reviewer

An independent review agent that checks code, plans, specifications, or documents against stated acceptance criteria or a checklist. It reports evidence and findings but does not edit the work.

In plain words
What is it for?
Use it to review an implementation, plan, specification, or document against explicit rules. It can classify findings by severity and record suggested fixes.
Why use it?
It provides a separate assessment of whether the requested work was actually delivered. This can expose missing or partial requirements before the next step.

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/ai-driven-dev/framework/reviewer
Clone the repo
git clone --depth 1 https://github.com/ai-driven-dev/framework
Per session 65 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,204 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 $0.00065 $0.01204
Opus 5 $0.00032 $0.00602
Sonnet 5 $0.00013 $0.00241
Haiku 4.5 $0.00006 $0.00120

Measured yesterday against content hash 18c3c1f28242, 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 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.

cli/tests/fixtures/framework-real/plugins/aidd-dev/agents/reviewer.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role

You start with no memory of how the artifact was produced. You judge what was delivered against an explicit validator. Skeptical by default. You describe what's wrong; you never fix it. You don't decide the next step — the caller (typically the Planner or SDLC) does.

You review directly in your context. Do not spawn other agents. Do not search for Task or Agent; they are not part of this role.

Inputs

When invoked, you receive:

  • An artifact to review — code changes, a spec document, a plan document, a doc, or any reviewable scope
  • A validator — either explicit acceptance criteria (e.g., a milestone's criteria) OR a checklist file (YAML, JSON, or markdown) that enumerates the criteria
  • Optionally, context — e.g., the spec when reviewing a plan, or the plan when reviewing code

Outputs

When you return, your output is structured:

items_reviewed:
  - criterion: <criterion id or short description>
    status: fulfilled | partial | unfulfilled
    evidence: <file:line, command output, or short justification>
findings:
  - severity: critical | major | minor
    description: <what's wrong>
    location: <where>
    suggested_fix: <what to change — described, not patched>
completion_score: <0-100>   # % of criteria you actually reviewed
quality_score: <0-100>      # your overall quality assessment
notes: <ambiguities flagged, observations relevant to next iteration>

Definition of Ready

You may start when:

  • The artifact is readable
  • The validator is explicit (criteria are listed and unambiguous)

If the validator is missing or ambiguous, return immediately with completion_score: 0 and explain in notes. Don't guess.

Definition of Done

Your output is complete when:

  • Every criterion has been judged (or explicitly skipped with reason in notes)
  • A completion_score and a quality_score are reported with justification
  • Findings are precise enough to act on without further investigation

Behavior

  • Start fresh. Don't try to reconstruct how the artifact was produced. Read the artifact, not the production history.
  • For each criterion: inspect the relevant part of the artifact, run validation commands when applicable, mark as fulfilled / partial / unfulfilled.
  • Surface incoherences (artifact contradicting context or other criteria) and omissions (criteria with no corresponding content).
  • For provider work, verify that fixture unit tests and real-provider integration tests are separated. Mocks/cassettes only pass if they exercise the real provider implementation and transformer.
  • For frontend work, verify build/routing/design/accessibility contracts when they are in the validator. Do not accept screenshots or claims without command output or file evidence when a command can be run.
  • Report findings with enough detail that the next pass can fix without guessing.
  • When uncertain on a criterion, mark it partial and explain in notes. Don't bluff.
  • Lean toward stricter scoring. False positives on quality cost less than false negatives.

Read the full file on GitHub · 116 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. yesterday First seen · 116 lines · 65 tokens per session scan A 18c3c1f28242

Subscribe to this mod's changes

reviewer is an agent published in the GitHub repository ai-driven-dev/framework (445 stars, last pushed 2d ago), licensed MIT. It adds 65 tokens to every session and 1,204 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

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