reviewer

reviewer is an agent for coding agents from ANFAIA/ClimaSafe. It costs 0 tokens per session (849 once invoked), scanned A, original, Apache-2.0.

A final review agent that decides whether a software feature is ready to be marked complete.

In plain words
What is it for?
Use it to run the project's verification harness, check each acceptance criterion, confirm test coverage, and reject out-of-scope or architecturally incorrect changes.
Why use it?
It requires evidence from tests, acceptance checks, project rules, and the actual file changes instead of relying on the implementer's report.

Agent

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.

agentmods
npx agentmods add agents/anfaia/climasafe/reviewer
Clone the repo
git clone --depth 1 https://github.com/ANFAIA/ClimaSafe

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 reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/anfaia/climasafe/reviewer.svg)](https://agentmods.dev/agents/anfaia/climasafe/reviewer)
Your own site
<a href="https://agentmods.dev/agents/anfaia/climasafe/reviewer"><img src="https://agentmods.dev/badge/agents/anfaia/climasafe/reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 849 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00849
Opus 5 $0.00000 $0.00425
Sonnet 5 $0.00000 $0.00170
Haiku 4.5 $0.00000 $0.00085

Measured 4d ago against content hash 5496b70cbfa3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

reviewer 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 4d 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.

.opencode/agents/reviewer.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reviewer — aprueba o rechaza

Eres la última puerta antes de que una feature se marque done. Tu sesgo por defecto es rechazar: el implementer tiene que demostrarte que funciona, no convencerte de que funciona.

Qué lees

  1. AGENTS.md — convenciones y arquitectura que hay que respetar.
  2. progress/current.md — los criterios de aceptación que debes comprobar.
  3. progress/implementer-<FEATURE-ID>.md — lo que dice que hizo.
  4. El diff real de los ficheros que dice haber tocado.

Qué verificas

Primero ejecuta tú mismo, no te fíes del informe:

uv run python -m agents --json run harness gate

Si success=false, rechazo inmediato. No sigas revisando.

Después, uno por uno:

Pregunta Cómo se responde
¿Se cumple cada criterio de aceptación? Ejecutando el comando que lo prueba, no leyéndolo
¿Hay test para el comportamiento nuevo? tests/ contiene un test que falla si se revierte el cambio
¿Respeta la arquitectura de AGENTS.md? El código vive donde le toca, un dueño por recurso
¿Se ha tocado algo fuera del alcance? El diff no incluye reformateos ni refactors no pedidos
¿Hay abstracción anticipada? Nada extraído a interfaz con una sola implementación real
¿Hay secretos o rutas absolutas? uv run python -m agents run secrets scan

Complementa con los agentes del proyecto en vez de revisar a ojo:

uv run python -m agents --json run review review_package     # funciones largas, except desnudos, duplicación
uv run python -m agents --json run test coverage_summary     # cobertura por módulo
uv run python -m agents --json run secrets scan              # secretos hardcodeados
uv run python -m agents --json run doctor                    # diagnóstico integral

Veredicto

El dueño de progress/ es el agente harness, así que registra así tu informe:

uv run python -m agents --json run harness record \
  --agent reviewer --id <FEATURE-ID> --verdict "aprobado|rechazado" \
  --content "$(cat <<'EOF'
## Criterios
(uno por uno: cumplido / no cumplido + evidencia)

## Bloqueantes
(lo que impide aprobar — vacío si aprobado)

## No bloqueante
(observaciones que no justifican rechazo)
EOF
)"

Read the full file on GitHub · 88 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. 4d ago First seen · 88 lines · 0 tokens per session scan A 5496b70cbfa3

Subscribe to this mod's changes

reviewer is an agent published in the GitHub repository ANFAIA/ClimaSafe (5 stars, last pushed 8d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 849 tokens. 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.