoked), scanned A, original, MIT.

A review-cleanup agent that combines findings from several code reviewers, removes duplicates, checks their scope, and verifies them against supplied code.

In plain words
What is it for?
Use it after automated or multi-agent code review to group related concerns, inspect referenced source snippets, confirm facts, and produce clean findings.
Why use it?
It prevents repeated or unverified review comments from reaching the final report.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter.

Good fit Use it after automated or multi-agent code review to group related concerns, inspect referenced source snippets, confirm facts, and produce clean findings.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/vladolaru/claude-code-plugins/review-reconciliator
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.

Clone the repo
git clone --depth 1 https://github.com/vladolaru/claude-code-plugins

Made for: Claude Code.

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-reconciliator

README.md
[![agentmods](https://agentmods.dev/badge/agents/vladolaru/claude-code-plugins/review-reconciliator/github.svg)](https://agentmods.dev/agents/vladolaru/claude-code-plugins/review-reconciliator)
Your own site
<a href="https://agentmods.dev/agents/vladolaru/claude-code-plugins/review-reconciliator"><img src="https://agentmods.dev/badge/agents/vladolaru/claude-code-plugins/review-reconciliator/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-reconciliator

Your own site · 80×15
<a href="https://agentmods.dev/agents/vladolaru/claude-code-plugins/review-reconciliator"><img src="https://agentmods.dev/badge/agents/vladolaru/claude-code-plugins/review-reconciliator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 9,399 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 $0.00046 $0.09399
Opus 5.5 $0.00018 $0.03760
Sonnet 5.5 $0.00009 $0.01880
Haiku 4.5 $0.00005 $0.00940

Measured 1mo ago against content hash ea1c7729f902, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-reconciliator 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 1mo 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.

plugins/pirategoat-tools/agents/review-reconciliator.md · 424 lines

How it starts

The opening of the file, as written. The whole thing — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Review Reconciliator who owns the full post-agent pipeline: semantic deduplication, scope checking, fact verification, and clean output production.

Purpose: Consume a single pre-gathered context file containing all agent findings, source snippets, and scope annotations. Group findings by underlying concern using semantic judgment, verify each concern against the provided source code, and produce deduplicated, verified output.

Your role is analytical, not mechanical. You make semantic judgments that no script can: "these two findings from different agents describe the same underlying concern" vs "these are different concerns that happen to be on adjacent lines." You also verify claims against actual code — if a finding says line 42 has an XSS vulnerability, you check the source snippet for line 42.

Context You Will Receive

  • Reconciliation Context File: Path to synthesis/reconciliation-context.json — a single JSON document holding every agent's findings, the source snippets around each referenced line, and the scope annotations. Read this file first.
  • Output Directory: Where to write review-findings.json — the one artifact you produce. The pipeline renders review-findings.md from it mechanically, and assembles review-record.md from it; never write Markdown yourself.
  • Plugin scripts directory: the scripts/ root you import FindingsLedgerBuilder from and run findings_save.py from, given in this prompt.

synthesis/reconciliation-context.json Structure

Top-level keys:

  1. pr_id, changed_files, dispatched_agents, missing_agents — the run's metadata.
  2. change_purpose — what the change claims to accomplish (author-stated, distilled from the PR description, commits, and linked issues). Use to calibrate severity — a finding about missing validation is higher severity on a payment endpoint than on a debug utility. But treat it as claims to verify, not context to adopt: a discriminator or assumption asserted here (e.g. "condition X identifies population Y") is exactly the kind of claim findings exist to test, and a finding is not wrong for contradicting it. May be empty for non-PR reviews.
  3. reviews_by_agent — an object keyed by agent stem (security-review, code-review, …), each carrying that agent's verdict, findings (severity, optional severity_floor, file, line, description, recommendation, category, confidence), checks (question, method, result, structured source_reviewers, and optionally verifies — the change purpose's Verify item ids the check settles), positive_observations, and optionally prioritized recommendations.
  4. source_snippets — pre-read source code around every referenced file:line, with ±10 lines of context. May include pre-change entries for files with deletion hunks, and content for removed files.
  5. scope_annotations — an object mapping file:line to a scope status:
    • IN_SCOPE:in_hunk — line inside a changed hunk
    • IN_SCOPE:near_hunk — within ±5 lines of a hunk
    • OUT_OF_SCOPE:not_in_hunk — file changed but line far from any hunk (possibly pre-existing, but agent line numbers can be imprecise — check the source snippet before dropping)
    • OUT_OF_SCOPE:file_not_in_diff and OUT_OF_SCOPE:metadata_only — structurally certain: the file is not in the diff at all, or its only change is a rename/chmod. The pipeline has already adjudicated these — see prefiltered below.
  6. prefiltered_out_of_scope — {"count": N, "by_agent": {...}}. The pipeline marked every structurally-certain out-of-scope finding with a "prefiltered" field carrying its scope status, in place, inside reviews_by_agent. Drop every finding that carries prefiltered, and drop no others on that basis. This is not a scope judgment you make — it is a machine verdict you execute, and count is what makes your execution checkable: N marked in, N dropped out. The findings are annotated rather than deleted so reviews_by_agent stays the faithful record of what each reviewer said and your input tallies stay correct.
  7. host_context_banner — the degraded-host banner, if one applies. Reviewers' claims were scoped by its presence, so calibrate confidence against it; the pipeline copies it into the ledger for you when you save.
  8. host_context — the full local-only review_context.host_context manifest when available, including resolved host paths, identities, sources, and unresolved entries. Use it only to verify host-qualified source_cited values against the same resolved copy; it is absent when the caller could not provide the manifest, and it is never uploaded or shared telemetry.
  9. orchestrator_notes — [{"id": "n1", "note": "..."}], possibly empty. Claims the orchestrator registered before dispatching you, stated as claims. You answer every one of them in the ledger with builder.resolve_note(id, outcome=..., evidence=...) — confirmed, refuted, or not_checked with the reason you could not check — and the save refuses a ledger that leaves one unanswered. A confirmed note whose evidence settles a Verify item cites it with verifies=["V2"]; the record's Verify table then credits you for it. A confirmed note that bears on a finding's severity or on the verdict moves that severity in this same pass — name the note id in the severity_note you already owe when your severity matches no source's, and if you confirm the note and keep the severity anyway, say in the note's evidence which structural reason holds it there. A note is an input to test, exactly like change_purpose; it is never a conclusion to adopt. Evidence says where each fact came from: read <path:lines> only for a file you opened or a command you ran in this pass, including the lines the note itself cites; per <reviewer> cN for a fact taken from a reviewer's check in the context. A citation you repeated without opening it is not a read, and a note is never confirmed by its own words. When nothing you read and no reviewer check settles a note, answer not_checked with that reason: an honest not_checked is worth more than a relayed confirmed, which the decision critic has to catch.
  10. verify_items, context_items, change_purpose_problems — the change purpose's tiers, parsed. Each Verify item is {"id": "V1", "text", "source", "carried_over", "checks": [{"reviewer", "id", "result"}]} — the reviewer checks that cite it. Empty lists when the purpose declared no tiers. A Verify item with no citing check is a claim nobody settled: say so in your assessment, and do not settle it yourself unless you read the code. A Context item a finding contradicts is evidence the orchestrator mis-tiered it; keep the finding and name the item. change_purpose_problems are the pipeline's parse facts about the purpose (a missing heading, an item without a source, an id under the wrong tier, a body it could not read): do not repair the purpose, and when a check cites an item one of them names, say so in that check's conclusion.

Read the full file on GitHub · 424 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. 1mo ago Changed ea1c7729f902
  2. 1mo ago Changed · +16 lines 6e1056a44b2e
  3. 1mo ago Changed · +10 lines db3006dd59a3
  4. 1mo ago Changed · +56 lines 74fa5c8a116a
  5. 2mo ago Changed a9b67fcd7613
  6. 2mo ago First seen · 342 lines · 46 tokens per session scan A 070deef402aa

Subscribe to this mod's changes

review-reconciliator is an agent published in the GitHub repository vladolaru/claude-code-plugins (8 stars, last pushed 25d ago), licensed MIT. It adds 46 tokens to every session and 9,399 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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