review

A review procedure for a Devora Change, a tracked software or business update, that checks its implementation, risks, evidence, and approval requirements.

In plain words
What is it for?
Reviewing code and change documents, checking technical and business risks, rerunning relevant validations, auditing evidence, and recording findings in a review file.
Why use it?
It gives an independent check that the requested work matches the agreed scope, policies, controls, and project decisions before approval.

Command

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 commands/cheney369/devora/review
Clone the repo
git clone --depth 1 https://github.com/cheney369/Devora
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 478 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 $0.00023 $0.00478
Opus 5 $0.00012 $0.00239
Sonnet 5 $0.00005 $0.00096
Haiku 4.5 $0.00002 $0.00048

Measured 2d ago against content hash fc7bae77a297, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

review 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 2d 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.

templates/commands/review.md · 20 lines

How it starts

The opening of the file, as written. The whole thing — 20 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Devora Review

User input

$ARGUMENTS
  1. Run devora status --json, devora govern status --json, devora govern drift --json, and devora change requirement status --json. Verify that every Governance scope recorded by the active Change is current and complete, captured company policies and exceptions still apply, selected Skills are active, registered sources still match the confirmed baseline, and any limited unknowns remain explicit. Then run devora change setup review --json. Read change.md, optional tasks/evidence/handoff, relevant project context, and the implementation diff or current files.
  2. Review independently. Check requested behavior, scope, regressions, data and permission safety, technical controls, business controls, and consistency with confirmed project decisions.
  3. Rerun the smallest sufficient material validations, run devora change audit --json, and inspect automatic, manual, and external evidence. Confirm security results link to the relevant risk, Control, and checked code scope, and that cross-repository contracts identify producer, consumers, version, and confirmed/implemented status. Record prioritized findings in review.md; use CHANGES_REQUIRED for defects and BLOCKED for a concrete external dependency. A blocked required environment is not release-ready.
  4. When scope, active Skills, and every required validation pass, run devora quality gate --json and inspect both release-readiness exports. Then run devora change complete review --result awaiting_human --json. Run with --result approved only after the user explicitly approves the reviewed scope and revision; the gate remains awaiting_approval until then.
  5. Feed material Review learning back with devora govern feedback, re-govern/revalidate affected scopes or Skills, and resume Review. Record feedback-status addressed only with resolution evidence. Advance cross-repository contracts with contract-status instead of replacing the original contract. After explicit approval, update the outcome and run devora change close --result approved --json. Never infer approval or hide residual risk.

Read the full file on GitHub · 20 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. 2d ago First seen · 20 lines · 23 tokens per session scan A fc7bae77a297

Subscribe to this mod's changes

review is a command published in the GitHub repository cheney369/Devora (255 stars, last pushed 4d ago), licensed Apache-2.0. It adds 23 tokens to every session and 478 once invoked, about $0.0001 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.