Squid Review Ci

Community

iusztinpaul

squid-review-ci

Drive CI green on a pushed, review-clean feature PR — On-Call diagnoses failures and hands fix tasks to the SWE. Output: a CI-validated feature PR. Trigger after /squid-review passes.

Overview

Publisher	iusztinpaul
Repository	`squid`
Skill name	`squid-review-ci`
Stars	207
Forks	34
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by iusztinpaul on GitHub. Read the source before you install it.

Installation

Install the Squid Review Ci AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/iusztinpaul/squid/tree/main/skills/squid-review-ci
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/iusztinpaul/squid.git /tmp/squid
mkdir -p .claude/skills
cp -r /tmp/squid/skills/squid-review-ci .claude/skills/squid-review-ci

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Squid Review Ci in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Squid Review Ci on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Squid Review Ci is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Review CI — validate the pushed PR's pipeline

Watch CI for the pushed feature PR and drive it to green. On failure, the On-Call engineer diagnoses and hands a fix task to the SWE (it does not fix the code itself); once CI is green, the PR is ready to merge.

You are the orchestrator — a MANAGER. You launch On-Call and the SWE, enforce the cap, and confirm green. You do NOT read the diff for review (that was /squid-review).

Read AGENTS.md first.

Input: a pushed, review-clean feature PR. Output: a CI-validated "ready to merge" PR (or USER ACTION REQUIRED if CI can't be made green within the cap).

The On-Call → SWE → re-check loop

Watch CI (On-Call)


Agent(
  subagent_type="squid:oncall-engineer",
  prompt="""Watch CI for the latest push on feat/{slug} (PR #{N}). {Working directory: {path}.} Read AGENTS.md first. Follow your role definition. CI/CD only — do not review the diff. Report green, or hand back a concrete FIX TASK (root cause + the exact failing command + affected files)."""
)

Green → done. The PR is validated and ready to merge.
Red (infra / flake) → On-Call files a NEW infra task and reports it; surface to the human — it does not count against the cap.
Red (real failure) → On-Call hands back a fix task → go to "SWE fixes".

SWE fixes


Agent(
  subagent_type="squid:software-engineer",
  prompt="""CI failed on PR #{N}. {Working directory: {path}.} Fix task from On-Call: {root cause + failing command + files}. Reproduce locally with the same command CI ran, fix the root cause (not the symptom; fix the bug, not the test), re-run the local suite, commit per your Commit section (`Refs #N` — the original task is already closed), and push."""
)

Then re-run Watch CI (On-Call) to confirm the new run goes green.

Cap: 5 fix cycles per PR

If CI is still red after 5 On-Call→SWE→re-check cycles, stop, surface USER ACTION REQUIRED with the last failing log, and end.

Output

A CI-validated, ready-to-merge feature PR. Hand back to /squid-implement-night, or — if run standalone — report that CI is green and the PR is ready.

Frequently asked questions

What does the Squid Review Ci AI skill do?

Drive CI green on a pushed, review-clean feature PR — On-Call diagnoses failures and hands fix tasks to the SWE. Output: a CI-validated feature PR. Trigger after /squid-review passes.

Why use Squid Review Ci on TypingMind?

Because you install it once and use it with any model. Squid Review Ci is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Squid Review Ci in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/iusztinpaul/squid/tree/main/skills/squid-review-ci. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Squid Review Ci?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Squid Review Ci?

As many as you like. As long as a model supports skills, you can use Squid Review Ci with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Squid Review Ci AI skill free?

Yes. It is published on GitHub by iusztinpaul under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Openclaw Test Performance

openclaw

OrganizationPopular

Benchmark, diagnose, and optimize OpenClaw test and plugin-suite runtime, import hotspots, CPU/RSS, heap growth, and slow coverage paths.

Openclaw Testing

Choose proportional OpenClaw tests and checks, diagnose failures, and route environment-sensitive or release proof to its owner.

Release Openclaw Ci

Run, watch, debug, and summarize OpenClaw full release CI, release checks, live provider gates, install/update proofs, and release-secret preflights.

Release Openclaw Mac

Run or recover OpenClaw macOS release signing, notarization, appcast, and asset promotion.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Review CI — validate the pushed PR's pipeline

The On-Call → SWE → re-check loop

Watch CI (On-Call)

SWE fixes

Cap: 5 fix cycles per PR

Output

Frequently asked questions

Related AI Skills

Set up your own AI workspace now