quality

A post-work review process, also called a quality gate, that checks completed coding work against its plan, tests, project rules, and scope. It reports problems after implementation stages finish.

In plain words
What is it for?
Use it to review a completed change, run the project's Go checks and tests, inspect the files changed, and assess whether the implementation follows project guidance.
Why use it?
It catches incorrect code, missing verification, unnecessary changes, and violations of project principles before the work is accepted.

Skill for Claude CodeCodex

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 skills/poteto/noodle/quality
Any agent
npx skills add poteto/noodle --skill quality
Clone the repo
git clone --depth 1 https://github.com/poteto/noodle

Made for: Claude Code, Codex.

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 692 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 $0.00053 $0.00692
Opus 5 $0.00026 $0.00346
Sonnet 5 $0.00011 $0.00138
Haiku 4.5 $0.00005 $0.00069

Measured 3d ago against content hash 89af8637035b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

quality 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 3d 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.

.agents/skills/quality/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quality

Review completed cook work. Emit a stage_message event with your assessment. See references/stage-message-schema.md for the event schema.

Operate fully autonomously. Never ask the user.

Step 0 -- Load Principles

Read brain/principles.md and follow every [[wikilink]]. These govern the review. Do NOT skip this.

Assessment Pipeline

Run in order. Stop early and reject on any high-severity finding.

1. Scope Check

  • Read the plan phase the cook was assigned (from the cook's initial prompt or mise context).
  • Run git diff --stat and git log --oneline for the cook's commits.
  • Flag files changed outside the plan phase's stated scope as scope violations.

2. Code Quality

  • go vet ./... and go test ./... must pass.
  • Run sh scripts/lint-arch.sh if it exists.
  • Check error handling follows project conventions (failure-state messages, not expectation messages).

3. Principle Compliance

  • For each changed file, check against loaded principles.
  • Common violations: bolted-on changes instead of redesign (redesign-from-first-principles), missing verification (prove-it-works), unnecessarily added complexity (subtract-before-you-add).

4. Test Evidence

  • New behavior must have new tests.
  • Tests must assert outcomes, not implementation details.
  • Check coverage of edge cases mentioned in the plan phase.

5. Runtime Verification

  • If the plan phase specifies runtime checks, verify they were performed.
  • "It compiles" is not verification.

Verdict

Emit a stage_message event with your assessment:

noodle event emit --session $NOODLE_SESSION_ID stage_message --payload '<json>'

Accept: Emit with blocking: false. The pipeline continues and the scheduler sees the green light.

{ "message": "All checks pass. Tests green, scope clean.", "blocking": false }

Reject: Emit with blocking: true (or omit blocking). The scheduler reads findings and decides (retry, add oops stage, or abort).

Read the full file on GitHub · 79 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 79 lines · 53 tokens per session scan A 89af8637035b

Subscribe to this mod's changes

quality is a skill published in the GitHub repository poteto/noodle (267 stars, last pushed 5mo ago), licensed MIT. It adds 53 tokens to every session and 692 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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