fix-ci

A workflow for finding and fixing failing continuous-integration checks on a branch or pull request.

In plain words
What is it for?
It is for inspecting pull-request checks and logs, applying one focused fix at a time, pushing the changes, and checking whether the pipeline is green.
Why use it?
It identifies the first actionable build or test error and keeps fixes small, avoiding unfocused changes while restoring passing checks.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/ericlitman/open-pstack/fix-ci
Any agent
npx skills add ericlitman/open-pstack --skill fix-ci
Clone the repo
git clone --depth 1 https://github.com/ericlitman/open-pstack

Made for: Claude Code, Codex.

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 203 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00019 $0.00203
Opus 5 $0.00010 $0.00102
Sonnet 5 $0.00004 $0.00041
Haiku 4.5 $0.00002 $0.00020

Measured 2d ago against content hash 925f8c3e11de, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fix-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 2d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • fix-ci — 86% identical, 1 lines differ
plugins/pstack/skills/fix-ci/SKILL.md · 30 lines

What it actually says

Fix CI

Trigger

Branch or PR CI is failing and needs a fast, iterative path to green checks.

Workflow

  1. Resolve the active PR and inspect gh pr checks --json name,bucket,state,workflow,link.
  2. Inspect failed jobs and extract the first actionable error. Use GitHub Actions logs when available; otherwise use the check link to identify the failing command or service.
  3. Apply the smallest safe fix.
  4. Push, re-check the PR check set, and repeat until green.

Guardrails

  • Fix one actionable failure at a time.
  • Prefer minimal, low-risk changes before broader refactors.
  • Keep gh pr checks as the source of truth for overall PR CI state.

Output

  • Primary failing job and root error
  • Fixes applied in iteration order
  • Current CI status and next action
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 First seen · 30 lines · 19 tokens per session scan A 925f8c3e11de

Subscribe to this mod's changes

fix-ci is a skill published in the GitHub repository ericlitman/open-pstack (155 stars, last pushed 7d ago), licensed MIT. It adds 19 tokens to every session and 203 once invoked, about $0.0001 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.

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