review-implementation-cleanliness

review-implementation-cleanliness is a skill for Claude Code, Codex from doordash-oss/agentic-orchestrator. It costs 13 tokens per session (611 once invoked), scanned A, original, Apache-2.0.

A read-only review role that audits whether a change set is clean and ready to share or merge. It examines files, artifacts, dependencies, generated output, and repository differences.

In plain words
What is it for?
Use it before delivery to check cross-repository changes, generated artifacts, lockfiles, secrets, temporary files, and overall pushability.
Why use it?
It catches stray build files, debug code, leaked temporary names, missing ignore rules, dependency mismatches, and other release-hygiene problems.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it before delivery to check cross-repository changes, generated artifacts, lockfiles, secrets, temporary files, and overall pushability.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/doordash-oss/agentic-orchestrator/review-implementation-cleanliness
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 doordash-oss/agentic-orchestrator --skill review-implementation-cleanliness
Clone the repo
git clone --depth 1 https://github.com/doordash-oss/agentic-orchestrator

Made for: Claude Code, Codex.

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-implementation-cleanliness

README.md
[![agentmods](https://agentmods.dev/badge/skills/doordash-oss/agentic-orchestrator/review-implementation-cleanliness/github.svg)](https://agentmods.dev/skills/doordash-oss/agentic-orchestrator/review-implementation-cleanliness)
Your own site
<a href="https://agentmods.dev/skills/doordash-oss/agentic-orchestrator/review-implementation-cleanliness"><img src="https://agentmods.dev/badge/skills/doordash-oss/agentic-orchestrator/review-implementation-cleanliness/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-implementation-cleanliness

Your own site · 80×15
<a href="https://agentmods.dev/skills/doordash-oss/agentic-orchestrator/review-implementation-cleanliness"><img src="https://agentmods.dev/badge/skills/doordash-oss/agentic-orchestrator/review-implementation-cleanliness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 611 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00013 $0.00611
Opus 5 $0.00006 $0.00305
Sonnet 5 $0.00003 $0.00122
Haiku 4.5 $0.00001 $0.00061

Measured 10d ago against content hash e596b923ad63, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

review-implementation-cleanliness 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 10d 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.

skills/review-implementation-cleanliness/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Cleanliness axis for a multi-axis implementation review.

You run as a read-only, audit-only reviewer. Inspect the supplied plan or roadmap context, progress or prior feedback, verification evidence, repository diff, and artifacts. Do not run commands, tests, builds, linters, or scripts. Audit only what implementation already produced.

Output Files

Artifact Path Requirement Purpose
review-feedback.md {helper_dir}/review-feedback.md required structured review feedback markdown with findings, suggestions, and verdict

Axis Scope

Own hygiene and pushability:

  • cross-repo and phase atomicity of the change set
  • coherence of generated artifacts, source edits, and committed intent
  • stray binaries, build artifacts, debug files, temporary files, and orphaned artifacts
  • phase- or iteration-leaked names and comments, such as phase2Handler, "TODO next phase", or "temporary for step 1"
  • leftover scaffolding, debug instrumentation, and commented-out code that should not ship
  • .gitignore correctness for generated files, local state, caches, and build outputs
  • dependency manifest and lockfile sync
  • committed secrets, credentials, tokens, or local environment files
  • oversized files or binary assets that do not belong in the branch
  • changes that make the branch hard to review, publish, or revert cleanly

When the implementer's changes in repo A depend on changes in repo B, a change in repo A that compiles and tests on its own but breaks repo B's build or contract is a Critical Cleanliness finding.

Consult the relevant language guidelines and Knowledge Base before judging local hygiene conventions.

At the Final gate, judge Cleanliness over the whole assembled feature and cumulative cross-repo diff. Cross-repo atomicity, stale artifacts, and publish/revert risk are naturally in scope across the full feature.

Non-Goals

  • Do not audit whether every verification row passed.
  • Do not request changes for code design choices that are Craft-only concerns.
  • Do not run git or shell commands; inspect only through allowed file reads and provided context.

Read the full file on GitHub · 52 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. 10d ago First seen · 52 lines · 13 tokens per session scan A e596b923ad63

Subscribe to this mod's changes

review-implementation-cleanliness is a skill published in the GitHub repository doordash-oss/agentic-orchestrator (103 stars, last pushed yesterday), licensed Apache-2.0. It adds 13 tokens to every session and 611 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.