fix-ci

A workflow for reproducing a failing automated check in GitHub Actions, GitHub’s service for running project checks, and fixing the code until the check passes.

In plain words
What is it for?
Use it to investigate a named CI failure, run the same command in a safe branch, edit the code, and verify that it exits successfully.
Why use it?
It turns a red check into a locally reproducible problem and prevents publishing changes while the check is still failing.

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/copilotkit/opentag/fix-ci
Any agent
npx skills add CopilotKit/OpenTag --skill fix-ci
Clone the repo
git clone --depth 1 https://github.com/CopilotKit/OpenTag

Made for: Claude Code, Codex.

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 166 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 $0.00036 $0.00166
Opus 5 $0.00018 $0.00083
Sonnet 5 $0.00007 $0.00033
Haiku 4.5 $0.00004 $0.00017

Measured 2d ago against content hash e56228423515, 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.

agent/coding/skills/fix-ci/SKILL.md · 18 lines

What it actually says

fix-ci

Reproduce a red GitHub check in the sandbox and make it green.

  1. Call prepare_repository, including pr_number for an existing PR.
  2. If the brief names a failing check, reproduce that command. Use the read-only GitHub Actions tools if you need its log. Never use gh.
  3. Work on the returned safe head branch.
  4. Edit until the reproduced command exits 0.
  5. If green, commit locally and call publish_changes.
  6. If red, do not call publish_changes. Return the log tail.
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 · 18 lines · 36 tokens per session scan A e56228423515

Subscribe to this mod's changes

fix-ci is a skill published in the GitHub repository CopilotKit/OpenTag (1,141 stars, last pushed 7d ago), licensed MIT. It adds 36 tokens to every session and 166 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.

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