squid-review-ci

squid-review-ci is a skill for Claude Code from iusztinpaul/squid. It costs 47 tokens per session (633 once invoked), scanned A, original, Apache-2.0.

A workflow for watching automated checks on a pushed feature pull request and coordinating fixes until the checks pass. A pull request is a proposed code change waiting for review and merging.

In plain words
What is it for?
Use it after code review to monitor the pipeline, identify the failing command and related task, send a fix request to the developer agent, and confirm the pull request is ready to merge.
Why use it?
It removes the need to repeatedly inspect failed CI jobs and decide who should investigate or apply each fix.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions AGENTS.md.

Part of the squid plugin — 15 skills, 5 agents shipped together

Good fit Use it after code review to monitor the pipeline, identify the failing command and related task, send a fix request to the developer agent, and confirm the pull request is ready to merge.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iusztinpaul/squid/squid-review-ci
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 iusztinpaul/squid --skill squid-review-ci
Clone the repo
git clone --depth 1 https://github.com/iusztinpaul/squid

Made for: Claude Code.

Or install squid, the plugin that ships this one along with the rest of its 15 skills, 5 agents.

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 squid-review-ci

README.md
[![agentmods](https://agentmods.dev/badge/skills/iusztinpaul/squid/squid-review-ci/github.svg)](https://agentmods.dev/skills/iusztinpaul/squid/squid-review-ci)
Your own site
<a href="https://agentmods.dev/skills/iusztinpaul/squid/squid-review-ci"><img src="https://agentmods.dev/badge/skills/iusztinpaul/squid/squid-review-ci/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 squid-review-ci

Your own site · 80×15
<a href="https://agentmods.dev/skills/iusztinpaul/squid/squid-review-ci"><img src="https://agentmods.dev/badge/skills/iusztinpaul/squid/squid-review-ci.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 633 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 $0.00047 $0.00633
Opus 5 $0.00023 $0.00316
Sonnet 5 $0.00009 $0.00127
Haiku 4.5 $0.00005 $0.00063

Measured 7d ago against content hash 53848ae020f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

squid-review-ci 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 7d 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/squid-review-ci/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read the full file on GitHub · 57 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. 7d ago Changed · -10 lines · -11 tokens per session 53848ae020f1
  2. 12d ago First seen · 67 lines · 58 tokens per session scan A d8c092f0255d

Subscribe to this mod's changes

squid-review-ci is a skill published in the GitHub repository iusztinpaul/squid (190 stars, last pushed 8d ago), licensed Apache-2.0. It adds 47 tokens to every session and 633 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 2026-08-30.

Related

Other skills, from other repositories

gh-fix-ci

Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use gh to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.

foryourhealth111-pixel/Vibe-Skills · 72 tokens

git-ci

CI/CD status queries for GitHub Actions (gh) and GitLab CI (glab). Check pipeline status, failing jobs, workflow runs, job logs, and merge readiness. Use when checking CI status, debugging build failures, viewing job logs, watching pipeline progress, or configuring gh/glab CI read-only allowlists. Not for PR workflows…

dmythro/agent-skills · 88 tokens

ci-fix

Diagnose and fix a failing CI / GitHub Actions run. Use when a pipeline or build breaks. Triggers on: ci quebrou, ci falhou, conserta o ci, arruma o ci, build quebrou, o actions ta vermelho, pipeline failing, workflow failed, fix ci.

parisgroup-ai/imersao-ia-setup · 68 tokens

troubleshooting-whats-not-working

Use when something is broken, failing, or not behaving as expected (any domain - software, gadget, process, plan).

redhuntlabs/wizard · 33 tokens

repo-hygiene

Periodic repository health check — dependencies, git, CI/CD, code quality, docs, security. Use when: onboarding to a repo, weekly maintenance, after big refactors, before audits, "is this repo in good shape?". Triggers: "repo hygiene", "health check", "repo health", "clean up repo", "maintenance check", "audit repo"…

marcfargas/skills · 83 tokens

gradle-build-performance

Debug and optimize Android/Gradle build performance. Use when builds are slow, investigating CI/CD performance, analyzing build scans, or identifying compilation bottlenecks.

ShinKev/kmp-skill-library · 37 tokens