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.
npx skills add 0xagentkitchen/kitchenloop --skill kitchenloop-executegit clone --depth 1 https://github.com/0xagentkitchen/kitchenloopWrote 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/0xagentkitchen/kitchenloop/kitchenloop-execute)<a href="https://agentmods.dev/skills/0xagentkitchen/kitchenloop/kitchenloop-execute"><img src="https://agentmods.dev/badge/skills/0xagentkitchen/kitchenloop/kitchenloop-execute/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/0xagentkitchen/kitchenloop/kitchenloop-execute"><img src="https://agentmods.dev/badge/skills/0xagentkitchen/kitchenloop/kitchenloop-execute.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 | $0.00000 | $0.01537 |
| Opus 5.5 | $0.00000 | $0.00615 |
| Sonnet 5.5 | $0.00000 | $0.00307 |
| Haiku 4.5 | $0.00000 | $0.00154 |
Grade A, and why
kitchenloop-execute 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 2mo 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KitchenLoop: Execute
Phase 3 -- Query top unblocked tickets, implement them sequentially, ship PRs.
Triggers
kitchenloop executeloop executework on tickets
Overview
The Execute phase takes tickets from the todo queue and turns them into merged code. Each ticket follows a strict workflow: branch, implement, lint, test, commit, PR, transition state. The goal is steady throughput -- 3 to 5 tickets per iteration.
Procedure
Step 0: Pre-Flight
- Load
kitchenloop.yaml-- readpaths,verification,ticketing, andrepo. - Read loop state at
paths.loop_statefor current iteration context. - Check environment variables listed in
verification.preflight_env_vars. If any are missing, STOP and report which are absent.
Step 1: Check PR Backpressure
Before starting new work, check for open PRs from previous iterations:
gh pr list --author "@me" --state open --json number,title,mergeable,reviewDecision,statusCheckRollup
Backpressure rules:
- If there are 5+ open PRs, STOP. Focus on getting existing PRs merged (address review comments, fix failing CI, ping reviewers).
- If there are 3-4 open PRs, limit this iteration to 2 tickets max.
- If there are 0-2 open PRs, proceed normally (3-5 tickets).
Step 2: Recover Stale Tickets
Check for tickets marked as in-progress that have no active branch or PR. These are artifacts of interrupted previous iterations.
For GitHub Issues ticketing:
gh issue list --label "{ticketing.github.state_labels.in_progress}" --json number,title
For each stale ticket:
- If a branch exists with changes, pick up where it left off.
- If no branch exists, transition back to todo state.
Step 3: Select Tickets
- Query the todo queue, ordered by priority:
gh issue list --label "{ticketing.github.state_labels.todo}" --json number,title,labels,body --limit 10 - Filter out tickets that are blocked (check for "blocked" label or dependencies mentioned in the ticket body).
- Select the top 3-5 unblocked tickets (adjusted by backpressure from Step 1).
- Prefer a mix of categories (bugs, features, improvements) over all-of-one-type.
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.
- 2mo ago First seen · 203 lines · 0 tokens per session scan A b6b2d6195607
kitchenloop-execute is a skill published in the GitHub repository 0xagentkitchen/kitchenloop (23 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,537 tokens. 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.
kitchenloop-execute compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| kitchenloop-execute0xagentkitchen/kitchenloop | Skill | 23 | 7mo ago | MIT | A | 0 | Claude Code, Codex |
| merge-batchdiegosouzapw/OmniRoute | Skill | 83k | 5d ago | MIT | A | 46 | Claude Code |
| prowler-commitprowler-cloud/prowler | Skill | 15k | yesterday | Apache-2.0 | A | 44 | Claude Code, Codex |
| gh-auth-isolationgithub/gh-aw | Skill | 5.6k | yesterday | MIT | A | 20 | Claude Code, Codex |
| github-skillzeenie-ai/OpenCompany | Skill | 1.1k | yesterday | MIT | A | 51 | Claude Code |
| comet-githubrpamis/comet | Skill | 3.3k | yesterday | MIT | A | 72 | Claude Code, Codex |
| release-helperSahir619/fable-method | Skill | 2.3k | 1mo ago | MIT | A | 43 | Claude Code |