Borrowing it
Nothing to install: this file belongs to Cyruskraad/codex-claude-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Cyruskraad/codex-claude-mcp/main/.agents/skills/executing-noodle-plans/SKILL.mdgit clone --depth 1 https://github.com/Cyruskraad/codex-claude-mcpWrote 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.
[](https://agentmods.dev/skills/cyruskraad/codex-claude-mcp/executing-noodle-plans)<a href="https://agentmods.dev/skills/cyruskraad/codex-claude-mcp/executing-noodle-plans"><img src="https://agentmods.dev/badge/skills/cyruskraad/codex-claude-mcp/executing-noodle-plans/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.
<a href="https://agentmods.dev/skills/cyruskraad/codex-claude-mcp/executing-noodle-plans"><img src="https://agentmods.dev/badge/skills/cyruskraad/codex-claude-mcp/executing-noodle-plans.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.00742 |
| Opus 5 | $0.00022 | $0.00371 |
| Sonnet 5 | $0.00009 | $0.00148 |
| Haiku 4.5 | $0.00004 | $0.00074 |
Grade A, and why
executing-noodle-plans 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 8d 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.
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.
Execute a Noodle Seed implementation plan
Execute an approved plan without reopening settled design decisions. Keep implementation, review, and evidence scoped to the current repository and the authority the user granted.
Preconditions
- Read the plan, repository instructions, current branch status, and the files named by the first incomplete task.
- Confirm the plan is decision-complete, test-first, compatible with the current code, and explicit about public contracts and required verification.
- Work in the repository-required isolated branch or worktree and preserve unrelated changes.
- If current code invalidates the plan or two requirements conflict, stop before editing and ask which requirement governs.
Task loop
Execute one task at a time in plan order:
- Restate the task boundary, expected behavior, focused failing test, and files in scope.
- Add or update the focused test first and run it to confirm the expected failure when practical.
- Implement only the behavior required to make that test pass. Do not add compatibility paths, abstractions, or adjacent cleanup the plan did not require.
- Run the focused test, then the package-level checks named by the plan.
- Review the task diff for plan compliance, correctness, security, type safety, and unnecessary surface area.
- Record completion in the plan checkbox when it is writable and in a focused conventional commit.
When the active host provides isolated task workers and user authorization permits delegation, use a fresh implementer for an independent task and a separate reviewer after it. Give each worker only the task requirements, binding global constraints, file paths, and required evidence. Never run workers in parallel when their files or contracts overlap. Execute inline when workers are unavailable, tasks are tightly coupled, or delegation is not authorized.
Review and recovery
- Independent review must compare the task requirements with the exact task diff and test evidence; implementer self-review does not replace it when a reviewer is available.
- Return concrete findings to the implementer, rerun the tests that cover each correction, and review the correction diff again.
- Allow at most three correction rounds for the same finding. Then stop with the unresolved requirement, attempted fixes, and current evidence instead of silently accepting drift.
- On context loss or interruption, resume from the plan checkboxes, git status, and git log; verify the last completed task before starting the first incomplete one.
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.
- 8d ago First seen · 52 lines · 44 tokens per session scan A 81845b2adcd1
executing-noodle-plans is a skill published in the GitHub repository Cyruskraad/codex-claude-mcp (0 stars, last pushed 12d ago), licensed MIT. It adds 44 tokens to every session and 742 once invoked, about $0.0002 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 2026-08-31.
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