happier: Skill for Codex

.agents/skills/happier-ci-stabilize/SKILL.md

happier-ci-stabilize is a skill for Codex from happier-dev/happier. It costs 62 tokens per session (1,258 once invoked), scanned A, original, MIT.

A procedure for investigating and stabilizing failing, flaky, slow, or repeatedly rerun continuous-integration checks. Continuous integration is the automated process that builds and tests code after changes.

In plain words
What is it for?
Use it to collect failures from one exact CI run, clean up low-value tests or checks, choose safe reruns, and recover interrupted nightly work.
Why use it?
It groups related failures and limits unnecessary reruns so the underlying problems can be corrected efficiently.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is happier-dev/happier's own configuration. It tells Codex how to work on happier itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything happier configures →

About the project

Happier is an open-source, end-to-end encrypted client that lets people run AI coding-agent sessions on a computer and continue controlling them from a phone, browser, or desktop app. It is for developers who use agents such as Claude Code, Codex, Gemini, or OpenCode across multiple devices, with self-hosting available. The catalogue entries are add-ons for configuring or extending this client and its supported coding-agent workflows.

happier-dev/happier · 1,624 stars · on GitHub · happier.dev

Reuse

Borrowing it

Nothing to install: this file belongs to happier-dev/happier. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/happier-dev/happier/dev/.agents/skills/happier-ci-stabilize/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/happier-dev/happier

Made for: Codex.

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 happier-ci-stabilize

README.md
[![agentmods](https://agentmods.dev/badge/skills/happier-dev/happier/happier-ci-stabilize.svg)](https://agentmods.dev/skills/happier-dev/happier/happier-ci-stabilize)
Your own site
<a href="https://agentmods.dev/skills/happier-dev/happier/happier-ci-stabilize"><img src="https://agentmods.dev/badge/skills/happier-dev/happier/happier-ci-stabilize.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,258 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.
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 $0.00062 $0.01258
Opus 5 $0.00031 $0.00629
Sonnet 5 $0.00012 $0.00252
Haiku 4.5 $0.00006 $0.00126

Measured 2d ago against content hash 7d25d2afd01f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

happier-ci-stabilize 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/collect-actions-failures.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/happier-ci-stabilize/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Happier CI Stabilization

Drive a failing CI or release run to an evidence-backed terminal result with the fewest expensive reruns. This skill owns failure collection, failure clustering, stabilization sequencing, CI cleanup decisions, monitoring, and recovery selection. It does not grant release authority or replace the test-quality rules in .agents/skills/happier-testing.

Use the existing owners

  • Read and apply .agents/skills/happier-testing/SKILL.md before changing tests, fixtures, mocks, testkits, timeouts, or lane selection.
  • Use .agents/skills/happier-implement/SKILL.md for repository corrections and its RED -> GREEN requirement for behavior changes.
  • Resolve privileged publication through .agents/skills/happier-release/SKILL.md; this skill never invents release authority.
  • After a coherent validated 0.2 correction, use .agents/skills/happier-port-0-2-to-0-3/SKILL.md once for an evidence-backed 0.3 disposition.

Read failure-collection.md for a failing run, ci-cleanup.md before simplifying CI/tests, and nightly-recovery.md before rerunning or resuming a release.

One stabilization loop

  1. Bind the attempt. Record repository, workflow, run ID, attempt, event, head SHA, branch, and status. Never diagnose “latest” after a branch moves.
  2. Collect once. Let independent safe jobs reach terminal state. Then run scripts/collect-actions-failures.mjs; retain complete failed-job logs under /tmp and use its compact summary. Stop early only for an unsafe mutation, conflicting publisher, or proven wedge blocking a corrected run.
  3. Cluster causes. Collapse aggregators and repeated symptoms into the earliest causal signature and canonical owner. Classify each cluster as product, test, harness/mock, release control/configuration, external contract, infrastructure/resource, or inconclusive. A timeout is only a symptom.
  4. Correct one batch. Reproduce every deterministic cluster that can be exercised locally. For each behavior change, prove the smallest meaningful RED, fix the canonical owner, and remove or update only coverage invalidated by that cause. Run all focused fixes together, then each affected lane.
  5. Run canonical CI once. Use the exact coherent SHA. The manual Blacksmith runner-pool input may accelerate approved non-secret Linux lanes; it selects a backend for the same reusable workflow and must not create a copied CI graph.
  6. Recover the cheapest safe way. Choose a native failed-job rerun, immutable-candidate resume, or fresh release using nightly-recovery.md. Preserve successful sibling candidates when their source and packaging identity remain valid.
  7. Use one foreground monitor. Keep exactly one poller bound to the run and attempt. Poll long setup, suites, builds, signing, notarization, store submission, and publication every 5-20 minutes. Long duration alone is not failure evidence.
  8. Close from terminal evidence. Require canonical CI success for the exact SHA. For a nightly, also inspect the terminal status artifact, immutable identities, required validation, promoted-reference verification, and requested side lanes. A green top-level badge alone is insufficient.

Read the full file on GitHub · 67 lines

Files

What ships with it

5 files 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. 2d ago Changed 7d25d2afd01f
  2. 3d ago First seen · 67 lines · 62 tokens per session scan A 421c1e0cdcce

Subscribe to this mod's changes

happier-ci-stabilize is a skill published in the GitHub repository happier-dev/happier (1,624 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 1,258 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 2026-09-03.

Related

Other skills, from other repositories

determinism-audit

Audits nondeterministic game behavior and flaky execution. Use when the same initial state and inputs produce different outcomes, a test fails intermittently or only under load, behavior differs by frame rate or machine, a replay diverges, or lockstep peers desynchronize. Establishes the required determinism boundary…

NEXPACE-Limited/msu-skills · 107 tokens

cross-device-check

Audits a game's UI and interaction across supported viewports, aspect ratios, pixel densities, orientations, and input capabilities. Use when mobile, tablet, desktop, controller, keyboard, pointer, or touch support is being checked; UI clips, overlaps, blurs, or overflows; controls are unreachable or hard to use…

NEXPACE-Limited/msu-skills · 118 tokens

circleci

CircleCI cloud CI/CD platform. Use for continuous integration.

G1Joshi/Agent-Skills · 15 tokens

Verification & Quality Assurance

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

ruvnet/ruflo · 36 tokens

google-agents-cli-scaffold

This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the agents-cli skills suite. Covers agents-cli scaffold create, scaffold enhance, and…

google/agents-cli · 135 tokens

ci

Configure Ginkgo for continuous integration — the recommended CLI flag set and the rationale for each flag (-r -p --randomize-all --randomize-suites --fail-on-pending --fail-on-empty --keep-going --cover --race --trace --json-report --timeout --poll-progress-after/-interval), invoking via go run to pin the CLI to…

onsi/ginkgo · 132 tokens